id	sid	tid	token	lemma	pos
futech-532	1	1	pk	pk	PROPN
futech-532	1	2	.	.	PROPN
futech-532	1	3	tamrakar	tamrakar	PROPN
futech-532	1	4	et	et	PROPN
futech-532	1	5	al	al	PROPN
futech-532	1	6	.	.	PROPN
futech-532	1	7	/future	/future	PUNCT
futech-532	1	8	technology	technology	PROPN
futech-532	1	9	february	february	PROPN
futech-532	1	10	2026|	2026|	NUM
futech-532	1	11	volume	volume	NOUN
futech-532	1	12	05	05	NUM
futech-532	2	1	|	|	ADV
futech-532	2	2	issue	issue	NOUN
futech-532	2	3	01	01	NUM
futech-532	3	1	|	|	ADV
futech-532	3	2	pages	page	VERB
futech-532	3	3	38	38	NUM
futech-532	3	4	-	-	SYM
futech-532	3	5	46	46	NUM
futech-532	3	6	38	38	NUM
futech-532	3	7	article	article	NOUN
futech-532	3	8	innovative	innovative	ADJ
futech-532	3	9	approaches	approach	NOUN
futech-532	3	10	to	to	ADP
futech-532	3	11	software	software	NOUN
futech-532	3	12	defect	defect	NOUN
futech-532	3	13	prediction	prediction	NOUN
futech-532	3	14	using	use	VERB
futech-532	3	15	ensemble	ensemble	ADJ
futech-532	3	16	learning	learning	NOUN
futech-532	3	17	models	model	NOUN
futech-532	3	18	prashant	prashant	PROPN
futech-532	3	19	kumar	kumar	PROPN
futech-532	3	20	tamrakar1	tamrakar1	PROPN
futech-532	4	1	*	*	PROPN
futech-532	4	2	,	,	PUNCT
futech-532	4	3	deepjyoti	deepjyoti	PROPN
futech-532	4	4	roy2	roy2	PROPN
futech-532	4	5	,	,	PUNCT
futech-532	4	6	preeti	preeti	PROPN
futech-532	4	7	agarwal3	agarwal3	PROPN
futech-532	4	8	,	,	PUNCT
futech-532	4	9	mohammed	mohammed	PROPN
futech-532	4	10	fikery	fikery	PROPN
futech-532	4	11	ghemas4	ghemas4	PROPN
futech-532	4	12	,	,	PUNCT
futech-532	4	13	snigdha	snigdha	VERB
futech-532	4	14	madhab	madhab	PROPN
futech-532	4	15	ghosh5	ghosh5	PROPN
futech-532	4	16	,	,	PUNCT
futech-532	4	17	rekha	rekha	PROPN
futech-532	4	18	.	.	PUNCT
futech-532	5	1	k.s6	k.s6	PROPN
futech-532	5	2	,	,	PUNCT
futech-532	5	3	meenu	meenu	NOUN
futech-532	5	4	mohil7	mohil7	PROPN
futech-532	5	5	1department	1department	NUM
futech-532	5	6	of	of	ADP
futech-532	5	7	computer	computer	NOUN
futech-532	5	8	science	science	PROPN
futech-532	5	9	&	&	CCONJ
futech-532	5	10	engineering	engineering	PROPN
futech-532	5	11	,	,	PUNCT
futech-532	5	12	rungta	rungta	ADJ
futech-532	5	13	international	international	ADJ
futech-532	5	14	skill	skill	NOUN
futech-532	5	15	university	university	NOUN
futech-532	5	16	,	,	PUNCT
futech-532	5	17	chhattisgarh	chhattisgarh	PROPN
futech-532	5	18	,	,	PUNCT
futech-532	5	19	india	india	PROPN
futech-532	5	20	2department	2department	NUM
futech-532	5	21	of	of	ADP
futech-532	5	22	computer	computer	NOUN
futech-532	5	23	science	science	PROPN
futech-532	5	24	&	&	CCONJ
futech-532	5	25	engineering	engineering	PROPN
futech-532	5	26	,	,	PUNCT
futech-532	5	27	assam	assam	PROPN
futech-532	5	28	down	down	ADP
futech-532	5	29	town	town	PROPN
futech-532	5	30	university	university	PROPN
futech-532	5	31	,	,	PUNCT
futech-532	5	32	india	india	PROPN
futech-532	5	33	3narsee	3narsee	NUM
futech-532	5	34	monjee	monjee	PROPN
futech-532	5	35	institute	institute	PROPN
futech-532	5	36	of	of	ADP
futech-532	5	37	management	management	NOUN
futech-532	5	38	studies	study	NOUN
futech-532	5	39	,	,	PUNCT
futech-532	5	40	navi	navi	PROPN
futech-532	5	41	mumbai	mumbai	PROPN
futech-532	5	42	,	,	PUNCT
futech-532	5	43	india	india	PROPN
futech-532	5	44	4faculty	4faculty	PROPN
futech-532	5	45	of	of	ADP
futech-532	5	46	computers	computer	NOUN
futech-532	5	47	and	and	CCONJ
futech-532	5	48	information	information	NOUN
futech-532	5	49	technology	technology	NOUN
futech-532	5	50	,	,	PUNCT
futech-532	5	51	the	the	DET
futech-532	5	52	national	national	ADJ
futech-532	5	53	egyptian	egyptian	PROPN
futech-532	5	54	e	e	PROPN
futech-532	5	55	-	-	ADJ
futech-532	5	56	learning	learn	VERB
futech-532	5	57	university	university	NOUN
futech-532	5	58	(	(	PUNCT
futech-532	5	59	eelu	eelu	PROPN
futech-532	5	60	)	)	PUNCT
futech-532	5	61	,	,	PUNCT
futech-532	5	62	giza	giza	PROPN
futech-532	5	63	,	,	PUNCT
futech-532	5	64	egypt	egypt	PROPN
futech-532	5	65	5department	5department	NUM
futech-532	5	66	of	of	ADP
futech-532	5	67	cse	cse	PROPN
futech-532	5	68	-	-	PUNCT
futech-532	5	69	ai	ai	PROPN
futech-532	5	70	,	,	PUNCT
futech-532	5	71	brainware	brainware	NOUN
futech-532	5	72	university	university	NOUN
futech-532	5	73	,	,	PUNCT
futech-532	5	74	barasat	barasat	VERB
futech-532	5	75	,	,	PUNCT
futech-532	5	76	west	west	PROPN
futech-532	5	77	bengal	bengal	PROPN
futech-532	5	78	,	,	PUNCT
futech-532	5	79	india	india	PROPN
futech-532	5	80	6jss	6jss	NUM
futech-532	5	81	science	science	NOUN
futech-532	5	82	and	and	CCONJ
futech-532	5	83	technology	technology	NOUN
futech-532	5	84	university	university	NOUN
futech-532	5	85	,	,	PUNCT
futech-532	5	86	mysuru	mysuru	PROPN
futech-532	5	87	,	,	PUNCT
futech-532	5	88	india	india	PROPN
futech-532	5	89	7department	7department	NUM
futech-532	5	90	of	of	ADP
futech-532	5	91	physics	physics	PROPN
futech-532	5	92	,	,	PUNCT
futech-532	5	93	acharya	acharya	PROPN
futech-532	5	94	narendra	narendra	PROPN
futech-532	5	95	dev	dev	PROPN
futech-532	5	96	college	college	PROPN
futech-532	5	97	,	,	PUNCT
futech-532	5	98	university	university	PROPN
futech-532	5	99	of	of	ADP
futech-532	5	100	delhi	delhi	PROPN
futech-532	5	101	,	,	PUNCT
futech-532	5	102	delhi	delhi	PROPN
futech-532	5	103	,	,	PUNCT
futech-532	5	104	india	india	PROPN
futech-532	5	105	a	a	DET
futech-532	5	106	r	r	NOUN
futech-532	5	107	t	t	NOUN
futech-532	6	1	i	i	PRON
futech-532	6	2	c	c	NOUN
futech-532	6	3	l	l	NOUN
futech-532	6	4	e	e	NOUN
futech-532	7	1	i	i	PRON
futech-532	7	2	n	n	VERB
futech-532	7	3	f	f	NOUN
futech-532	7	4	o	o	NOUN
futech-532	7	5	article	article	NOUN
futech-532	7	6	history	history	NOUN
futech-532	7	7	:	:	PUNCT
futech-532	7	8	received	receive	VERB
futech-532	7	9	18	18	NUM
futech-532	7	10	august	august	PROPN
futech-532	7	11	2025	2025	NUM
futech-532	7	12	received	receive	VERB
futech-532	7	13	in	in	ADP
futech-532	7	14	revised	revise	VERB
futech-532	7	15	form	form	NOUN
futech-532	7	16	26	26	NUM
futech-532	7	17	september	september	PROPN
futech-532	7	18	2025	2025	NUM
futech-532	7	19	accepted	accept	VERB
futech-532	7	20	14	14	NUM
futech-532	7	21	october	october	PROPN
futech-532	7	22	2025	2025	NUM
futech-532	7	23	keywords	keyword	NOUN
futech-532	7	24	:	:	PUNCT
futech-532	7	25	software	software	NOUN
futech-532	7	26	defect	defect	NOUN
futech-532	7	27	prediction	prediction	NOUN
futech-532	7	28	,	,	PUNCT
futech-532	7	29	ensemble	ensemble	ADJ
futech-532	7	30	learning	learning	NOUN
futech-532	7	31	,	,	PUNCT
futech-532	7	32	stacking	stack	VERB
futech-532	7	33	model	model	NOUN
futech-532	7	34	,	,	PUNCT
futech-532	7	35	feature	feature	NOUN
futech-532	7	36	selection	selection	NOUN
futech-532	7	37	,	,	PUNCT
futech-532	7	38	smote	smote	VERB
futech-532	7	39	,	,	PUNCT
futech-532	7	40	machine	machine	NOUN
futech-532	7	41	learning	learning	NOUN
futech-532	7	42	*	*	PUNCT
futech-532	7	43	corresponding	correspond	VERB
futech-532	7	44	author	author	NOUN
futech-532	7	45	email	email	NOUN
futech-532	7	46	address	address	NOUN
futech-532	7	47	:	:	PUNCT
futech-532	7	48	prashant.tamrakar35@gmail.com	prashant.tamrakar35@gmail.com	X
futech-532	7	49	doi	doi	PROPN
futech-532	7	50	:	:	PUNCT
futech-532	7	51	10.55670	10.55670	NUM
futech-532	7	52	/	/	SYM
futech-532	7	53	fpll.futech.5.1.4	fpll.futech.5.1.4	VERB
futech-532	7	54	a	a	PRON
futech-532	7	55	b	b	PROPN
futech-532	7	56	s	s	ADP
futech-532	7	57	t	t	PROPN
futech-532	7	58	r	r	NOUN
futech-532	7	59	a	a	DET
futech-532	7	60	c	c	NOUN
futech-532	7	61	t	t	NOUN
futech-532	7	62	software	software	NOUN
futech-532	7	63	defect	defect	NOUN
futech-532	7	64	prediction	prediction	NOUN
futech-532	7	65	(	(	PUNCT
futech-532	7	66	sdp	sdp	NOUN
futech-532	7	67	)	)	PUNCT
futech-532	7	68	is	be	AUX
futech-532	7	69	one	one	NUM
futech-532	7	70	of	of	ADP
futech-532	7	71	the	the	DET
futech-532	7	72	most	most	ADV
futech-532	7	73	critical	critical	ADJ
futech-532	7	74	aspects	aspect	NOUN
futech-532	7	75	of	of	ADP
futech-532	7	76	software	software	NOUN
futech-532	7	77	quality	quality	NOUN
futech-532	7	78	improvement	improvement	NOUN
futech-532	7	79	and	and	CCONJ
futech-532	7	80	efficient	efficient	ADJ
futech-532	7	81	use	use	NOUN
futech-532	7	82	of	of	ADP
futech-532	7	83	testing	test	VERB
futech-532	7	84	resources	resource	NOUN
futech-532	7	85	.	.	PUNCT
futech-532	8	1	traditional	traditional	ADJ
futech-532	8	2	machine	machine	NOUN
futech-532	8	3	learning	learning	NOUN
futech-532	8	4	models	model	NOUN
futech-532	8	5	tend	tend	VERB
futech-532	8	6	to	to	PART
futech-532	8	7	lack	lack	VERB
futech-532	8	8	both	both	DET
futech-532	8	9	generalizability	generalizability	NOUN
futech-532	8	10	and	and	CCONJ
futech-532	8	11	performance	performance	NOUN
futech-532	8	12	,	,	PUNCT
futech-532	8	13	especially	especially	ADV
futech-532	8	14	when	when	SCONJ
futech-532	8	15	faced	face	VERB
futech-532	8	16	with	with	ADP
futech-532	8	17	imbalanced	imbalanced	ADJ
futech-532	8	18	or	or	CCONJ
futech-532	8	19	small	small	ADJ
futech-532	8	20	datasets	dataset	NOUN
futech-532	8	21	.	.	PUNCT
futech-532	9	1	to	to	PART
futech-532	9	2	overcome	overcome	VERB
futech-532	9	3	these	these	DET
futech-532	9	4	limitations	limitation	NOUN
futech-532	9	5	,	,	PUNCT
futech-532	9	6	the	the	DET
futech-532	9	7	current	current	ADJ
futech-532	9	8	research	research	NOUN
futech-532	9	9	proposed	propose	VERB
futech-532	9	10	a	a	DET
futech-532	9	11	stacked	stack	VERB
futech-532	9	12	ensemble	ensemble	ADJ
futech-532	9	13	learning	learning	NOUN
futech-532	9	14	model	model	NOUN
futech-532	9	15	that	that	PRON
futech-532	9	16	combines	combine	VERB
futech-532	9	17	random	random	ADJ
futech-532	9	18	forest	forest	NOUN
futech-532	9	19	,	,	PUNCT
futech-532	9	20	gradient	gradient	ADJ
futech-532	9	21	boosting	boosting	NOUN
futech-532	9	22	,	,	PUNCT
futech-532	9	23	and	and	CCONJ
futech-532	9	24	adaboost	adaboost	ADV
futech-532	9	25	as	as	ADP
futech-532	9	26	base	base	NOUN
futech-532	9	27	learners	learner	NOUN
futech-532	9	28	,	,	PUNCT
futech-532	9	29	and	and	CCONJ
futech-532	9	30	logistic	logistic	ADJ
futech-532	9	31	regression	regression	NOUN
futech-532	9	32	as	as	ADP
futech-532	9	33	a	a	DET
futech-532	9	34	meta	meta	ADJ
futech-532	9	35	-	-	PUNCT
futech-532	9	36	learner	learner	NOUN
futech-532	9	37	.	.	PUNCT
futech-532	10	1	a	a	DET
futech-532	10	2	selected	select	VERB
futech-532	10	3	collection	collection	NOUN
futech-532	10	4	of	of	ADP
futech-532	10	5	500	500	NUM
futech-532	10	6	software	software	NOUN
futech-532	10	7	modules	module	NOUN
futech-532	10	8	was	be	AUX
futech-532	10	9	sampled	sample	VERB
futech-532	10	10	out	out	ADP
futech-532	10	11	of	of	ADP
futech-532	10	12	four	four	NUM
futech-532	10	13	benchmark	benchmark	ADJ
futech-532	10	14	repositories	repository	NOUN
futech-532	10	15	:	:	PUNCT
futech-532	10	16	cm1	cm1	PROPN
futech-532	10	17	,	,	PUNCT
futech-532	10	18	pc1	pc1	PROPN
futech-532	10	19	,	,	PUNCT
futech-532	10	20	jm1	jm1	PROPN
futech-532	10	21	,	,	PUNCT
futech-532	10	22	and	and	CCONJ
futech-532	10	23	kc1	kc1	PROPN
futech-532	10	24	.	.	PROPN
futech-532	11	1	stratified	stratified	ADJ
futech-532	11	2	sampling	sampling	NOUN
futech-532	11	3	,	,	PUNCT
futech-532	11	4	min	min	PROPN
futech-532	11	5	-	-	ADJ
futech-532	11	6	max	max	PROPN
futech-532	11	7	normalization	normalization	NOUN
futech-532	11	8	,	,	PUNCT
futech-532	11	9	smote	smote	NOUN
futech-532	11	10	-	-	PUNCT
futech-532	11	11	based	base	VERB
futech-532	11	12	class	class	NOUN
futech-532	11	13	balancing	balancing	NOUN
futech-532	11	14	,	,	PUNCT
futech-532	11	15	feature	feature	NOUN
futech-532	11	16	selection	selection	NOUN
futech-532	11	17	via	via	ADP
futech-532	11	18	recursive	recursive	ADJ
futech-532	11	19	feature	feature	NOUN
futech-532	11	20	elimination	elimination	NOUN
futech-532	11	21	(	(	PUNCT
futech-532	11	22	rfe	rfe	NOUN
futech-532	11	23	)	)	PUNCT
futech-532	11	24	,	,	PUNCT
futech-532	11	25	and	and	CCONJ
futech-532	11	26	mutual	mutual	ADJ
futech-532	11	27	information	information	NOUN
futech-532	11	28	ranking	ranking	NOUN
futech-532	11	29	were	be	AUX
futech-532	11	30	used	use	VERB
futech-532	11	31	as	as	ADP
futech-532	11	32	preprocessing	preprocesse	VERB
futech-532	11	33	steps	step	NOUN
futech-532	11	34	.	.	PUNCT
futech-532	12	1	the	the	DET
futech-532	12	2	training	training	NOUN
futech-532	12	3	of	of	ADP
futech-532	12	4	the	the	DET
futech-532	12	5	models	model	NOUN
futech-532	12	6	used	use	VERB
futech-532	12	7	10	10	NUM
futech-532	12	8	-	-	ADJ
futech-532	12	9	fold	fold	ADJ
futech-532	12	10	cross	cross	NOUN
futech-532	12	11	-	-	NOUN
futech-532	12	12	validation	validation	ADJ
futech-532	12	13	,	,	PUNCT
futech-532	12	14	and	and	CCONJ
futech-532	12	15	hyperparameter	hyperparameter	NOUN
futech-532	12	16	optimization	optimization	NOUN
futech-532	12	17	was	be	AUX
futech-532	12	18	done	do	VERB
futech-532	12	19	using	use	VERB
futech-532	12	20	grid	grid	NOUN
futech-532	12	21	search	search	NOUN
futech-532	12	22	.	.	PUNCT
futech-532	13	1	the	the	DET
futech-532	13	2	findings	finding	NOUN
futech-532	13	3	showed	show	VERB
futech-532	13	4	that	that	SCONJ
futech-532	13	5	the	the	DET
futech-532	13	6	stacked	stack	VERB
futech-532	13	7	ensemble	ensemble	NOUN
futech-532	13	8	performed	perform	VERB
futech-532	13	9	better	well	ADV
futech-532	13	10	than	than	ADP
futech-532	13	11	any	any	DET
futech-532	13	12	single	single	ADJ
futech-532	13	13	classifier	classifier	NOUN
futech-532	13	14	on	on	ADP
futech-532	13	15	all	all	DET
futech-532	13	16	measures	measure	NOUN
futech-532	13	17	,	,	PUNCT
futech-532	13	18	with	with	ADP
futech-532	13	19	the	the	DET
futech-532	13	20	highest	high	ADJ
futech-532	13	21	accuracy	accuracy	NOUN
futech-532	13	22	of	of	ADP
futech-532	13	23	0.88	0.88	NUM
futech-532	13	24	and	and	CCONJ
futech-532	13	25	statistically	statistically	ADV
futech-532	13	26	significant	significant	ADJ
futech-532	13	27	improvements	improvement	NOUN
futech-532	13	28	in	in	ADP
futech-532	13	29	precision	precision	NOUN
futech-532	13	30	,	,	PUNCT
futech-532	13	31	recall	recall	NOUN
futech-532	13	32	,	,	PUNCT
futech-532	13	33	and	and	CCONJ
futech-532	13	34	f1	f1	NOUN
futech-532	13	35	-	-	PUNCT
futech-532	13	36	score	score	NOUN
futech-532	13	37	(	(	PUNCT
futech-532	13	38	p	p	X
futech-532	13	39	<	<	X
futech-532	13	40	0.05	0.05	NUM
futech-532	13	41	)	)	PUNCT
futech-532	13	42	.	.	PUNCT
futech-532	14	1	data	datum	NOUN
futech-532	14	2	balancing	balancing	NOUN
futech-532	14	3	and	and	CCONJ
futech-532	14	4	feature	feature	NOUN
futech-532	14	5	selection	selection	NOUN
futech-532	14	6	methods	method	NOUN
futech-532	14	7	also	also	ADV
futech-532	14	8	increased	increase	VERB
futech-532	14	9	model	model	NOUN
futech-532	14	10	stability	stability	NOUN
futech-532	14	11	and	and	CCONJ
futech-532	14	12	interpretability	interpretability	NOUN
futech-532	14	13	.	.	PUNCT
futech-532	15	1	in	in	ADP
futech-532	15	2	summary	summary	NOUN
futech-532	15	3	,	,	PUNCT
futech-532	15	4	the	the	DET
futech-532	15	5	suggested	suggest	VERB
futech-532	15	6	framework	framework	NOUN
futech-532	15	7	will	will	AUX
futech-532	15	8	provide	provide	VERB
futech-532	15	9	a	a	DET
futech-532	15	10	powerful	powerful	ADJ
futech-532	15	11	,	,	PUNCT
futech-532	15	12	scalable	scalable	ADJ
futech-532	15	13	,	,	PUNCT
futech-532	15	14	and	and	CCONJ
futech-532	15	15	resource	resource	NOUN
futech-532	15	16	-	-	PUNCT
futech-532	15	17	optimal	optimal	ADJ
futech-532	15	18	system	system	NOUN
futech-532	15	19	to	to	PART
futech-532	15	20	predict	predict	VERB
futech-532	15	21	software	software	NOUN
futech-532	15	22	defects	defect	NOUN
futech-532	15	23	.	.	PUNCT
futech-532	16	1	this	this	DET
futech-532	16	2	method	method	NOUN
futech-532	16	3	can	can	AUX
futech-532	16	4	be	be	AUX
futech-532	16	5	replicated	replicate	VERB
futech-532	16	6	in	in	ADP
futech-532	16	7	future	future	ADJ
futech-532	16	8	studies	study	NOUN
futech-532	16	9	on	on	ADP
futech-532	16	10	larger	large	ADJ
futech-532	16	11	datasets	dataset	NOUN
futech-532	16	12	and	and	CCONJ
futech-532	16	13	with	with	ADP
futech-532	16	14	deep	deep	ADJ
futech-532	16	15	learning	learning	NOUN
futech-532	16	16	–	–	PUNCT
futech-532	16	17	based	base	VERB
futech-532	16	18	meta	meta	NOUN
futech-532	16	19	-	-	PUNCT
futech-532	16	20	models	model	NOUN
futech-532	16	21	to	to	PART
futech-532	16	22	improve	improve	VERB
futech-532	16	23	adaptability	adaptability	NOUN
futech-532	16	24	.	.	PUNCT
futech-532	17	1	its	its	PRON
futech-532	17	2	integration	integration	NOUN
futech-532	17	3	of	of	ADP
futech-532	17	4	recursive	recursive	ADJ
futech-532	17	5	feature	feature	NOUN
futech-532	17	6	elimination	elimination	NOUN
futech-532	17	7	and	and	CCONJ
futech-532	17	8	mutualinformation	mutualinformation	NOUN
futech-532	17	9	feature	feature	NOUN
futech-532	17	10	ranking	rank	VERB
futech-532	17	11	within	within	ADP
futech-532	17	12	an	an	DET
futech-532	17	13	optimized	optimize	VERB
futech-532	17	14	stacking	stacking	NOUN
futech-532	17	15	design	design	NOUN
futech-532	17	16	,	,	PUNCT
futech-532	17	17	applied	apply	VERB
futech-532	17	18	to	to	ADP
futech-532	17	19	nasa	nasa	PROPN
futech-532	17	20	repositories	repository	NOUN
futech-532	17	21	for	for	ADP
futech-532	17	22	the	the	DET
futech-532	17	23	first	first	ADJ
futech-532	17	24	time	time	NOUN
futech-532	17	25	,	,	PUNCT
futech-532	17	26	demonstrates	demonstrate	VERB
futech-532	17	27	measurable	measurable	ADJ
futech-532	17	28	improvements	improvement	NOUN
futech-532	17	29	in	in	ADP
futech-532	17	30	generalization	generalization	NOUN
futech-532	17	31	and	and	CCONJ
futech-532	17	32	robustness	robustness	NOUN
futech-532	17	33	.	.	PUNCT
futech-532	18	1	1	1	X
futech-532	18	2	.	.	X
futech-532	18	3	introduction	introduction	NOUN
futech-532	18	4	software	software	NOUN
futech-532	18	5	dependability	dependability	NOUN
futech-532	18	6	has	have	AUX
futech-532	18	7	become	become	VERB
futech-532	18	8	a	a	DET
futech-532	18	9	critical	critical	ADJ
futech-532	18	10	issue	issue	NOUN
futech-532	18	11	in	in	ADP
futech-532	18	12	contemporary	contemporary	ADJ
futech-532	18	13	software	software	NOUN
futech-532	18	14	engineering	engineering	NOUN
futech-532	18	15	due	due	ADP
futech-532	18	16	to	to	ADP
futech-532	18	17	the	the	DET
futech-532	18	18	increased	increase	VERB
futech-532	18	19	adoption	adoption	NOUN
futech-532	18	20	of	of	ADP
futech-532	18	21	software	software	NOUN
futech-532	18	22	systems	system	NOUN
futech-532	18	23	in	in	ADP
futech-532	18	24	safety	safety	NOUN
futech-532	18	25	-	-	PUNCT
futech-532	18	26	critical	critical	ADJ
futech-532	18	27	,	,	PUNCT
futech-532	18	28	financial	financial	ADJ
futech-532	18	29	,	,	PUNCT
futech-532	18	30	and	and	CCONJ
futech-532	18	31	real	real	ADJ
futech-532	18	32	-	-	PUNCT
futech-532	18	33	time	time	NOUN
futech-532	18	34	applications	application	NOUN
futech-532	18	35	.	.	PUNCT
futech-532	19	1	with	with	ADP
futech-532	19	2	the	the	DET
futech-532	19	3	accelerated	accelerated	ADJ
futech-532	19	4	pace	pace	NOUN
futech-532	19	5	of	of	ADP
futech-532	19	6	development	development	NOUN
futech-532	19	7	through	through	ADP
futech-532	19	8	agile	agile	ADJ
futech-532	19	9	and	and	CCONJ
futech-532	19	10	devops	devop	NOUN
futech-532	19	11	practices	practice	NOUN
futech-532	19	12	,	,	PUNCT
futech-532	19	13	software	software	NOUN
futech-532	19	14	defect	defect	NOUN
futech-532	19	15	prediction	prediction	NOUN
futech-532	19	16	(	(	PUNCT
futech-532	19	17	sdp	sdp	NOUN
futech-532	19	18	)	)	PUNCT
futech-532	19	19	has	have	AUX
futech-532	19	20	become	become	VERB
futech-532	19	21	an	an	DET
futech-532	19	22	essential	essential	ADJ
futech-532	19	23	procedure	procedure	NOUN
futech-532	19	24	for	for	ADP
futech-532	19	25	identifying	identify	VERB
futech-532	19	26	possible	possible	ADJ
futech-532	19	27	faults	fault	NOUN
futech-532	19	28	before	before	ADP
futech-532	19	29	deployment	deployment	NOUN
futech-532	19	30	.	.	PUNCT
futech-532	20	1	effective	effective	ADJ
futech-532	20	2	sdp	sdp	NOUN
futech-532	20	3	enables	enable	VERB
futech-532	20	4	early	early	ADJ
futech-532	20	5	detection	detection	NOUN
futech-532	20	6	of	of	ADP
futech-532	20	7	problematic	problematic	ADJ
futech-532	20	8	code	code	NOUN
futech-532	20	9	elements	element	NOUN
futech-532	20	10	,	,	PUNCT
futech-532	20	11	allowing	allow	VERB
futech-532	20	12	developers	developer	NOUN
futech-532	20	13	to	to	PART
futech-532	20	14	focus	focus	VERB
futech-532	20	15	testing	test	VERB
futech-532	20	16	resources	resource	NOUN
futech-532	20	17	on	on	ADP
futech-532	20	18	high	high	ADJ
futech-532	20	19	-	-	PUNCT
futech-532	20	20	risk	risk	NOUN
futech-532	20	21	modules	module	NOUN
futech-532	20	22	and	and	CCONJ
futech-532	20	23	enhance	enhance	VERB
futech-532	20	24	software	software	NOUN
futech-532	20	25	quality	quality	NOUN
futech-532	20	26	assurance	assurance	NOUN
futech-532	20	27	.	.	PUNCT
futech-532	21	1	ml	ml	PROPN
futech-532	21	2	approaches	approach	NOUN
futech-532	21	3	have	have	AUX
futech-532	21	4	become	become	VERB
futech-532	21	5	prominent	prominent	ADJ
futech-532	21	6	in	in	ADP
futech-532	21	7	sdp	sdp	NOUN
futech-532	21	8	in	in	ADP
futech-532	21	9	recent	recent	ADJ
futech-532	21	10	years	year	NOUN
futech-532	21	11	,	,	PUNCT
futech-532	21	12	where	where	SCONJ
futech-532	21	13	they	they	PRON
futech-532	21	14	can	can	AUX
futech-532	21	15	be	be	AUX
futech-532	21	16	used	use	VERB
futech-532	21	17	to	to	PART
futech-532	21	18	learn	learn	VERB
futech-532	21	19	patterns	pattern	NOUN
futech-532	21	20	of	of	ADP
futech-532	21	21	code	code	NOUN
futech-532	21	22	complexity	complexity	NOUN
futech-532	21	23	,	,	PUNCT
futech-532	21	24	size	size	NOUN
futech-532	21	25	,	,	PUNCT
futech-532	21	26	coupling	coupling	NOUN
futech-532	21	27	,	,	PUNCT
futech-532	21	28	and	and	CCONJ
futech-532	21	29	other	other	ADJ
futech-532	21	30	software	software	NOUN
futech-532	21	31	metrics	metric	NOUN
futech-532	21	32	,	,	PUNCT
futech-532	21	33	and	and	CCONJ
futech-532	21	34	classify	classify	VERB
futech-532	21	35	modules	module	NOUN
futech-532	21	36	as	as	ADP
futech-532	21	37	defective	defective	ADJ
futech-532	21	38	or	or	CCONJ
futech-532	21	39	clean	clean	ADJ
futech-532	21	40	.	.	PUNCT
futech-532	22	1	nevertheless	nevertheless	ADV
futech-532	22	2	,	,	PUNCT
futech-532	22	3	traditional	traditional	ADJ
futech-532	22	4	ml	ml	NOUN
futech-532	22	5	classifiers	classifier	NOUN
futech-532	22	6	,	,	PUNCT
futech-532	22	7	such	such	ADJ
futech-532	22	8	as	as	ADP
futech-532	22	9	naive	naive	ADJ
futech-532	22	10	bayes	bayes	NOUN
futech-532	22	11	models	model	NOUN
futech-532	22	12	,	,	PUNCT
futech-532	22	13	support	support	VERB
futech-532	22	14	vector	vector	NOUN
futech-532	22	15	machines	machine	NOUN
futech-532	22	16	,	,	PUNCT
futech-532	22	17	and	and	CCONJ
futech-532	22	18	decision	decision	NOUN
futech-532	22	19	trees	tree	NOUN
futech-532	22	20	,	,	PUNCT
futech-532	22	21	struggle	struggle	NOUN
futech-532	22	22	with	with	ADP
futech-532	22	23	generalization	generalization	NOUN
futech-532	22	24	and	and	CCONJ
futech-532	22	25	thus	thus	ADV
futech-532	22	26	perform	perform	VERB
futech-532	22	27	poorly	poorly	ADV
futech-532	22	28	on	on	ADP
futech-532	22	29	imbalanced	imbalanced	ADJ
futech-532	22	30	and	and	CCONJ
futech-532	22	31	highdimensional	highdimensional	ADJ
futech-532	22	32	data	datum	NOUN
futech-532	22	33	[	[	X
futech-532	22	34	1,2	1,2	NUM
futech-532	22	35	]	]	PUNCT
futech-532	22	36	.	.	PUNCT
futech-532	23	1	such	such	ADJ
futech-532	23	2	shortcomings	shortcoming	NOUN
futech-532	23	3	have	have	AUX
futech-532	23	4	prompted	prompt	VERB
futech-532	23	5	the	the	DET
futech-532	23	6	researchers	researcher	NOUN
futech-532	23	7	to	to	PART
futech-532	23	8	consider	consider	VERB
futech-532	23	9	more	more	ADV
futech-532	23	10	effective	effective	ADJ
futech-532	23	11	and	and	CCONJ
futech-532	23	12	flexible	flexible	ADJ
futech-532	23	13	methods	method	NOUN
futech-532	23	14	,	,	PUNCT
futech-532	23	15	with	with	ADP
futech-532	23	16	ensemble	ensemble	ADJ
futech-532	23	17	learning	learning	NOUN
futech-532	23	18	models	model	NOUN
futech-532	23	19	proving	prove	VERB
futech-532	23	20	to	to	PART
futech-532	23	21	be	be	AUX
futech-532	23	22	the	the	DET
futech-532	23	23	most	most	ADV
futech-532	23	24	effective	effective	ADJ
futech-532	23	25	.	.	PUNCT
futech-532	24	1	ensemble	ensemble	ADJ
futech-532	24	2	learning	learning	NOUN
futech-532	24	3	employs	employ	VERB
futech-532	24	4	a	a	DET
futech-532	24	5	combination	combination	NOUN
futech-532	24	6	of	of	ADP
futech-532	24	7	several	several	ADJ
futech-532	24	8	base	base	NOUN
futech-532	24	9	learners	learner	NOUN
futech-532	24	10	to	to	PART
futech-532	24	11	enhance	enhance	VERB
futech-532	24	12	prediction	prediction	NOUN
futech-532	24	13	accuracy	accuracy	NOUN
futech-532	24	14	by	by	ADP
futech-532	24	15	avoiding	avoid	VERB
futech-532	24	16	overfitting	overfitte	VERB
futech-532	24	17	and	and	CCONJ
futech-532	24	18	achieving	achieve	VERB
futech-532	24	19	more	more	ADV
futech-532	24	20	stable	stable	ADJ
futech-532	24	21	models	model	NOUN
futech-532	24	22	.	.	PUNCT
futech-532	25	1	future	future	ADJ
futech-532	25	2	technology	technology	NOUN
futech-532	25	3	open	open	ADJ
futech-532	25	4	access	access	NOUN
futech-532	25	5	journal	journal	PROPN
futech-532	25	6	https://doi.org/10.55670/fpll.futech.5.1.4	https://doi.org/10.55670/fpll.futech.5.1.4	PROPN
futech-532	25	7	february	february	PROPN
futech-532	25	8	2026|	2026|	NUM
futech-532	25	9	volume	volume	NOUN
futech-532	25	10	05	05	NUM
futech-532	26	1	|	|	ADV
futech-532	26	2	issue	issue	NOUN
futech-532	26	3	01	01	NUM
futech-532	27	1	|	|	ADV
futech-532	27	2	pages	page	VERB
futech-532	27	3	38	38	NUM
futech-532	27	4	-	-	SYM
futech-532	27	5	46	46	NUM
futech-532	27	6	journal	journal	NOUN
futech-532	27	7	homepage	homepage	NOUN
futech-532	27	8	:	:	PUNCT
futech-532	27	9	https://fupubco.com/futech	https://fupubco.com/futech	PROPN
futech-532	27	10	issn	issn	VERB
futech-532	27	11	2832	2832	NUM
futech-532	27	12	-	-	SYM
futech-532	27	13	0379	0379	NUM
futech-532	27	14	mailto:prashant.tamrakar35@gmail.com	mailto:prashant.tamrakar35@gmail.com	PROPN
futech-532	27	15	https://doi.org/10.55670/fpll.futech.5.1.4	https://doi.org/10.55670/fpll.futech.5.1.4	NOUN
futech-532	27	16	https://fupubco.com/futech	https://fupubco.com/futech	PROPN
futech-532	27	17	pk	pk	PROPN
futech-532	27	18	.	.	PROPN
futech-532	27	19	tamrakar	tamrakar	PROPN
futech-532	28	1	et	et	PROPN
futech-532	28	2	al	al	PROPN
futech-532	28	3	.	.	PROPN
futech-532	28	4	/future	/future	PUNCT
futech-532	28	5	technology	technology	PROPN
futech-532	28	6	february	february	PROPN
futech-532	28	7	2026|	2026|	NUM
futech-532	28	8	volume	volume	NOUN
futech-532	28	9	05	05	NUM
futech-532	29	1	|	|	ADV
futech-532	29	2	issue	issue	NOUN
futech-532	29	3	01	01	NUM
futech-532	30	1	|	|	ADV
futech-532	30	2	pages	page	VERB
futech-532	30	3	38	38	NUM
futech-532	30	4	-	-	SYM
futech-532	30	5	46	46	NUM
futech-532	30	6	39	39	NUM
futech-532	30	7	random	random	ADJ
futech-532	30	8	forest	forest	NOUN
futech-532	30	9	,	,	PUNCT
futech-532	30	10	gradient	gradient	ADJ
futech-532	30	11	boosting	boosting	NOUN
futech-532	30	12	,	,	PUNCT
futech-532	30	13	and	and	CCONJ
futech-532	30	14	adaboost	adaboost	ADV
futech-532	30	15	are	be	AUX
futech-532	30	16	tree	tree	NOUN
futech-532	30	17	-	-	PUNCT
futech-532	30	18	based	base	VERB
futech-532	30	19	ensembles	ensemble	NOUN
futech-532	30	20	that	that	PRON
futech-532	30	21	have	have	AUX
futech-532	30	22	performed	perform	VERB
futech-532	30	23	well	well	ADV
futech-532	30	24	on	on	ADP
futech-532	30	25	a	a	DET
futech-532	30	26	number	number	NOUN
futech-532	30	27	of	of	ADP
futech-532	30	28	sdp	sdp	NOUN
futech-532	30	29	tasks	task	NOUN
futech-532	30	30	because	because	SCONJ
futech-532	30	31	of	of	ADP
futech-532	30	32	their	their	PRON
futech-532	30	33	capacity	capacity	NOUN
futech-532	30	34	to	to	PART
futech-532	30	35	model	model	VERB
futech-532	30	36	complex	complex	ADJ
futech-532	30	37	decision	decision	NOUN
futech-532	30	38	boundaries	boundary	NOUN
futech-532	30	39	[	[	X
futech-532	30	40	3,4	3,4	NUM
futech-532	30	41	]	]	PUNCT
futech-532	30	42	.	.	PUNCT
futech-532	31	1	stacking	stack	VERB
futech-532	31	2	generalization	generalization	NOUN
futech-532	31	3	is	be	AUX
futech-532	31	4	a	a	DET
futech-532	31	5	more	more	ADV
futech-532	31	6	recent	recent	ADJ
futech-532	31	7	advanced	advanced	ADJ
futech-532	31	8	ensemble	ensemble	ADJ
futech-532	31	9	method	method	NOUN
futech-532	31	10	that	that	PRON
futech-532	31	11	has	have	AUX
futech-532	31	12	attracted	attract	VERB
futech-532	31	13	attention	attention	NOUN
futech-532	31	14	due	due	ADP
futech-532	31	15	to	to	ADP
futech-532	31	16	its	its	PRON
futech-532	31	17	potential	potential	NOUN
futech-532	31	18	to	to	PART
futech-532	31	19	combine	combine	VERB
futech-532	31	20	heterogeneous	heterogeneous	ADJ
futech-532	31	21	classifiers	classifier	NOUN
futech-532	31	22	and	and	CCONJ
futech-532	31	23	to	to	PART
futech-532	31	24	learn	learn	VERB
futech-532	31	25	optimal	optimal	ADJ
futech-532	31	26	combinations	combination	NOUN
futech-532	31	27	using	use	VERB
futech-532	31	28	metalearning	metalearne	VERB
futech-532	31	29	layers	layer	NOUN
futech-532	31	30	.	.	PUNCT
futech-532	32	1	stacking	stack	VERB
futech-532	32	2	optimized	optimize	VERB
futech-532	32	3	tree	tree	NOUN
futech-532	32	4	-	-	PUNCT
futech-532	32	5	based	base	VERB
futech-532	32	6	ensembles	ensemble	NOUN
futech-532	32	7	has	have	AUX
futech-532	32	8	performed	perform	VERB
futech-532	32	9	remarkably	remarkably	ADV
futech-532	32	10	well	well	ADV
futech-532	32	11	,	,	PUNCT
futech-532	32	12	surpassing	surpass	VERB
futech-532	32	13	individual	individual	ADJ
futech-532	32	14	models	model	NOUN
futech-532	32	15	with	with	ADP
futech-532	32	16	improved	improved	ADJ
futech-532	32	17	defect	defect	NOUN
futech-532	32	18	detection	detection	NOUN
futech-532	32	19	and	and	CCONJ
futech-532	32	20	robustness	robustness	NOUN
futech-532	32	21	across	across	ADP
futech-532	32	22	diverse	diverse	ADJ
futech-532	32	23	datasets	dataset	NOUN
futech-532	32	24	[	[	X
futech-532	32	25	1	1	NUM
futech-532	32	26	]	]	PUNCT
futech-532	32	27	.	.	PUNCT
futech-532	33	1	in	in	ADP
futech-532	33	2	parallel	parallel	ADJ
futech-532	33	3	,	,	PUNCT
futech-532	33	4	feature	feature	NOUN
futech-532	33	5	selection	selection	NOUN
futech-532	33	6	has	have	AUX
futech-532	33	7	become	become	VERB
futech-532	33	8	a	a	DET
futech-532	33	9	critical	critical	ADJ
futech-532	33	10	element	element	NOUN
futech-532	33	11	in	in	ADP
futech-532	33	12	boosting	boost	VERB
futech-532	33	13	the	the	DET
futech-532	33	14	effectiveness	effectiveness	NOUN
futech-532	33	15	of	of	ADP
futech-532	33	16	models	model	NOUN
futech-532	33	17	for	for	ADP
futech-532	33	18	predicting	predict	VERB
futech-532	33	19	defects	defect	NOUN
futech-532	33	20	.	.	PUNCT
futech-532	34	1	the	the	DET
futech-532	34	2	presence	presence	NOUN
futech-532	34	3	of	of	ADP
futech-532	34	4	irrelevant	irrelevant	ADJ
futech-532	34	5	or	or	CCONJ
futech-532	34	6	redundant	redundant	ADJ
futech-532	34	7	features	feature	NOUN
futech-532	34	8	not	not	PART
futech-532	34	9	only	only	ADV
futech-532	34	10	increases	increase	VERB
futech-532	34	11	model	model	NOUN
futech-532	34	12	complexity	complexity	NOUN
futech-532	34	13	but	but	CCONJ
futech-532	34	14	also	also	ADV
futech-532	34	15	reduces	reduce	VERB
futech-532	34	16	predictive	predictive	ADJ
futech-532	34	17	accuracy	accuracy	NOUN
futech-532	34	18	.	.	PUNCT
futech-532	35	1	employing	employ	VERB
futech-532	35	2	effective	effective	ADJ
futech-532	35	3	feature	feature	NOUN
futech-532	35	4	selection	selection	NOUN
futech-532	35	5	techniques	technique	NOUN
futech-532	35	6	before	before	ADP
futech-532	35	7	training	training	NOUN
futech-532	35	8	allows	allow	VERB
futech-532	35	9	ensemble	ensemble	ADJ
futech-532	35	10	learners	learner	NOUN
futech-532	35	11	to	to	PART
futech-532	35	12	focus	focus	VERB
futech-532	35	13	on	on	ADP
futech-532	35	14	the	the	DET
futech-532	35	15	most	most	ADV
futech-532	35	16	informative	informative	ADJ
futech-532	35	17	software	software	NOUN
futech-532	35	18	metrics	metric	NOUN
futech-532	35	19	,	,	PUNCT
futech-532	35	20	resulting	result	VERB
futech-532	35	21	in	in	ADP
futech-532	35	22	improved	improve	VERB
futech-532	35	23	classification	classification	NOUN
futech-532	35	24	performance	performance	NOUN
futech-532	35	25	and	and	CCONJ
futech-532	35	26	computational	computational	ADJ
futech-532	35	27	efficiency	efficiency	NOUN
futech-532	35	28	[	[	X
futech-532	35	29	2	2	NUM
futech-532	35	30	-	-	SYM
futech-532	35	31	4	4	NUM
futech-532	35	32	]	]	PUNCT
futech-532	35	33	.	.	PUNCT
futech-532	36	1	integrating	integrate	VERB
futech-532	36	2	deep	deep	ADJ
futech-532	36	3	learning	learning	NOUN
futech-532	36	4	approaches	approach	NOUN
futech-532	36	5	with	with	ADP
futech-532	36	6	ensemble	ensemble	ADJ
futech-532	36	7	frameworks	framework	NOUN
futech-532	36	8	such	such	ADJ
futech-532	36	9	as	as	ADP
futech-532	36	10	cnn	cnn	PROPN
futech-532	36	11	-	-	PUNCT
futech-532	36	12	bilstm	bilstm	NOUN
futech-532	36	13	hybrids	hybrid	NOUN
futech-532	36	14	has	have	AUX
futech-532	36	15	recently	recently	ADV
futech-532	36	16	emerged	emerge	VERB
futech-532	36	17	as	as	ADP
futech-532	36	18	a	a	DET
futech-532	36	19	frontier	frontier	NOUN
futech-532	36	20	area	area	NOUN
futech-532	36	21	,	,	PUNCT
futech-532	36	22	offering	offer	VERB
futech-532	36	23	the	the	DET
futech-532	36	24	capacity	capacity	NOUN
futech-532	36	25	to	to	PART
futech-532	36	26	automatically	automatically	ADV
futech-532	36	27	extract	extract	VERB
futech-532	36	28	high	high	ADJ
futech-532	36	29	-	-	PUNCT
futech-532	36	30	level	level	NOUN
futech-532	36	31	representations	representation	NOUN
futech-532	36	32	from	from	ADP
futech-532	36	33	raw	raw	ADJ
futech-532	36	34	data	datum	NOUN
futech-532	36	35	and	and	CCONJ
futech-532	36	36	sequential	sequential	ADJ
futech-532	36	37	software	software	NOUN
futech-532	36	38	behaviors	behavior	NOUN
futech-532	36	39	[	[	X
futech-532	36	40	5	5	NUM
futech-532	36	41	,	,	PUNCT
futech-532	36	42	6	6	NUM
futech-532	36	43	]	]	PUNCT
futech-532	36	44	.	.	PUNCT
futech-532	37	1	although	although	SCONJ
futech-532	37	2	ensemble	ensemble	ADJ
futech-532	37	3	-	-	PUNCT
futech-532	37	4	based	base	VERB
futech-532	37	5	models	model	NOUN
futech-532	37	6	have	have	AUX
futech-532	37	7	advanced	advance	VERB
futech-532	37	8	the	the	DET
futech-532	37	9	state	state	NOUN
futech-532	37	10	of	of	ADP
futech-532	37	11	defect	defect	ADJ
futech-532	37	12	prediction	prediction	NOUN
futech-532	37	13	,	,	PUNCT
futech-532	37	14	several	several	ADJ
futech-532	37	15	unresolved	unresolved	ADJ
futech-532	37	16	challenges	challenge	NOUN
futech-532	37	17	continue	continue	VERB
futech-532	37	18	to	to	PART
futech-532	37	19	limit	limit	VERB
futech-532	37	20	their	their	PRON
futech-532	37	21	full	full	ADJ
futech-532	37	22	potential	potential	NOUN
futech-532	37	23	.	.	PUNCT
futech-532	38	1	one	one	NUM
futech-532	38	2	of	of	ADP
futech-532	38	3	the	the	DET
futech-532	38	4	foremost	foremost	ADJ
futech-532	38	5	issues	issue	NOUN
futech-532	38	6	is	be	AUX
futech-532	38	7	the	the	DET
futech-532	38	8	generalizability	generalizability	NOUN
futech-532	38	9	of	of	ADP
futech-532	38	10	existing	exist	VERB
futech-532	38	11	models	model	NOUN
futech-532	38	12	across	across	ADP
futech-532	38	13	different	different	ADJ
futech-532	38	14	software	software	NOUN
futech-532	38	15	repositories	repository	NOUN
futech-532	38	16	.	.	PUNCT
futech-532	39	1	many	many	ADJ
futech-532	39	2	approaches	approach	NOUN
futech-532	39	3	demonstrate	demonstrate	VERB
futech-532	39	4	high	high	ADJ
futech-532	39	5	performance	performance	NOUN
futech-532	39	6	on	on	ADP
futech-532	39	7	specific	specific	ADJ
futech-532	39	8	benchmark	benchmark	NOUN
futech-532	39	9	datasets	dataset	NOUN
futech-532	39	10	but	but	CCONJ
futech-532	39	11	fail	fail	VERB
futech-532	39	12	to	to	PART
futech-532	39	13	maintain	maintain	VERB
futech-532	39	14	their	their	PRON
futech-532	39	15	effectiveness	effectiveness	NOUN
futech-532	39	16	when	when	SCONJ
futech-532	39	17	applied	apply	VERB
futech-532	39	18	to	to	ADP
futech-532	39	19	new	new	ADJ
futech-532	39	20	or	or	CCONJ
futech-532	39	21	heterogeneous	heterogeneous	ADJ
futech-532	39	22	projects	project	NOUN
futech-532	39	23	,	,	PUNCT
futech-532	39	24	thus	thus	ADV
futech-532	39	25	limiting	limit	VERB
futech-532	39	26	their	their	PRON
futech-532	39	27	practical	practical	ADJ
futech-532	39	28	applicability	applicability	NOUN
futech-532	39	29	in	in	ADP
futech-532	39	30	real	real	ADJ
futech-532	39	31	-	-	PUNCT
futech-532	39	32	world	world	NOUN
futech-532	39	33	development	development	NOUN
futech-532	39	34	scenarios	scenario	NOUN
futech-532	39	35	[	[	X
futech-532	39	36	7	7	NUM
futech-532	39	37	,	,	PUNCT
futech-532	39	38	8	8	NUM
futech-532	39	39	]	]	PUNCT
futech-532	39	40	.	.	PUNCT
futech-532	40	1	another	another	DET
futech-532	40	2	significant	significant	ADJ
futech-532	40	3	limitation	limitation	NOUN
futech-532	40	4	lies	lie	VERB
futech-532	40	5	in	in	ADP
futech-532	40	6	the	the	DET
futech-532	40	7	homogeneous	homogeneous	ADJ
futech-532	40	8	nature	nature	NOUN
futech-532	40	9	of	of	ADP
futech-532	40	10	many	many	ADJ
futech-532	40	11	ensemble	ensemble	ADJ
futech-532	40	12	techniques	technique	NOUN
futech-532	40	13	.	.	PUNCT
futech-532	41	1	while	while	SCONJ
futech-532	41	2	bagging	bag	VERB
futech-532	41	3	and	and	CCONJ
futech-532	41	4	boosting	boost	VERB
futech-532	41	5	leverage	leverage	NOUN
futech-532	41	6	the	the	DET
futech-532	41	7	diversity	diversity	NOUN
futech-532	41	8	of	of	ADP
futech-532	41	9	training	training	NOUN
futech-532	41	10	data	datum	NOUN
futech-532	41	11	,	,	PUNCT
futech-532	41	12	they	they	PRON
futech-532	41	13	often	often	ADV
futech-532	41	14	use	use	VERB
futech-532	41	15	the	the	DET
futech-532	41	16	same	same	ADJ
futech-532	41	17	base	base	NOUN
futech-532	41	18	learner	learner	NOUN
futech-532	41	19	types	type	NOUN
futech-532	41	20	.	.	PUNCT
futech-532	42	1	in	in	ADP
futech-532	42	2	contrast	contrast	NOUN
futech-532	42	3	,	,	PUNCT
futech-532	42	4	heterogeneous	heterogeneous	ADJ
futech-532	42	5	ensembles	ensemble	NOUN
futech-532	42	6	,	,	PUNCT
futech-532	42	7	particularly	particularly	ADV
futech-532	42	8	stacking	stack	VERB
futech-532	42	9	models	model	NOUN
futech-532	42	10	that	that	PRON
futech-532	42	11	integrate	integrate	VERB
futech-532	42	12	multiple	multiple	ADJ
futech-532	42	13	diverse	diverse	ADJ
futech-532	42	14	classifiers	classifier	NOUN
futech-532	42	15	,	,	PUNCT
futech-532	42	16	can	can	AUX
futech-532	42	17	exploit	exploit	VERB
futech-532	42	18	different	different	ADJ
futech-532	42	19	inductive	inductive	ADJ
futech-532	42	20	biases	bias	NOUN
futech-532	42	21	to	to	PART
futech-532	42	22	yield	yield	VERB
futech-532	42	23	better	well	ADJ
futech-532	42	24	results	result	NOUN
futech-532	42	25	.	.	PUNCT
futech-532	43	1	however	however	ADV
futech-532	43	2	,	,	PUNCT
futech-532	43	3	the	the	DET
futech-532	43	4	design	design	NOUN
futech-532	43	5	and	and	CCONJ
futech-532	43	6	optimization	optimization	NOUN
futech-532	43	7	of	of	ADP
futech-532	43	8	such	such	ADJ
futech-532	43	9	stacked	stack	VERB
futech-532	43	10	frameworks	framework	NOUN
futech-532	43	11	remain	remain	VERB
futech-532	43	12	complex	complex	ADJ
futech-532	43	13	and	and	CCONJ
futech-532	43	14	underexplored	underexplored	ADJ
futech-532	43	15	within	within	ADP
futech-532	43	16	sdp	sdp	NOUN
futech-532	44	1	[	[	X
futech-532	44	2	9	9	NUM
futech-532	44	3	,	,	PUNCT
futech-532	44	4	10	10	NUM
futech-532	44	5	]	]	PUNCT
futech-532	44	6	.	.	PUNCT
futech-532	45	1	furthermore	furthermore	ADV
futech-532	45	2	,	,	PUNCT
futech-532	45	3	most	most	ADJ
futech-532	45	4	stacking	stacking	NOUN
futech-532	45	5	methods	method	NOUN
futech-532	45	6	do	do	AUX
futech-532	45	7	not	not	PART
futech-532	45	8	effectively	effectively	ADV
futech-532	45	9	incorporate	incorporate	VERB
futech-532	45	10	domain	domain	NOUN
futech-532	45	11	-	-	PUNCT
futech-532	45	12	specific	specific	ADJ
futech-532	45	13	insights	insight	NOUN
futech-532	45	14	from	from	ADP
futech-532	45	15	software	software	NOUN
futech-532	45	16	engineering	engineering	NOUN
futech-532	45	17	,	,	PUNCT
futech-532	45	18	such	such	ADJ
futech-532	45	19	as	as	ADP
futech-532	45	20	the	the	DET
futech-532	45	21	relevance	relevance	NOUN
futech-532	45	22	of	of	ADP
futech-532	45	23	individual	individual	ADJ
futech-532	45	24	software	software	NOUN
futech-532	45	25	metrics	metric	NOUN
futech-532	45	26	or	or	CCONJ
futech-532	45	27	module	module	NOUN
futech-532	45	28	characteristics	characteristic	NOUN
futech-532	45	29	[	[	X
futech-532	45	30	1	1	NUM
futech-532	45	31	-	-	SYM
futech-532	45	32	3	3	NUM
futech-532	45	33	]	]	PUNCT
futech-532	45	34	.	.	PUNCT
futech-532	46	1	despite	despite	SCONJ
futech-532	46	2	the	the	DET
futech-532	46	3	success	success	NOUN
futech-532	46	4	of	of	ADP
futech-532	46	5	deep	deep	ADJ
futech-532	46	6	learning	learning	NOUN
futech-532	46	7	across	across	ADP
futech-532	46	8	various	various	ADJ
futech-532	46	9	domains	domain	NOUN
futech-532	46	10	,	,	PUNCT
futech-532	46	11	its	its	PRON
futech-532	46	12	integration	integration	NOUN
futech-532	46	13	with	with	ADP
futech-532	46	14	ensemble	ensemble	ADJ
futech-532	46	15	learning	learning	NOUN
futech-532	46	16	for	for	ADP
futech-532	46	17	defect	defect	NOUN
futech-532	46	18	prediction	prediction	NOUN
futech-532	46	19	remains	remain	VERB
futech-532	46	20	limited	limited	ADJ
futech-532	46	21	.	.	PUNCT
futech-532	47	1	hybrid	hybrid	NOUN
futech-532	47	2	models	model	NOUN
futech-532	47	3	combining	combine	VERB
futech-532	47	4	deep	deep	ADJ
futech-532	47	5	networks	network	NOUN
futech-532	47	6	like	like	ADP
futech-532	47	7	cnn	cnn	PROPN
futech-532	47	8	and	and	CCONJ
futech-532	47	9	bi	bi	NOUN
futech-532	47	10	-	-	NOUN
futech-532	47	11	lstm	lstm	ADJ
futech-532	47	12	with	with	ADP
futech-532	47	13	ensemble	ensemble	ADJ
futech-532	47	14	classifiers	classifier	NOUN
futech-532	47	15	have	have	VERB
futech-532	47	16	the	the	DET
futech-532	47	17	potential	potential	NOUN
futech-532	47	18	to	to	PART
futech-532	47	19	identify	identify	VERB
futech-532	47	20	patterns	pattern	NOUN
futech-532	47	21	in	in	ADP
futech-532	47	22	software	software	NOUN
futech-532	47	23	data	datum	NOUN
futech-532	47	24	that	that	PRON
futech-532	47	25	are	be	AUX
futech-532	47	26	both	both	ADV
futech-532	47	27	spatial	spatial	ADJ
futech-532	47	28	and	and	CCONJ
futech-532	47	29	temporal	temporal	ADJ
futech-532	47	30	,	,	PUNCT
futech-532	47	31	yet	yet	CCONJ
futech-532	47	32	current	current	ADJ
futech-532	47	33	research	research	NOUN
futech-532	47	34	in	in	ADP
futech-532	47	35	this	this	DET
futech-532	47	36	area	area	NOUN
futech-532	47	37	is	be	AUX
futech-532	47	38	sparse	sparse	ADJ
futech-532	47	39	and	and	CCONJ
futech-532	47	40	lacks	lack	VERB
futech-532	47	41	comprehensive	comprehensive	ADJ
futech-532	47	42	evaluations	evaluation	NOUN
futech-532	47	43	[	[	X
futech-532	47	44	8,9	8,9	NUM
futech-532	47	45	]	]	PUNCT
futech-532	47	46	.	.	PUNCT
futech-532	48	1	many	many	ADJ
futech-532	48	2	existing	exist	VERB
futech-532	48	3	studies	study	NOUN
futech-532	48	4	do	do	AUX
futech-532	48	5	not	not	PART
futech-532	48	6	rigorously	rigorously	ADV
futech-532	48	7	examine	examine	VERB
futech-532	48	8	the	the	DET
futech-532	48	9	interplay	interplay	NOUN
futech-532	48	10	between	between	ADP
futech-532	48	11	feature	feature	NOUN
futech-532	48	12	selection	selection	NOUN
futech-532	48	13	techniques	technique	NOUN
futech-532	48	14	and	and	CCONJ
futech-532	48	15	ensemble	ensemble	ADJ
futech-532	48	16	models	model	NOUN
futech-532	48	17	,	,	PUNCT
futech-532	48	18	leading	lead	VERB
futech-532	48	19	to	to	ADP
futech-532	48	20	suboptimal	suboptimal	ADJ
futech-532	48	21	configurations	configuration	NOUN
futech-532	48	22	that	that	PRON
futech-532	48	23	limit	limit	VERB
futech-532	48	24	predictive	predictive	ADJ
futech-532	48	25	strength	strength	NOUN
futech-532	48	26	[	[	X
futech-532	48	27	2	2	NUM
futech-532	48	28	-	-	SYM
futech-532	48	29	4	4	NUM
futech-532	48	30	]	]	PUNCT
futech-532	48	31	.	.	PUNCT
futech-532	49	1	despite	despite	SCONJ
futech-532	49	2	notable	notable	ADJ
futech-532	49	3	progress	progress	NOUN
futech-532	49	4	,	,	PUNCT
futech-532	49	5	existing	exist	VERB
futech-532	49	6	studies	study	NOUN
futech-532	49	7	lack	lack	VERB
futech-532	49	8	a	a	DET
futech-532	49	9	unified	unified	ADJ
futech-532	49	10	framework	framework	NOUN
futech-532	49	11	that	that	PRON
futech-532	49	12	jointly	jointly	ADV
futech-532	49	13	tackles	tackle	VERB
futech-532	49	14	feature	feature	NOUN
futech-532	49	15	selection	selection	NOUN
futech-532	49	16	,	,	PUNCT
futech-532	49	17	data	datum	NOUN
futech-532	49	18	imbalance	imbalance	NOUN
futech-532	49	19	,	,	PUNCT
futech-532	49	20	and	and	CCONJ
futech-532	49	21	ensemble	ensemble	ADJ
futech-532	49	22	heterogeneity	heterogeneity	NOUN
futech-532	49	23	in	in	ADP
futech-532	49	24	software	software	NOUN
futech-532	49	25	defect	defect	NOUN
futech-532	49	26	prediction	prediction	NOUN
futech-532	49	27	.	.	PUNCT
futech-532	50	1	this	this	DET
futech-532	50	2	study	study	NOUN
futech-532	50	3	addresses	address	NOUN
futech-532	50	4	that	that	DET
futech-532	50	5	gap	gap	NOUN
futech-532	50	6	by	by	ADP
futech-532	50	7	integrating	integrate	VERB
futech-532	50	8	recursive	recursive	ADJ
futech-532	50	9	feature	feature	NOUN
futech-532	50	10	elimination	elimination	NOUN
futech-532	50	11	,	,	PUNCT
futech-532	50	12	mutual	mutual	ADJ
futech-532	50	13	-	-	PUNCT
futech-532	50	14	information	information	NOUN
futech-532	50	15	ranking	ranking	NOUN
futech-532	50	16	,	,	PUNCT
futech-532	50	17	and	and	CCONJ
futech-532	50	18	smote	smote	ADJ
futech-532	50	19	-	-	PUNCT
futech-532	50	20	based	base	VERB
futech-532	50	21	class	class	NOUN
futech-532	50	22	balancing	balancing	NOUN
futech-532	50	23	into	into	ADP
futech-532	50	24	a	a	DET
futech-532	50	25	stacked	stack	VERB
futech-532	50	26	ensemble	ensemble	ADJ
futech-532	50	27	model	model	NOUN
futech-532	50	28	to	to	PART
futech-532	50	29	enhance	enhance	VERB
futech-532	50	30	robustness	robustness	NOUN
futech-532	50	31	and	and	CCONJ
futech-532	50	32	cross	cross	ADJ
futech-532	50	33	-	-	ADJ
futech-532	50	34	dataset	dataset	ADJ
futech-532	50	35	generalization	generalization	NOUN
futech-532	50	36	.	.	PUNCT
futech-532	51	1	addressing	address	VERB
futech-532	51	2	these	these	DET
futech-532	51	3	gaps	gap	NOUN
futech-532	51	4	has	have	VERB
futech-532	51	5	significant	significant	ADJ
futech-532	51	6	implications	implication	NOUN
futech-532	51	7	for	for	ADP
futech-532	51	8	both	both	DET
futech-532	51	9	academic	academic	ADJ
futech-532	51	10	research	research	NOUN
futech-532	51	11	and	and	CCONJ
futech-532	51	12	industrial	industrial	ADJ
futech-532	51	13	software	software	NOUN
futech-532	51	14	development	development	NOUN
futech-532	51	15	.	.	PUNCT
futech-532	52	1	by	by	ADP
futech-532	52	2	introducing	introduce	VERB
futech-532	52	3	innovative	innovative	ADJ
futech-532	52	4	ensemble	ensemble	ADJ
futech-532	52	5	strategies	strategy	NOUN
futech-532	52	6	that	that	PRON
futech-532	52	7	combine	combine	VERB
futech-532	52	8	heterogeneous	heterogeneous	ADJ
futech-532	52	9	classifiers	classifier	NOUN
futech-532	52	10	,	,	PUNCT
futech-532	52	11	deep	deep	ADJ
futech-532	52	12	architectures	architecture	NOUN
futech-532	52	13	,	,	PUNCT
futech-532	52	14	and	and	CCONJ
futech-532	52	15	intelligent	intelligent	ADJ
futech-532	52	16	feature	feature	NOUN
futech-532	52	17	selection	selection	NOUN
futech-532	52	18	,	,	PUNCT
futech-532	52	19	the	the	DET
futech-532	52	20	study	study	NOUN
futech-532	52	21	aims	aim	VERB
futech-532	52	22	to	to	PART
futech-532	52	23	deliver	deliver	VERB
futech-532	52	24	a	a	DET
futech-532	52	25	defect	defect	NOUN
futech-532	52	26	prediction	prediction	NOUN
futech-532	52	27	framework	framework	NOUN
futech-532	52	28	that	that	PRON
futech-532	52	29	is	be	AUX
futech-532	52	30	not	not	PART
futech-532	52	31	only	only	ADV
futech-532	52	32	accurate	accurate	ADJ
futech-532	52	33	but	but	CCONJ
futech-532	52	34	also	also	ADV
futech-532	52	35	scalable	scalable	ADJ
futech-532	52	36	and	and	CCONJ
futech-532	52	37	generalizable	generalizable	ADJ
futech-532	52	38	across	across	ADP
futech-532	52	39	different	different	ADJ
futech-532	52	40	software	software	NOUN
futech-532	52	41	environments	environment	NOUN
futech-532	52	42	.	.	PUNCT
futech-532	53	1	from	from	ADP
futech-532	53	2	a	a	DET
futech-532	53	3	theoretical	theoretical	ADJ
futech-532	53	4	standpoint	standpoint	NOUN
futech-532	53	5	,	,	PUNCT
futech-532	53	6	the	the	DET
futech-532	53	7	study	study	NOUN
futech-532	53	8	advances	advance	VERB
futech-532	53	9	our	our	PRON
futech-532	53	10	knowledge	knowledge	NOUN
futech-532	53	11	about	about	ADP
futech-532	53	12	how	how	SCONJ
futech-532	53	13	ensemble	ensemble	ADJ
futech-532	53	14	diversity	diversity	NOUN
futech-532	53	15	,	,	PUNCT
futech-532	53	16	model	model	NOUN
futech-532	53	17	stacking	stacking	NOUN
futech-532	53	18	,	,	PUNCT
futech-532	53	19	and	and	CCONJ
futech-532	53	20	feature	feature	NOUN
futech-532	53	21	optimization	optimization	NOUN
futech-532	53	22	interact	interact	VERB
futech-532	53	23	to	to	PART
futech-532	53	24	affect	affect	VERB
futech-532	53	25	prediction	prediction	NOUN
futech-532	53	26	outcomes	outcome	NOUN
futech-532	53	27	.	.	PUNCT
futech-532	54	1	it	it	PRON
futech-532	54	2	further	far	ADV
futech-532	54	3	enables	enable	VERB
futech-532	54	4	the	the	DET
futech-532	54	5	combination	combination	NOUN
futech-532	54	6	of	of	ADP
futech-532	54	7	deep	deep	ADJ
futech-532	54	8	learning	learning	NOUN
futech-532	54	9	and	and	CCONJ
futech-532	54	10	ensemble	ensemble	ADJ
futech-532	54	11	pipelines	pipeline	NOUN
futech-532	54	12	,	,	PUNCT
futech-532	54	13	providing	provide	VERB
futech-532	54	14	new	new	ADJ
futech-532	54	15	insights	insight	NOUN
futech-532	54	16	into	into	ADP
futech-532	54	17	hybridizing	hybridize	VERB
futech-532	54	18	architecture	architecture	NOUN
futech-532	54	19	methods	method	NOUN
futech-532	54	20	in	in	ADP
futech-532	54	21	software	software	NOUN
futech-532	54	22	analytics	analytic	NOUN
futech-532	54	23	.	.	PUNCT
futech-532	55	1	in	in	ADP
futech-532	55	2	practice	practice	NOUN
futech-532	55	3	,	,	PUNCT
futech-532	55	4	better	well	ADJ
futech-532	55	5	prediction	prediction	NOUN
futech-532	55	6	accuracy	accuracy	NOUN
futech-532	55	7	will	will	AUX
futech-532	55	8	allow	allow	VERB
futech-532	55	9	developers	developer	NOUN
futech-532	55	10	to	to	PART
futech-532	55	11	focus	focus	VERB
futech-532	55	12	on	on	ADP
futech-532	55	13	inspection	inspection	NOUN
futech-532	55	14	and	and	CCONJ
futech-532	55	15	testing	testing	NOUN
futech-532	55	16	,	,	PUNCT
futech-532	55	17	manage	manage	VERB
futech-532	55	18	technical	technical	ADJ
futech-532	55	19	debt	debt	NOUN
futech-532	55	20	efficiently	efficiently	ADV
futech-532	55	21	,	,	PUNCT
futech-532	55	22	and	and	CCONJ
futech-532	55	23	ensure	ensure	VERB
futech-532	55	24	high	high	ADJ
futech-532	55	25	software	software	NOUN
futech-532	55	26	reliability	reliability	NOUN
futech-532	55	27	and	and	CCONJ
futech-532	55	28	customer	customer	NOUN
futech-532	55	29	satisfaction	satisfaction	NOUN
futech-532	55	30	.	.	PUNCT
futech-532	56	1	the	the	DET
futech-532	56	2	possibility	possibility	NOUN
futech-532	56	3	of	of	ADP
futech-532	56	4	generalization	generalization	NOUN
futech-532	56	5	across	across	ADP
futech-532	56	6	diverse	diverse	ADJ
futech-532	56	7	datasets	dataset	NOUN
futech-532	56	8	enables	enable	VERB
futech-532	56	9	the	the	DET
futech-532	56	10	proposed	propose	VERB
futech-532	56	11	models	model	NOUN
futech-532	56	12	to	to	PART
futech-532	56	13	be	be	AUX
futech-532	56	14	integrated	integrate	VERB
futech-532	56	15	into	into	ADP
futech-532	56	16	automated	automate	VERB
futech-532	56	17	pipelines	pipeline	NOUN
futech-532	56	18	in	in	ADP
futech-532	56	19	various	various	ADJ
futech-532	56	20	software	software	NOUN
futech-532	56	21	projects	project	NOUN
futech-532	56	22	,	,	PUNCT
futech-532	56	23	including	include	VERB
futech-532	56	24	open	open	ADJ
futech-532	56	25	-	-	PUNCT
futech-532	56	26	source	source	NOUN
futech-532	56	27	,	,	PUNCT
futech-532	56	28	enterprise	enterprise	NOUN
futech-532	56	29	,	,	PUNCT
futech-532	56	30	and	and	CCONJ
futech-532	56	31	embedded	embed	VERB
futech-532	56	32	systems	system	NOUN
futech-532	56	33	.	.	PUNCT
futech-532	57	1	it	it	PRON
futech-532	57	2	can	can	AUX
futech-532	57	3	also	also	ADV
futech-532	57	4	be	be	AUX
futech-532	57	5	helpful	helpful	ADJ
futech-532	57	6	to	to	PART
futech-532	57	7	add	add	VERB
futech-532	57	8	explainable	explainable	ADJ
futech-532	57	9	feature	feature	NOUN
futech-532	57	10	selection	selection	NOUN
futech-532	57	11	modules	module	NOUN
futech-532	57	12	to	to	PART
futech-532	57	13	interpret	interpret	VERB
futech-532	57	14	model	model	NOUN
futech-532	57	15	outputs	output	NOUN
futech-532	57	16	and	and	CCONJ
futech-532	57	17	build	build	VERB
futech-532	57	18	greater	great	ADJ
futech-532	57	19	trust	trust	NOUN
futech-532	57	20	and	and	CCONJ
futech-532	57	21	better	well	ADJ
futech-532	57	22	decision	decision	NOUN
futech-532	57	23	-	-	PUNCT
futech-532	57	24	making	making	NOUN
futech-532	57	25	within	within	ADP
futech-532	57	26	engineering	engineering	NOUN
futech-532	57	27	teams	team	NOUN
futech-532	57	28	.	.	PUNCT
futech-532	58	1	this	this	DET
futech-532	58	2	method	method	NOUN
futech-532	58	3	can	can	AUX
futech-532	58	4	be	be	AUX
futech-532	58	5	replicated	replicate	VERB
futech-532	58	6	in	in	ADP
futech-532	58	7	future	future	ADJ
futech-532	58	8	studies	study	NOUN
futech-532	58	9	on	on	ADP
futech-532	58	10	larger	large	ADJ
futech-532	58	11	datasets	dataset	NOUN
futech-532	58	12	and	and	CCONJ
futech-532	58	13	with	with	ADP
futech-532	58	14	deep	deep	ADJ
futech-532	58	15	learning	learning	NOUN
futech-532	58	16	–	–	PUNCT
futech-532	58	17	based	base	VERB
futech-532	58	18	meta	meta	NOUN
futech-532	58	19	-	-	PUNCT
futech-532	58	20	models	model	NOUN
futech-532	58	21	to	to	PART
futech-532	58	22	improve	improve	VERB
futech-532	58	23	adaptability	adaptability	NOUN
futech-532	58	24	,	,	PUNCT
futech-532	58	25	while	while	SCONJ
futech-532	58	26	its	its	PRON
futech-532	58	27	integration	integration	NOUN
futech-532	58	28	of	of	ADP
futech-532	58	29	recursive	recursive	ADJ
futech-532	58	30	feature	feature	NOUN
futech-532	58	31	elimination	elimination	NOUN
futech-532	58	32	and	and	CCONJ
futech-532	58	33	mutual	mutual	ADJ
futech-532	58	34	-	-	PUNCT
futech-532	58	35	information	information	NOUN
futech-532	58	36	feature	feature	NOUN
futech-532	58	37	ranking	rank	VERB
futech-532	58	38	within	within	ADP
futech-532	58	39	an	an	DET
futech-532	58	40	optimized	optimize	VERB
futech-532	58	41	stacking	stacking	NOUN
futech-532	58	42	design	design	NOUN
futech-532	58	43	applied	apply	VERB
futech-532	58	44	to	to	ADP
futech-532	58	45	nasa	nasa	PROPN
futech-532	58	46	repositories	repository	NOUN
futech-532	58	47	for	for	ADP
futech-532	58	48	the	the	DET
futech-532	58	49	first	first	ADJ
futech-532	58	50	time	time	NOUN
futech-532	58	51	demonstrates	demonstrate	VERB
futech-532	58	52	measurable	measurable	ADJ
futech-532	58	53	improvements	improvement	NOUN
futech-532	58	54	in	in	ADP
futech-532	58	55	generalization	generalization	NOUN
futech-532	58	56	and	and	CCONJ
futech-532	58	57	robustness	robustness	NOUN
futech-532	58	58	.	.	PUNCT
futech-532	59	1	1.1	1.1	NUM
futech-532	59	2	research	research	NOUN
futech-532	59	3	objectives	objective	NOUN
futech-532	59	4	•	•	ADP
futech-532	59	5	to	to	PART
futech-532	59	6	assess	assess	VERB
futech-532	59	7	whether	whether	SCONJ
futech-532	59	8	integrating	integrate	VERB
futech-532	59	9	recursive	recursive	ADJ
futech-532	59	10	feature	feature	NOUN
futech-532	59	11	elimination	elimination	NOUN
futech-532	59	12	and	and	CCONJ
futech-532	59	13	mutual	mutual	ADJ
futech-532	59	14	-	-	PUNCT
futech-532	59	15	information	information	NOUN
futech-532	59	16	feature	feature	NOUN
futech-532	59	17	ranking	ranking	NOUN
futech-532	59	18	enhances	enhance	NOUN
futech-532	59	19	generalization	generalization	NOUN
futech-532	59	20	and	and	CCONJ
futech-532	59	21	mitigates	mitigate	NOUN
futech-532	59	22	overfitting	overfitte	VERB
futech-532	59	23	in	in	ADP
futech-532	59	24	software	software	NOUN
futech-532	59	25	defect	defect	NOUN
futech-532	59	26	prediction	prediction	NOUN
futech-532	59	27	models	model	NOUN
futech-532	59	28	.	.	PUNCT
futech-532	60	1	•	•	X
futech-532	60	2	to	to	PART
futech-532	60	3	evaluate	evaluate	VERB
futech-532	60	4	how	how	SCONJ
futech-532	60	5	a	a	DET
futech-532	60	6	heterogeneous	heterogeneous	ADJ
futech-532	60	7	stacking	stacking	NOUN
futech-532	60	8	ensemble	ensemble	ADJ
futech-532	60	9	that	that	PRON
futech-532	60	10	combines	combine	VERB
futech-532	60	11	tree	tree	NOUN
futech-532	60	12	-	-	PUNCT
futech-532	60	13	based	base	VERB
futech-532	60	14	classifiers	classifier	NOUN
futech-532	60	15	with	with	ADP
futech-532	60	16	a	a	DET
futech-532	60	17	logistic	logistic	ADJ
futech-532	60	18	metalearner	metalearner	NOUN
futech-532	60	19	performs	perform	VERB
futech-532	60	20	compared	compare	VERB
futech-532	60	21	with	with	ADP
futech-532	60	22	individual	individual	ADJ
futech-532	60	23	base	base	NOUN
futech-532	60	24	models	model	NOUN
futech-532	60	25	across	across	ADP
futech-532	60	26	nasa	nasa	PROPN
futech-532	60	27	benchmark	benchmark	NOUN
futech-532	60	28	datasets	dataset	NOUN
futech-532	60	29	.	.	PUNCT
futech-532	61	1	•	•	NUM
futech-532	61	2	to	to	PART
futech-532	61	3	examine	examine	VERB
futech-532	61	4	whether	whether	SCONJ
futech-532	61	5	hyperparameter	hyperparameter	NOUN
futech-532	61	6	optimization	optimization	NOUN
futech-532	61	7	and	and	CCONJ
futech-532	61	8	smote	smote	ADJ
futech-532	61	9	-	-	PUNCT
futech-532	61	10	based	base	VERB
futech-532	61	11	class	class	NOUN
futech-532	61	12	balancing	balancing	NOUN
futech-532	61	13	significantly	significantly	ADV
futech-532	61	14	improve	improve	VERB
futech-532	61	15	model	model	NOUN
futech-532	61	16	stability	stability	NOUN
futech-532	61	17	,	,	PUNCT
futech-532	61	18	precision	precision	NOUN
futech-532	61	19	,	,	PUNCT
futech-532	61	20	and	and	CCONJ
futech-532	61	21	recall	recall	VERB
futech-532	61	22	across	across	ADP
futech-532	61	23	varied	varied	ADJ
futech-532	61	24	software	software	NOUN
futech-532	61	25	datasets	dataset	NOUN
futech-532	61	26	.	.	PUNCT
futech-532	62	1	2	2	X
futech-532	62	2	.	.	X
futech-532	62	3	literature	literature	PROPN
futech-532	62	4	review	review	PROPN
futech-532	62	5	pre	pre	ADJ
futech-532	62	6	-	-	ADJ
futech-532	62	7	deployment	deployment	ADJ
futech-532	62	8	detection	detection	NOUN
futech-532	62	9	of	of	ADP
futech-532	62	10	software	software	NOUN
futech-532	62	11	bugs	bug	NOUN
futech-532	62	12	has	have	AUX
futech-532	62	13	been	be	AUX
futech-532	62	14	a	a	DET
futech-532	62	15	major	major	ADJ
futech-532	62	16	goal	goal	NOUN
futech-532	62	17	in	in	ADP
futech-532	62	18	software	software	NOUN
futech-532	62	19	engineering	engineering	NOUN
futech-532	62	20	,	,	PUNCT
futech-532	62	21	and	and	CCONJ
futech-532	62	22	a	a	DET
futech-532	62	23	recent	recent	ADJ
futech-532	62	24	wave	wave	NOUN
futech-532	62	25	of	of	ADP
futech-532	62	26	research	research	NOUN
futech-532	62	27	on	on	ADP
futech-532	62	28	predictive	predictive	ADJ
futech-532	62	29	modeling	modeling	NOUN
futech-532	62	30	has	have	AUX
futech-532	62	31	adopted	adopt	VERB
futech-532	62	32	both	both	DET
futech-532	62	33	machine	machine	NOUN
futech-532	62	34	learning	learning	NOUN
futech-532	62	35	(	(	PUNCT
futech-532	62	36	ml	ml	NOUN
futech-532	62	37	)	)	PUNCT
futech-532	62	38	and	and	CCONJ
futech-532	62	39	ensemble	ensemble	ADJ
futech-532	62	40	-	-	PUNCT
futech-532	62	41	based	base	VERB
futech-532	62	42	methods	method	NOUN
futech-532	62	43	.	.	PUNCT
futech-532	63	1	the	the	DET
futech-532	63	2	development	development	NOUN
futech-532	63	3	of	of	ADP
futech-532	63	4	predictive	predictive	ADJ
futech-532	63	5	models	model	NOUN
futech-532	63	6	has	have	AUX
futech-532	63	7	been	be	AUX
futech-532	63	8	significantly	significantly	ADV
futech-532	63	9	motivated	motivate	VERB
futech-532	63	10	by	by	ADP
futech-532	63	11	access	access	NOUN
futech-532	63	12	to	to	ADP
futech-532	63	13	historical	historical	ADJ
futech-532	63	14	defect	defect	NOUN
futech-532	63	15	data	datum	NOUN
futech-532	63	16	,	,	PUNCT
futech-532	63	17	e.g.	e.g.	ADV
futech-532	63	18	,	,	PUNCT
futech-532	63	19	nasa	nasa	PROPN
futech-532	63	20	,	,	PUNCT
futech-532	63	21	and	and	CCONJ
futech-532	63	22	by	by	ADP
futech-532	63	23	the	the	DET
futech-532	63	24	discovery	discovery	NOUN
futech-532	63	25	that	that	PRON
futech-532	63	26	software	software	NOUN
futech-532	63	27	metrics	metric	NOUN
futech-532	63	28	could	could	AUX
futech-532	63	29	be	be	AUX
futech-532	63	30	successfully	successfully	ADV
futech-532	63	31	applied	apply	VERB
futech-532	63	32	to	to	PART
futech-532	63	33	predict	predict	VERB
futech-532	63	34	fault	fault	NOUN
futech-532	63	35	-	-	PUNCT
futech-532	63	36	proneness	proneness	NOUN
futech-532	63	37	.	.	PUNCT
futech-532	64	1	abbreviations	abbreviation	NOUN
futech-532	64	2	sdp	sdp	NOUN
futech-532	64	3	software	software	NOUN
futech-532	64	4	defect	defect	NOUN
futech-532	64	5	prediction	prediction	NOUN
futech-532	64	6	ml	ml	ADP
futech-532	64	7	machine	machine	NOUN
futech-532	64	8	learning	learning	NOUN
futech-532	64	9	smote	smite	VERB
futech-532	64	10	synthetic	synthetic	ADJ
futech-532	64	11	minority	minority	NOUN
futech-532	64	12	over	over	ADP
futech-532	64	13	-	-	PUNCT
futech-532	64	14	sampling	sample	VERB
futech-532	64	15	technique	technique	NOUN
futech-532	64	16	rfe	rfe	NOUN
futech-532	64	17	recursive	recursive	ADJ
futech-532	64	18	feature	feature	NOUN
futech-532	64	19	elimination	elimination	NOUN
futech-532	64	20	auc	auc	NOUN
futech-532	64	21	-	-	PUNCT
futech-532	64	22	roc	roc	NOUN
futech-532	64	23	area	area	NOUN
futech-532	64	24	under	under	ADP
futech-532	64	25	the	the	DET
futech-532	64	26	receiver	receiver	NOUN
futech-532	64	27	operating	operate	VERB
futech-532	64	28	characteristic	characteristic	ADJ
futech-532	64	29	curve	curve	NOUN
futech-532	64	30	cnn	cnn	PROPN
futech-532	64	31	convolutional	convolutional	ADJ
futech-532	64	32	neural	neural	ADJ
futech-532	64	33	network	network	NOUN
futech-532	64	34	bi	bi	ADJ
futech-532	64	35	-	-	ADJ
futech-532	64	36	lstm	lstm	ADJ
futech-532	64	37	bidirectional	bidirectional	NOUN
futech-532	64	38	long	long	ADJ
futech-532	64	39	short	short	ADJ
futech-532	64	40	-	-	PUNCT
futech-532	64	41	term	term	NOUN
futech-532	64	42	memory	memory	NOUN
futech-532	64	43	gru	gru	NOUN
futech-532	64	44	gated	gate	VERB
futech-532	64	45	recurrent	recurrent	ADJ
futech-532	64	46	unit	unit	NOUN
futech-532	64	47	ann	ann	PROPN
futech-532	64	48	artificial	artificial	ADJ
futech-532	64	49	neural	neural	ADJ
futech-532	64	50	network	network	NOUN
futech-532	64	51	mdp	mdp	NOUN
futech-532	64	52	metrics	metric	NOUN
futech-532	64	53	data	datum	NOUN
futech-532	64	54	program	program	NOUN
futech-532	64	55	(	(	PUNCT
futech-532	64	56	nasa	nasa	PROPN
futech-532	64	57	dataset	dataset	PROPN
futech-532	64	58	source	source	NOUN
futech-532	64	59	)	)	PUNCT
futech-532	64	60	ci	ci	PROPN
futech-532	64	61	/	/	SYM
futech-532	64	62	cd	cd	NOUN
futech-532	64	63	continuous	continuous	ADJ
futech-532	64	64	integration	integration	NOUN
futech-532	64	65	/	/	SYM
futech-532	64	66	continuous	continuous	ADJ
futech-532	64	67	deployment	deployment	NOUN
futech-532	64	68	jm1	jm1	PROPN
futech-532	64	69	/	/	SYM
futech-532	64	70	pc1	pc1	PROPN
futech-532	64	71	/	/	SYM
futech-532	64	72	cm1	cm1	PROPN
futech-532	64	73	/	/	SYM
futech-532	64	74	kc1	kc1	PROPN
futech-532	64	75	nasa	nasa	PROPN
futech-532	64	76	software	software	NOUN
futech-532	64	77	defect	defect	NOUN
futech-532	64	78	datasets	dataset	NOUN
futech-532	64	79	pk	pk	NOUN
futech-532	64	80	.	.	PROPN
futech-532	64	81	tamrakar	tamrakar	PROPN
futech-532	64	82	et	et	PROPN
futech-532	64	83	al	al	PROPN
futech-532	64	84	.	.	PROPN
futech-532	64	85	/future	/future	PUNCT
futech-532	64	86	technology	technology	PROPN
futech-532	64	87	february	february	PROPN
futech-532	64	88	2026|	2026|	NUM
futech-532	64	89	volume	volume	NOUN
futech-532	64	90	05	05	NUM
futech-532	65	1	|	|	ADV
futech-532	65	2	issue	issue	NOUN
futech-532	65	3	01	01	NUM
futech-532	66	1	|	|	ADV
futech-532	66	2	pages	page	VERB
futech-532	66	3	38	38	NUM
futech-532	66	4	-	-	SYM
futech-532	66	5	46	46	NUM
futech-532	66	6	40	40	NUM
futech-532	66	7	software	software	NOUN
futech-532	66	8	defect	defect	NOUN
futech-532	66	9	prediction	prediction	NOUN
futech-532	66	10	has	have	AUX
futech-532	66	11	been	be	AUX
futech-532	66	12	considered	consider	VERB
futech-532	66	13	using	use	VERB
futech-532	66	14	a	a	DET
futech-532	66	15	variety	variety	NOUN
futech-532	66	16	of	of	ADP
futech-532	66	17	machine	machine	NOUN
futech-532	66	18	learning	learning	NOUN
futech-532	66	19	methods	method	NOUN
futech-532	66	20	,	,	PUNCT
futech-532	66	21	including	include	VERB
futech-532	66	22	simple	simple	ADJ
futech-532	66	23	classifiers	classifier	NOUN
futech-532	66	24	to	to	ADP
futech-532	66	25	more	more	ADV
futech-532	66	26	complex	complex	ADJ
futech-532	66	27	ensemble	ensemble	ADJ
futech-532	66	28	and	and	CCONJ
futech-532	66	29	neural	neural	ADJ
futech-532	66	30	networks	network	NOUN
futech-532	66	31	.	.	PUNCT
futech-532	67	1	empirical	empirical	ADJ
futech-532	67	2	investigations	investigation	NOUN
futech-532	67	3	into	into	ADP
futech-532	67	4	methods	method	NOUN
futech-532	67	5	like	like	ADP
futech-532	67	6	support	support	NOUN
futech-532	67	7	vector	vector	NOUN
futech-532	67	8	machines	machine	NOUN
futech-532	67	9	,	,	PUNCT
futech-532	67	10	k	k	X
futech-532	67	11	-	-	PUNCT
futech-532	67	12	nearest	near	ADJ
futech-532	67	13	neighbors	neighbor	NOUN
futech-532	67	14	,	,	PUNCT
futech-532	67	15	and	and	CCONJ
futech-532	67	16	decision	decision	NOUN
futech-532	67	17	trees	tree	NOUN
futech-532	67	18	have	have	AUX
futech-532	67	19	shown	show	VERB
futech-532	67	20	variable	variable	ADJ
futech-532	67	21	performance	performance	NOUN
futech-532	67	22	,	,	PUNCT
futech-532	67	23	largely	largely	ADV
futech-532	67	24	influenced	influence	VERB
futech-532	67	25	by	by	ADP
futech-532	67	26	the	the	DET
futech-532	67	27	nature	nature	NOUN
futech-532	67	28	of	of	ADP
futech-532	67	29	input	input	NOUN
futech-532	67	30	features	feature	NOUN
futech-532	67	31	and	and	CCONJ
futech-532	67	32	class	class	NOUN
futech-532	67	33	imbalance	imbalance	NOUN
futech-532	67	34	within	within	ADP
futech-532	67	35	datasets	dataset	NOUN
futech-532	67	36	.	.	PUNCT
futech-532	68	1	using	use	VERB
futech-532	68	2	nasa	nasa	PROPN
futech-532	68	3	repositories	repository	NOUN
futech-532	68	4	,	,	PUNCT
futech-532	68	5	the	the	DET
futech-532	68	6	study	study	NOUN
futech-532	68	7	conducted	conduct	VERB
futech-532	68	8	a	a	DET
futech-532	68	9	comparative	comparative	ADJ
futech-532	68	10	analysis	analysis	NOUN
futech-532	68	11	across	across	ADP
futech-532	68	12	multiple	multiple	ADJ
futech-532	68	13	ml	ml	NOUN
futech-532	68	14	models	model	NOUN
futech-532	68	15	and	and	CCONJ
futech-532	68	16	highlighted	highlight	VERB
futech-532	68	17	the	the	DET
futech-532	68	18	differential	differential	ADJ
futech-532	68	19	effectiveness	effectiveness	NOUN
futech-532	68	20	of	of	ADP
futech-532	68	21	individual	individual	ADJ
futech-532	68	22	techniques	technique	NOUN
futech-532	68	23	across	across	ADP
futech-532	68	24	distinct	distinct	ADJ
futech-532	68	25	project	project	NOUN
futech-532	68	26	contexts	context	NOUN
futech-532	69	1	[	[	X
futech-532	69	2	11	11	NUM
futech-532	69	3	]	]	PUNCT
futech-532	69	4	.	.	PUNCT
futech-532	70	1	their	their	PRON
futech-532	70	2	findings	finding	NOUN
futech-532	70	3	underscored	underscore	VERB
futech-532	70	4	that	that	SCONJ
futech-532	70	5	no	no	DET
futech-532	70	6	single	single	ADJ
futech-532	70	7	classifier	classifier	NOUN
futech-532	70	8	consistently	consistently	ADV
futech-532	70	9	outperforms	outperform	VERB
futech-532	70	10	others	other	NOUN
futech-532	70	11	,	,	PUNCT
futech-532	70	12	thus	thus	ADV
futech-532	70	13	advocating	advocate	VERB
futech-532	70	14	for	for	ADP
futech-532	70	15	ensemble	ensemble	ADJ
futech-532	70	16	-	-	PUNCT
futech-532	70	17	based	base	VERB
futech-532	70	18	solutions	solution	NOUN
futech-532	70	19	to	to	PART
futech-532	70	20	mitigate	mitigate	VERB
futech-532	70	21	variance	variance	NOUN
futech-532	70	22	and	and	CCONJ
futech-532	70	23	bias	bias	NOUN
futech-532	70	24	.	.	PUNCT
futech-532	71	1	to	to	PART
futech-532	71	2	address	address	VERB
futech-532	71	3	the	the	DET
futech-532	71	4	limitations	limitation	NOUN
futech-532	71	5	of	of	ADP
futech-532	71	6	standalone	standalone	ADJ
futech-532	71	7	classifiers	classifier	NOUN
futech-532	71	8	,	,	PUNCT
futech-532	71	9	ensemble	ensemble	ADJ
futech-532	71	10	learning	learning	NOUN
futech-532	71	11	has	have	AUX
futech-532	71	12	become	become	VERB
futech-532	71	13	a	a	DET
futech-532	71	14	widely	widely	ADV
futech-532	71	15	endorsed	endorse	VERB
futech-532	71	16	strategy	strategy	NOUN
futech-532	71	17	.	.	PUNCT
futech-532	72	1	the	the	DET
futech-532	72	2	study	study	NOUN
futech-532	72	3	was	be	AUX
futech-532	72	4	among	among	ADP
futech-532	72	5	the	the	DET
futech-532	72	6	early	early	ADJ
futech-532	72	7	proponents	proponent	NOUN
futech-532	72	8	of	of	ADP
futech-532	72	9	applying	apply	VERB
futech-532	72	10	ensemble	ensemble	ADJ
futech-532	72	11	techniques	technique	NOUN
futech-532	72	12	on	on	ADP
futech-532	72	13	feature	feature	NOUN
futech-532	72	14	-	-	PUNCT
futech-532	72	15	selected	select	VERB
futech-532	72	16	datasets	dataset	NOUN
futech-532	72	17	,	,	PUNCT
futech-532	72	18	demonstrating	demonstrate	VERB
futech-532	72	19	marked	mark	VERB
futech-532	72	20	improvements	improvement	NOUN
futech-532	72	21	in	in	ADP
futech-532	72	22	prediction	prediction	NOUN
futech-532	72	23	accuracy	accuracy	NOUN
futech-532	72	24	and	and	CCONJ
futech-532	72	25	robustness	robustness	NOUN
futech-532	72	26	when	when	SCONJ
futech-532	72	27	ensembles	ensemble	NOUN
futech-532	72	28	were	be	AUX
futech-532	72	29	trained	train	VERB
futech-532	72	30	on	on	ADP
futech-532	72	31	reduced	reduce	VERB
futech-532	72	32	,	,	PUNCT
futech-532	72	33	informative	informative	ADJ
futech-532	72	34	feature	feature	NOUN
futech-532	72	35	subsets	subset	NOUN
futech-532	72	36	[	[	X
futech-532	72	37	12	12	NUM
futech-532	72	38	]	]	PUNCT
futech-532	72	39	.	.	PUNCT
futech-532	73	1	further	far	ADV
futech-532	73	2	validating	validate	VERB
futech-532	73	3	this	this	DET
futech-532	73	4	approach	approach	NOUN
futech-532	73	5	,	,	PUNCT
futech-532	73	6	another	another	DET
futech-532	73	7	study	study	NOUN
futech-532	73	8	proposed	propose	VERB
futech-532	73	9	an	an	DET
futech-532	73	10	ensemble	ensemble	ADJ
futech-532	73	11	classification	classification	NOUN
futech-532	73	12	framework	framework	NOUN
futech-532	73	13	specifically	specifically	ADV
futech-532	73	14	integrated	integrate	VERB
futech-532	73	15	with	with	ADP
futech-532	73	16	feature	feature	NOUN
futech-532	73	17	selection	selection	NOUN
futech-532	73	18	methods	method	NOUN
futech-532	73	19	.	.	PUNCT
futech-532	74	1	the	the	DET
futech-532	74	2	model	model	NOUN
futech-532	74	3	was	be	AUX
futech-532	74	4	able	able	ADJ
futech-532	74	5	to	to	PART
futech-532	74	6	not	not	PART
futech-532	74	7	only	only	ADV
futech-532	74	8	increase	increase	VERB
futech-532	74	9	the	the	DET
futech-532	74	10	rate	rate	NOUN
futech-532	74	11	of	of	ADP
futech-532	74	12	defect	defect	ADJ
futech-532	74	13	detection	detection	NOUN
futech-532	74	14	but	but	CCONJ
futech-532	74	15	also	also	ADV
futech-532	74	16	manage	manage	VERB
futech-532	74	17	to	to	PART
futech-532	74	18	reduce	reduce	VERB
futech-532	74	19	the	the	DET
futech-532	74	20	dimensionality	dimensionality	NOUN
futech-532	74	21	,	,	PUNCT
futech-532	74	22	thereby	thereby	ADV
futech-532	74	23	decreasing	decrease	VERB
futech-532	74	24	the	the	DET
futech-532	74	25	computational	computational	ADJ
futech-532	74	26	overhead	overhead	NOUN
futech-532	74	27	without	without	ADP
futech-532	74	28	affecting	affect	VERB
futech-532	74	29	the	the	DET
futech-532	74	30	accuracy	accuracy	NOUN
futech-532	75	1	[	[	X
futech-532	75	2	11	11	NUM
futech-532	75	3	]	]	PUNCT
futech-532	75	4	.	.	PUNCT
futech-532	76	1	hyperparameter	hyperparameter	NOUN
futech-532	76	2	optimization	optimization	NOUN
futech-532	76	3	is	be	AUX
futech-532	76	4	a	a	DET
futech-532	76	5	major	major	ADJ
futech-532	76	6	determinant	determinant	NOUN
futech-532	76	7	of	of	ADP
futech-532	76	8	the	the	DET
futech-532	76	9	success	success	NOUN
futech-532	76	10	of	of	ADP
futech-532	76	11	predictive	predictive	ADJ
futech-532	76	12	frameworks	framework	NOUN
futech-532	76	13	.	.	PUNCT
futech-532	77	1	one	one	NUM
futech-532	77	2	of	of	ADP
futech-532	77	3	the	the	DET
futech-532	77	4	studies	study	NOUN
futech-532	77	5	has	have	AUX
futech-532	77	6	empirically	empirically	ADV
futech-532	77	7	evaluated	evaluate	VERB
futech-532	77	8	optimization	optimization	NOUN
futech-532	77	9	methods	method	NOUN
futech-532	77	10	of	of	ADP
futech-532	77	11	predicting	predict	VERB
futech-532	77	12	the	the	DET
futech-532	77	13	number	number	NOUN
futech-532	77	14	of	of	ADP
futech-532	77	15	defects	defect	NOUN
futech-532	77	16	in	in	ADP
futech-532	77	17	software	software	NOUN
futech-532	77	18	and	and	CCONJ
futech-532	77	19	concluded	conclude	VERB
futech-532	77	20	that	that	SCONJ
futech-532	77	21	the	the	DET
futech-532	77	22	benefit	benefit	NOUN
futech-532	77	23	of	of	ADP
futech-532	77	24	tuning	tune	VERB
futech-532	77	25	hyperparameters	hyperparameter	NOUN
futech-532	77	26	was	be	AUX
futech-532	77	27	a	a	DET
futech-532	77	28	significant	significant	ADJ
futech-532	77	29	ingredient	ingredient	NOUN
futech-532	77	30	in	in	ADP
futech-532	77	31	software	software	NOUN
futech-532	77	32	model	model	NOUN
futech-532	77	33	accuracy	accuracy	NOUN
futech-532	77	34	,	,	PUNCT
futech-532	77	35	especially	especially	ADV
futech-532	77	36	in	in	ADP
futech-532	77	37	neural	neural	ADJ
futech-532	77	38	and	and	CCONJ
futech-532	77	39	ensemble	ensemble	ADJ
futech-532	77	40	models	model	NOUN
futech-532	77	41	[	[	X
futech-532	77	42	13	13	NUM
futech-532	77	43	]	]	PUNCT
futech-532	77	44	.	.	PUNCT
futech-532	78	1	the	the	DET
futech-532	78	2	paper	paper	NOUN
futech-532	78	3	also	also	ADV
futech-532	78	4	highlighted	highlight	VERB
futech-532	78	5	the	the	DET
futech-532	78	6	importance	importance	NOUN
futech-532	78	7	of	of	ADP
futech-532	78	8	configuration	configuration	NOUN
futech-532	78	9	strategies	strategy	NOUN
futech-532	78	10	in	in	ADP
futech-532	78	11	order	order	NOUN
futech-532	78	12	to	to	PART
futech-532	78	13	achieve	achieve	VERB
futech-532	78	14	the	the	DET
futech-532	78	15	predictive	predictive	ADJ
futech-532	78	16	potential	potential	NOUN
futech-532	78	17	of	of	ADP
futech-532	78	18	base	base	NOUN
futech-532	78	19	learners	learner	NOUN
futech-532	78	20	as	as	ADV
futech-532	78	21	well	well	ADV
futech-532	78	22	as	as	ADP
futech-532	78	23	ensemble	ensemble	ADJ
futech-532	78	24	meta	meta	NOUN
futech-532	78	25	-	-	PUNCT
futech-532	78	26	learners	learner	NOUN
futech-532	78	27	.	.	PUNCT
futech-532	79	1	simultaneously	simultaneously	ADV
futech-532	79	2	,	,	PUNCT
futech-532	79	3	deep	deep	ADJ
futech-532	79	4	learning	learning	NOUN
futech-532	79	5	has	have	AUX
futech-532	79	6	provided	provide	VERB
futech-532	79	7	possibilities	possibility	NOUN
futech-532	79	8	to	to	PART
futech-532	79	9	extract	extract	VERB
futech-532	79	10	complex	complex	ADJ
futech-532	79	11	patterns	pattern	NOUN
futech-532	79	12	in	in	ADP
futech-532	79	13	software	software	NOUN
futech-532	79	14	metrics	metric	NOUN
futech-532	79	15	.	.	PUNCT
futech-532	80	1	one	one	NUM
futech-532	80	2	of	of	ADP
futech-532	80	3	the	the	DET
futech-532	80	4	studies	study	NOUN
futech-532	80	5	has	have	AUX
futech-532	80	6	proposed	propose	VERB
futech-532	80	7	a	a	DET
futech-532	80	8	hybrid	hybrid	ADJ
futech-532	80	9	deep	deep	ADJ
futech-532	80	10	neural	neural	ADJ
futech-532	80	11	architecture	architecture	NOUN
futech-532	80	12	in	in	ADP
futech-532	80	13	the	the	DET
futech-532	80	14	form	form	NOUN
futech-532	80	15	of	of	ADP
futech-532	80	16	gated	gate	VERB
futech-532	80	17	recurrent	recurrent	ADJ
futech-532	80	18	units	unit	NOUN
futech-532	80	19	(	(	PUNCT
futech-532	80	20	gru	gru	NOUN
futech-532	80	21	)	)	PUNCT
futech-532	80	22	coupled	couple	VERB
futech-532	80	23	with	with	ADP
futech-532	80	24	convolutional	convolutional	ADJ
futech-532	80	25	neural	neural	ADJ
futech-532	80	26	networks	network	NOUN
futech-532	80	27	(	(	PUNCT
futech-532	80	28	cnn	cnn	PROPN
futech-532	80	29	)	)	PUNCT
futech-532	80	30	and	and	CCONJ
futech-532	80	31	resampling	resample	VERB
futech-532	80	32	with	with	ADP
futech-532	80	33	smote	smote	NOUN
futech-532	80	34	-	-	PUNCT
futech-532	80	35	tomek	tomek	PROPN
futech-532	80	36	that	that	PRON
futech-532	80	37	addresses	address	VERB
futech-532	80	38	the	the	DET
futech-532	80	39	issue	issue	NOUN
futech-532	80	40	of	of	ADP
futech-532	80	41	data	datum	NOUN
futech-532	80	42	imbalance	imbalance	NOUN
futech-532	80	43	[	[	X
futech-532	80	44	14	14	NUM
futech-532	80	45	]	]	PUNCT
futech-532	80	46	.	.	PUNCT
futech-532	81	1	the	the	DET
futech-532	81	2	model	model	NOUN
futech-532	81	3	showed	show	VERB
futech-532	81	4	better	well	ADJ
futech-532	81	5	results	result	NOUN
futech-532	81	6	on	on	ADP
futech-532	81	7	imbalanced	imbalanced	ADJ
futech-532	81	8	data	datum	NOUN
futech-532	81	9	,	,	PUNCT
futech-532	81	10	suggesting	suggest	VERB
futech-532	81	11	the	the	DET
futech-532	81	12	potential	potential	NOUN
futech-532	81	13	of	of	ADP
futech-532	81	14	combining	combine	VERB
futech-532	81	15	deep	deep	ADJ
futech-532	81	16	and	and	CCONJ
futech-532	81	17	sequential	sequential	ADJ
futech-532	81	18	learning	learning	NOUN
futech-532	81	19	with	with	ADP
futech-532	81	20	data	data	NOUN
futech-532	81	21	-	-	PUNCT
futech-532	81	22	level	level	NOUN
futech-532	81	23	interventions	intervention	NOUN
futech-532	81	24	[	[	X
futech-532	81	25	15	15	NUM
futech-532	81	26	]	]	PUNCT
futech-532	81	27	.	.	PUNCT
futech-532	82	1	nevertheless	nevertheless	ADV
futech-532	82	2	,	,	PUNCT
futech-532	82	3	such	such	ADJ
futech-532	82	4	models	model	NOUN
futech-532	82	5	require	require	VERB
futech-532	82	6	more	more	ADV
futech-532	82	7	computational	computational	ADJ
futech-532	82	8	resources	resource	NOUN
futech-532	82	9	,	,	PUNCT
futech-532	82	10	which	which	PRON
futech-532	82	11	can	can	AUX
futech-532	82	12	be	be	AUX
futech-532	82	13	enhanced	enhance	VERB
futech-532	82	14	with	with	ADP
futech-532	82	15	the	the	DET
futech-532	82	16	help	help	NOUN
futech-532	82	17	of	of	ADP
futech-532	82	18	ensemble	ensemble	ADJ
futech-532	82	19	pruning	pruning	NOUN
futech-532	82	20	or	or	CCONJ
futech-532	82	21	stacking	stacking	NOUN
futech-532	82	22	.	.	PUNCT
futech-532	83	1	recent	recent	ADJ
futech-532	83	2	systematic	systematic	ADJ
futech-532	83	3	reviews	review	NOUN
futech-532	83	4	have	have	AUX
futech-532	83	5	summarized	summarize	VERB
futech-532	83	6	the	the	DET
futech-532	83	7	results	result	NOUN
futech-532	83	8	of	of	ADP
futech-532	83	9	different	different	ADJ
futech-532	83	10	neural	neural	ADJ
futech-532	83	11	structures	structure	NOUN
futech-532	83	12	.	.	PUNCT
futech-532	84	1	one	one	NUM
futech-532	84	2	study	study	NOUN
futech-532	84	3	has	have	AUX
futech-532	84	4	reported	report	VERB
futech-532	84	5	an	an	DET
futech-532	84	6	indepth	indepth	ADJ
futech-532	84	7	examination	examination	NOUN
futech-532	84	8	into	into	ADP
futech-532	84	9	the	the	DET
futech-532	84	10	techniques	technique	NOUN
futech-532	84	11	of	of	ADP
futech-532	84	12	defect	defect	ADJ
futech-532	84	13	prediction	prediction	NOUN
futech-532	84	14	that	that	PRON
futech-532	84	15	have	have	AUX
futech-532	84	16	been	be	AUX
futech-532	84	17	developed	develop	VERB
futech-532	84	18	by	by	ADP
futech-532	84	19	artificial	artificial	ADJ
futech-532	84	20	neural	neural	ADJ
futech-532	84	21	networks	network	NOUN
futech-532	84	22	(	(	PUNCT
futech-532	84	23	ann	ann	PROPN
futech-532	84	24	)	)	PUNCT
futech-532	84	25	,	,	PUNCT
futech-532	84	26	noting	note	VERB
futech-532	84	27	that	that	SCONJ
futech-532	84	28	ann	ann	PROPN
futech-532	84	29	in	in	ADP
futech-532	84	30	their	their	PRON
futech-532	84	31	pure	pure	ADJ
futech-532	84	32	form	form	NOUN
futech-532	84	33	may	may	AUX
futech-532	84	34	be	be	AUX
futech-532	84	35	underperforming	underperform	VERB
futech-532	84	36	without	without	ADP
futech-532	84	37	prior	prior	ADJ
futech-532	84	38	processing	processing	NOUN
futech-532	84	39	involved	involve	VERB
futech-532	84	40	in	in	ADP
futech-532	84	41	the	the	DET
futech-532	84	42	prediction	prediction	NOUN
futech-532	84	43	process	process	NOUN
futech-532	84	44	,	,	PUNCT
futech-532	84	45	which	which	PRON
futech-532	84	46	could	could	AUX
futech-532	84	47	be	be	AUX
futech-532	84	48	in	in	ADP
futech-532	84	49	the	the	DET
futech-532	84	50	form	form	NOUN
futech-532	84	51	of	of	ADP
futech-532	84	52	feature	feature	NOUN
futech-532	84	53	selection	selection	NOUN
futech-532	84	54	or	or	CCONJ
futech-532	84	55	ensemble	ensemble	ADJ
futech-532	84	56	enhancement	enhancement	NOUN
futech-532	84	57	[	[	X
futech-532	84	58	16	16	NUM
futech-532	84	59	]	]	PUNCT
futech-532	84	60	.	.	PUNCT
futech-532	85	1	their	their	PRON
futech-532	85	2	results	result	NOUN
futech-532	85	3	suggest	suggest	VERB
futech-532	85	4	having	have	VERB
futech-532	85	5	hybrid	hybrid	ADJ
futech-532	85	6	models	model	NOUN
futech-532	85	7	that	that	PRON
futech-532	85	8	integrate	integrate	VERB
futech-532	85	9	the	the	DET
futech-532	85	10	power	power	NOUN
futech-532	85	11	of	of	ADP
futech-532	85	12	various	various	ADJ
futech-532	85	13	algorithms	algorithm	NOUN
futech-532	85	14	in	in	ADP
futech-532	85	15	ensemble	ensemble	ADJ
futech-532	85	16	structures	structure	NOUN
futech-532	85	17	to	to	PART
futech-532	85	18	obtain	obtain	VERB
futech-532	85	19	scalability	scalability	NOUN
futech-532	85	20	and	and	CCONJ
futech-532	85	21	generalization	generalization	NOUN
futech-532	85	22	.	.	PUNCT
futech-532	86	1	feature	feature	NOUN
futech-532	86	2	selection	selection	NOUN
futech-532	86	3	remains	remain	VERB
futech-532	86	4	central	central	ADJ
futech-532	86	5	to	to	ADP
futech-532	86	6	building	build	VERB
futech-532	86	7	effective	effective	ADJ
futech-532	86	8	sdp	sdp	NOUN
futech-532	86	9	models	model	NOUN
futech-532	86	10	.	.	PUNCT
futech-532	87	1	a	a	DET
futech-532	87	2	study	study	NOUN
futech-532	87	3	demonstrated	demonstrate	VERB
futech-532	87	4	that	that	SCONJ
futech-532	87	5	preprocessing	preprocesse	VERB
futech-532	87	6	data	datum	NOUN
futech-532	87	7	through	through	ADP
futech-532	87	8	correlation	correlation	NOUN
futech-532	87	9	analysis	analysis	NOUN
futech-532	87	10	and	and	CCONJ
futech-532	87	11	removing	remove	VERB
futech-532	87	12	irrelevant	irrelevant	ADJ
futech-532	87	13	metrics	metric	NOUN
futech-532	87	14	significantly	significantly	ADV
futech-532	87	15	improved	improve	VERB
futech-532	87	16	model	model	NOUN
futech-532	87	17	performance	performance	NOUN
futech-532	87	18	.	.	PUNCT
futech-532	88	1	their	their	PRON
futech-532	88	2	sustainability	sustainability	NOUN
futech-532	88	3	-	-	PUNCT
futech-532	88	4	focused	focus	VERB
futech-532	88	5	research	research	NOUN
futech-532	88	6	applied	apply	VERB
futech-532	88	7	ml	ml	NOUN
futech-532	88	8	techniques	technique	NOUN
futech-532	88	9	in	in	ADP
futech-532	88	10	software	software	NOUN
futech-532	88	11	lifecycle	lifecycle	NOUN
futech-532	88	12	management	management	NOUN
futech-532	88	13	,	,	PUNCT
futech-532	88	14	confirming	confirm	VERB
futech-532	88	15	that	that	SCONJ
futech-532	88	16	data	data	NOUN
futech-532	88	17	preparation	preparation	NOUN
futech-532	88	18	and	and	CCONJ
futech-532	88	19	feature	feature	NOUN
futech-532	88	20	engineering	engineering	NOUN
futech-532	88	21	are	be	AUX
futech-532	88	22	decisive	decisive	ADJ
futech-532	88	23	factors	factor	NOUN
futech-532	88	24	in	in	ADP
futech-532	88	25	predictive	predictive	ADJ
futech-532	88	26	success	success	NOUN
futech-532	88	27	[	[	X
futech-532	88	28	13	13	NUM
futech-532	88	29	]	]	PUNCT
futech-532	88	30	.	.	PUNCT
futech-532	89	1	their	their	PRON
futech-532	89	2	conclusions	conclusion	NOUN
futech-532	89	3	align	align	VERB
futech-532	89	4	with	with	ADP
futech-532	89	5	earlier	early	ADJ
futech-532	89	6	studies	study	NOUN
futech-532	89	7	,	,	PUNCT
futech-532	89	8	which	which	PRON
futech-532	89	9	argue	argue	VERB
futech-532	89	10	that	that	SCONJ
futech-532	89	11	model	model	NOUN
futech-532	89	12	performance	performance	NOUN
futech-532	89	13	depends	depend	VERB
futech-532	89	14	not	not	PART
futech-532	89	15	only	only	ADV
futech-532	89	16	on	on	ADP
futech-532	89	17	the	the	DET
futech-532	89	18	learning	learning	NOUN
futech-532	89	19	algorithm	algorithm	NOUN
futech-532	89	20	but	but	CCONJ
futech-532	89	21	also	also	ADV
futech-532	89	22	on	on	ADP
futech-532	89	23	the	the	DET
futech-532	89	24	quality	quality	NOUN
futech-532	89	25	and	and	CCONJ
futech-532	89	26	relevance	relevance	NOUN
futech-532	89	27	of	of	ADP
futech-532	89	28	the	the	DET
futech-532	89	29	input	input	NOUN
futech-532	89	30	data	datum	NOUN
futech-532	89	31	.	.	PUNCT
futech-532	90	1	ensemble	ensemble	ADJ
futech-532	90	2	-	-	PUNCT
futech-532	90	3	based	base	VERB
futech-532	90	4	sdp	sdp	NOUN
futech-532	90	5	is	be	AUX
futech-532	90	6	still	still	ADV
futech-532	90	7	in	in	ADP
futech-532	90	8	the	the	DET
futech-532	90	9	process	process	NOUN
futech-532	90	10	of	of	ADP
futech-532	90	11	improvement	improvement	NOUN
futech-532	90	12	as	as	SCONJ
futech-532	90	13	more	more	ADV
futech-532	90	14	intelligent	intelligent	ADJ
futech-532	90	15	architectures	architecture	NOUN
futech-532	90	16	are	be	AUX
futech-532	90	17	being	be	AUX
futech-532	90	18	invented	invent	VERB
futech-532	90	19	.	.	PUNCT
futech-532	91	1	in	in	ADP
futech-532	91	2	one	one	NUM
futech-532	91	3	of	of	ADP
futech-532	91	4	the	the	DET
futech-532	91	5	papers	paper	NOUN
futech-532	91	6	,	,	PUNCT
futech-532	91	7	an	an	DET
futech-532	91	8	ensemble	ensemble	ADJ
futech-532	91	9	model	model	NOUN
futech-532	91	10	,	,	PUNCT
futech-532	91	11	which	which	PRON
futech-532	91	12	combines	combine	VERB
futech-532	91	13	a	a	DET
futech-532	91	14	few	few	ADJ
futech-532	91	15	learners	learner	NOUN
futech-532	91	16	such	such	ADJ
futech-532	91	17	as	as	ADP
futech-532	91	18	adaboost	adaboost	ADJ
futech-532	91	19	,	,	PUNCT
futech-532	91	20	random	random	ADJ
futech-532	91	21	forest	forest	NOUN
futech-532	91	22	,	,	PUNCT
futech-532	91	23	and	and	CCONJ
futech-532	91	24	gradient	gradient	NOUN
futech-532	91	25	boosting	boosting	NOUN
futech-532	91	26	,	,	PUNCT
futech-532	91	27	each	each	PRON
futech-532	91	28	of	of	ADP
futech-532	91	29	which	which	PRON
futech-532	91	30	was	be	AUX
futech-532	91	31	set	set	VERB
futech-532	91	32	with	with	ADP
futech-532	91	33	various	various	ADJ
futech-532	91	34	parameters	parameter	NOUN
futech-532	91	35	,	,	PUNCT
futech-532	91	36	was	be	AUX
futech-532	91	37	proposed	propose	VERB
futech-532	91	38	.	.	PUNCT
futech-532	92	1	individual	individual	ADJ
futech-532	92	2	classifiers	classifier	NOUN
futech-532	92	3	had	have	VERB
futech-532	92	4	a	a	DET
futech-532	92	5	poorer	poor	ADJ
futech-532	92	6	model	model	NOUN
futech-532	92	7	than	than	ADP
futech-532	92	8	theirs	theirs	PRON
futech-532	92	9	(	(	PUNCT
futech-532	92	10	their	their	PRON
futech-532	92	11	model	model	NOUN
futech-532	92	12	had	have	VERB
futech-532	92	13	higher	high	ADJ
futech-532	92	14	precision	precision	NOUN
futech-532	92	15	and	and	CCONJ
futech-532	92	16	recall	recall	NOUN
futech-532	92	17	values	value	NOUN
futech-532	92	18	)	)	PUNCT
futech-532	92	19	as	as	SCONJ
futech-532	92	20	they	they	PRON
futech-532	92	21	performed	perform	VERB
futech-532	92	22	better	well	ADV
futech-532	92	23	when	when	SCONJ
futech-532	92	24	tested	test	VERB
futech-532	92	25	on	on	ADP
futech-532	92	26	large	large	ADJ
futech-532	92	27	-	-	PUNCT
futech-532	92	28	scale	scale	NOUN
futech-532	92	29	and	and	CCONJ
futech-532	92	30	real	real	ADJ
futech-532	92	31	-	-	PUNCT
futech-532	92	32	life	life	NOUN
futech-532	92	33	datasets	dataset	NOUN
futech-532	92	34	[	[	X
futech-532	92	35	17	17	NUM
futech-532	92	36	]	]	PUNCT
futech-532	92	37	.	.	PUNCT
futech-532	93	1	another	another	DET
futech-532	93	2	article	article	NOUN
futech-532	93	3	proposed	propose	VERB
futech-532	93	4	a	a	DET
futech-532	93	5	machine	machine	NOUN
futech-532	93	6	learning	learn	VERB
futech-532	93	7	model	model	NOUN
futech-532	93	8	,	,	PUNCT
futech-532	93	9	which	which	PRON
futech-532	93	10	comprises	comprise	VERB
futech-532	93	11	both	both	DET
futech-532	93	12	sophisticated	sophisticated	ADJ
futech-532	93	13	methods	method	NOUN
futech-532	93	14	of	of	ADP
futech-532	93	15	ensemble	ensemble	ADJ
futech-532	93	16	and	and	CCONJ
futech-532	93	17	data	datum	NOUN
futech-532	93	18	balancing	balancing	NOUN
futech-532	93	19	and	and	CCONJ
futech-532	93	20	metric	metric	ADJ
futech-532	93	21	selection	selection	NOUN
futech-532	93	22	.	.	PUNCT
futech-532	94	1	their	their	PRON
futech-532	94	2	approach	approach	NOUN
futech-532	94	3	gave	give	VERB
futech-532	94	4	significant	significant	ADJ
futech-532	94	5	enhancements	enhancement	NOUN
futech-532	94	6	in	in	ADP
futech-532	94	7	the	the	DET
futech-532	94	8	detection	detection	NOUN
futech-532	94	9	rates	rate	NOUN
futech-532	94	10	,	,	PUNCT
futech-532	94	11	especially	especially	ADV
futech-532	94	12	on	on	ADP
futech-532	94	13	the	the	DET
futech-532	94	14	imbalanced	imbalanced	ADJ
futech-532	94	15	datasets	dataset	NOUN
futech-532	94	16	that	that	PRON
futech-532	94	17	are	be	AUX
futech-532	94	18	highly	highly	ADV
futech-532	94	19	imbalanced	imbalanced	ADJ
futech-532	94	20	[	[	X
futech-532	94	21	18	18	NUM
futech-532	94	22	]	]	PUNCT
futech-532	94	23	.	.	PUNCT
futech-532	95	1	the	the	DET
futech-532	95	2	trend	trend	NOUN
futech-532	95	3	of	of	ADP
futech-532	95	4	combining	combine	VERB
futech-532	95	5	the	the	DET
futech-532	95	6	intelligence	intelligence	NOUN
futech-532	95	7	of	of	ADP
futech-532	95	8	ensembles	ensemble	NOUN
futech-532	95	9	,	,	PUNCT
futech-532	95	10	data	datum	NOUN
futech-532	95	11	-	-	PUNCT
futech-532	95	12	based	base	VERB
futech-532	95	13	optimization	optimization	NOUN
futech-532	95	14	,	,	PUNCT
futech-532	95	15	and	and	CCONJ
futech-532	95	16	feature	feature	NOUN
futech-532	95	17	-	-	PUNCT
futech-532	95	18	centric	centric	ADJ
futech-532	95	19	approaches	approach	NOUN
futech-532	95	20	is	be	AUX
futech-532	95	21	moving	move	VERB
futech-532	95	22	in	in	ADP
futech-532	95	23	the	the	DET
futech-532	95	24	same	same	ADJ
futech-532	95	25	direction	direction	NOUN
futech-532	95	26	,	,	PUNCT
futech-532	95	27	and	and	CCONJ
futech-532	95	28	they	they	PRON
futech-532	95	29	are	be	AUX
futech-532	95	30	the	the	DET
futech-532	95	31	most	most	ADV
futech-532	95	32	promising	promising	ADJ
futech-532	95	33	way	way	NOUN
futech-532	95	34	to	to	PART
futech-532	95	35	predict	predict	VERB
futech-532	95	36	software	software	NOUN
futech-532	95	37	defects	defect	NOUN
futech-532	95	38	.	.	PUNCT
futech-532	96	1	smartly	smartly	ADV
futech-532	96	2	constructed	construct	VERB
futech-532	96	3	ensemble	ensemble	ADJ
futech-532	96	4	models	model	NOUN
futech-532	96	5	that	that	PRON
futech-532	96	6	learn	learn	VERB
futech-532	96	7	to	to	PART
futech-532	96	8	interpolate	interpolate	VERB
futech-532	96	9	between	between	ADP
futech-532	96	10	learning	learn	VERB
futech-532	96	11	paradigms	paradigm	NOUN
futech-532	96	12	and	and	CCONJ
futech-532	96	13	incorporate	incorporate	VERB
futech-532	96	14	strict	strict	ADJ
futech-532	96	15	feature	feature	NOUN
futech-532	96	16	selection	selection	NOUN
futech-532	96	17	and	and	CCONJ
futech-532	96	18	hyperparameter	hyperparameter	NOUN
futech-532	96	19	optimization	optimization	NOUN
futech-532	96	20	are	be	AUX
futech-532	96	21	always	always	ADV
futech-532	96	22	better	well	ADJ
futech-532	96	23	than	than	ADP
futech-532	96	24	more	more	ADV
futech-532	96	25	traditional	traditional	ADJ
futech-532	96	26	ones	one	NOUN
futech-532	96	27	[	[	X
futech-532	96	28	19	19	NUM
futech-532	96	29	]	]	PUNCT
futech-532	96	30	.	.	PUNCT
futech-532	97	1	the	the	DET
futech-532	97	2	synergy	synergy	NOUN
futech-532	97	3	of	of	ADP
futech-532	97	4	deep	deep	ADJ
futech-532	97	5	learning	learning	NOUN
futech-532	97	6	and	and	CCONJ
futech-532	97	7	ensemble	ensemble	ADJ
futech-532	97	8	design	design	NOUN
futech-532	97	9	is	be	AUX
futech-532	97	10	a	a	DET
futech-532	97	11	promising	promising	ADJ
futech-532	97	12	emerging	emerge	VERB
futech-532	97	13	field	field	NOUN
futech-532	97	14	that	that	PRON
futech-532	97	15	significantly	significantly	ADV
futech-532	97	16	enhances	enhance	VERB
futech-532	97	17	prediction	prediction	NOUN
futech-532	97	18	accuracy	accuracy	NOUN
futech-532	97	19	,	,	PUNCT
futech-532	97	20	especially	especially	ADV
futech-532	97	21	in	in	ADP
futech-532	97	22	complex	complex	ADJ
futech-532	97	23	and	and	CCONJ
futech-532	97	24	heterogeneous	heterogeneous	ADJ
futech-532	97	25	software	software	NOUN
futech-532	97	26	environments	environment	NOUN
futech-532	97	27	.	.	PUNCT
futech-532	98	1	3	3	X
futech-532	98	2	.	.	X
futech-532	98	3	methodology	methodology	NOUN
futech-532	98	4	3.1	3.1	NUM
futech-532	98	5	research	research	NOUN
futech-532	98	6	design	design	NOUN
futech-532	98	7	a	a	DET
futech-532	98	8	quantitative	quantitative	ADJ
futech-532	98	9	research	research	NOUN
futech-532	98	10	design	design	NOUN
futech-532	98	11	was	be	AUX
futech-532	98	12	adopted	adopt	VERB
futech-532	98	13	to	to	PART
futech-532	98	14	ensure	ensure	VERB
futech-532	98	15	that	that	SCONJ
futech-532	98	16	the	the	DET
futech-532	98	17	competence	competence	NOUN
futech-532	98	18	of	of	ADP
futech-532	98	19	an	an	DET
futech-532	98	20	ensemble	ensemble	ADJ
futech-532	98	21	learning	learning	NOUN
futech-532	98	22	framework	framework	NOUN
futech-532	98	23	could	could	AUX
futech-532	98	24	be	be	AUX
futech-532	98	25	built	build	VERB
futech-532	98	26	and	and	CCONJ
futech-532	98	27	experimented	experiment	VERB
futech-532	98	28	with	with	ADP
futech-532	98	29	in	in	ADP
futech-532	98	30	the	the	DET
futech-532	98	31	software	software	NOUN
futech-532	98	32	defect	defect	NOUN
futech-532	98	33	prediction	prediction	NOUN
futech-532	98	34	.	.	PUNCT
futech-532	99	1	the	the	DET
futech-532	99	2	study	study	NOUN
futech-532	99	3	targeted	target	VERB
futech-532	99	4	the	the	DET
futech-532	99	5	empirical	empirical	ADJ
futech-532	99	6	analysis	analysis	NOUN
futech-532	99	7	of	of	ADP
futech-532	99	8	machine	machine	NOUN
futech-532	99	9	learning	learn	VERB
futech-532	99	10	classifiers	classifier	NOUN
futech-532	99	11	and	and	CCONJ
futech-532	99	12	ensemble	ensemble	ADJ
futech-532	99	13	formats	format	NOUN
futech-532	99	14	,	,	PUNCT
futech-532	99	15	and	and	CCONJ
futech-532	99	16	feature	feature	NOUN
futech-532	99	17	selection	selection	NOUN
futech-532	99	18	techniques	technique	NOUN
futech-532	99	19	on	on	ADP
futech-532	99	20	publicly	publicly	ADV
futech-532	99	21	available	available	ADJ
futech-532	99	22	defect	defect	NOUN
futech-532	99	23	sets	set	NOUN
futech-532	99	24	of	of	ADP
futech-532	99	25	data	datum	NOUN
futech-532	99	26	.	.	PUNCT
futech-532	100	1	an	an	DET
futech-532	100	2	experimental	experimental	ADJ
futech-532	100	3	approach	approach	NOUN
futech-532	100	4	was	be	AUX
futech-532	100	5	sought	seek	VERB
futech-532	100	6	to	to	PART
futech-532	100	7	compare	compare	VERB
futech-532	100	8	the	the	DET
futech-532	100	9	performances	performance	NOUN
futech-532	100	10	of	of	ADP
futech-532	100	11	different	different	ADJ
futech-532	100	12	models	model	NOUN
futech-532	100	13	based	base	VERB
futech-532	100	14	on	on	ADP
futech-532	100	15	pre	pre	ADJ
futech-532	100	16	-	-	ADJ
futech-532	100	17	established	established	ADJ
futech-532	100	18	evaluation	evaluation	NOUN
futech-532	100	19	standards	standard	NOUN
futech-532	100	20	.	.	PUNCT
futech-532	101	1	the	the	DET
futech-532	101	2	conditions	condition	NOUN
futech-532	101	3	in	in	ADP
futech-532	101	4	the	the	DET
futech-532	101	5	simulated	simulate	VERB
futech-532	101	6	environment	environment	NOUN
futech-532	101	7	were	be	AUX
futech-532	101	8	manipulated	manipulate	VERB
futech-532	101	9	in	in	ADP
futech-532	101	10	order	order	NOUN
futech-532	101	11	to	to	PART
futech-532	101	12	make	make	VERB
futech-532	101	13	the	the	DET
futech-532	101	14	study	study	NOUN
futech-532	101	15	reproducible	reproducible	VERB
futech-532	101	16	and	and	CCONJ
futech-532	101	17	internally	internally	ADV
futech-532	101	18	valid	valid	ADJ
futech-532	101	19	.	.	PUNCT
futech-532	102	1	3.2	3.2	NUM
futech-532	102	2	data	datum	NOUN
futech-532	102	3	collection	collection	NOUN
futech-532	102	4	method	method	NOUN
futech-532	102	5	the	the	DET
futech-532	102	6	information	information	NOUN
futech-532	102	7	on	on	ADP
futech-532	102	8	software	software	NOUN
futech-532	102	9	defects	defect	NOUN
futech-532	102	10	was	be	AUX
futech-532	102	11	acquired	acquire	VERB
futech-532	102	12	according	accord	VERB
futech-532	102	13	to	to	ADP
futech-532	102	14	the	the	DET
futech-532	102	15	nasa	nasa	PROPN
futech-532	102	16	metrics	metric	NOUN
futech-532	102	17	data	datum	NOUN
futech-532	102	18	program	program	NOUN
futech-532	102	19	(	(	PUNCT
futech-532	102	20	mdp	mdp	PROPN
futech-532	102	21	)	)	PUNCT
futech-532	102	22	and	and	CCONJ
futech-532	102	23	promise	promise	VERB
futech-532	102	24	repositories	repository	NOUN
futech-532	102	25	.	.	PUNCT
futech-532	103	1	these	these	DET
futech-532	103	2	data	datum	NOUN
futech-532	103	3	provided	provide	VERB
futech-532	103	4	historical	historical	ADJ
futech-532	103	5	,	,	PUNCT
futech-532	103	6	module	module	NOUN
futech-532	103	7	-	-	PUNCT
futech-532	103	8	level	level	NOUN
futech-532	103	9	measures	measure	NOUN
futech-532	103	10	and	and	CCONJ
futech-532	103	11	related	relate	VERB
futech-532	103	12	defect	defect	NOUN
futech-532	103	13	labels	label	NOUN
futech-532	103	14	of	of	ADP
futech-532	103	15	several	several	ADJ
futech-532	103	16	actual	actual	ADJ
futech-532	103	17	software	software	NOUN
futech-532	103	18	development	development	NOUN
futech-532	103	19	projects	project	NOUN
futech-532	103	20	.	.	PUNCT
futech-532	104	1	the	the	DET
futech-532	104	2	data	data	NOUN
futech-532	104	3	collection	collection	NOUN
futech-532	104	4	was	be	AUX
futech-532	104	5	performed	perform	VERB
futech-532	104	6	by	by	ADP
futech-532	104	7	downloading	download	VERB
futech-532	104	8	the	the	DET
futech-532	104	9	cleaned	clean	VERB
futech-532	104	10	and	and	CCONJ
futech-532	104	11	preprocessed	preprocesse	VERB
futech-532	104	12	csv	csv	NOUN
futech-532	104	13	files	file	NOUN
futech-532	104	14	from	from	ADP
futech-532	104	15	the	the	DET
futech-532	104	16	repository	repository	NOUN
futech-532	104	17	archives	archive	NOUN
futech-532	104	18	.	.	PUNCT
futech-532	105	1	each	each	DET
futech-532	105	2	dataset	dataset	NOUN
futech-532	105	3	had	have	VERB
futech-532	105	4	sets	set	NOUN
futech-532	105	5	of	of	ADP
futech-532	105	6	fixed	fix	VERB
futech-532	105	7	software	software	NOUN
futech-532	105	8	measurements	measurement	NOUN
futech-532	105	9	,	,	PUNCT
futech-532	105	10	such	such	ADJ
futech-532	105	11	as	as	ADP
futech-532	105	12	lines	line	NOUN
futech-532	105	13	of	of	ADP
futech-532	105	14	code	code	NOUN
futech-532	105	15	,	,	PUNCT
futech-532	105	16	cyclomatic	cyclomatic	ADJ
futech-532	105	17	complexity	complexity	NOUN
futech-532	105	18	,	,	PUNCT
futech-532	105	19	coupling	coupling	NOUN
futech-532	105	20	,	,	PUNCT
futech-532	105	21	cohesion	cohesion	NOUN
futech-532	105	22	,	,	PUNCT
futech-532	105	23	and	and	CCONJ
futech-532	105	24	objectoriented	objectoriente	VERB
futech-532	105	25	design	design	NOUN
futech-532	105	26	measurements	measurement	NOUN
futech-532	105	27	,	,	PUNCT
futech-532	105	28	and	and	CCONJ
futech-532	105	29	binary	binary	ADJ
futech-532	105	30	defect	defect	NOUN
futech-532	105	31	labels	label	NOUN
futech-532	105	32	.	.	PUNCT
futech-532	106	1	the	the	DET
futech-532	106	2	applied	apply	VERB
futech-532	106	3	data	data	NOUN
futech-532	106	4	sets	set	NOUN
futech-532	106	5	were	be	AUX
futech-532	106	6	spacecraft	spacecraft	NOUN
futech-532	106	7	instrumentation	instrumentation	NOUN
futech-532	106	8	software	software	NOUN
futech-532	106	9	(	(	PUNCT
futech-532	106	10	cm1	cm1	NOUN
futech-532	106	11	)	)	PUNCT
futech-532	106	12	,	,	PUNCT
futech-532	106	13	flight	flight	NOUN
futech-532	106	14	software	software	NOUN
futech-532	106	15	to	to	PART
futech-532	106	16	process	process	VERB
futech-532	106	17	image	image	NOUN
futech-532	106	18	(	(	PUNCT
futech-532	106	19	pc1	pc1	PROPN
futech-532	106	20	)	)	PUNCT
futech-532	106	21	,	,	PUNCT
futech-532	106	22	real	real	ADJ
futech-532	106	23	-	-	PUNCT
futech-532	106	24	time	time	NOUN
futech-532	106	25	predictive	predictive	ADJ
futech-532	106	26	ground	ground	NOUN
futech-532	106	27	system	system	NOUN
futech-532	106	28	software	software	NOUN
futech-532	106	29	(	(	PUNCT
futech-532	106	30	jm1	jm1	PROPN
futech-532	106	31	)	)	PUNCT
futech-532	106	32	,	,	PUNCT
futech-532	106	33	and	and	CCONJ
futech-532	106	34	storage	storage	NOUN
futech-532	106	35	management	management	NOUN
futech-532	106	36	software	software	NOUN
futech-532	106	37	(	(	PUNCT
futech-532	106	38	kc1	kc1	NOUN
futech-532	106	39	)	)	PUNCT
futech-532	106	40	,	,	PUNCT
futech-532	106	41	which	which	PRON
futech-532	106	42	are	be	AUX
futech-532	106	43	popular	popular	ADJ
futech-532	106	44	benchmarks	benchmark	NOUN
futech-532	106	45	in	in	ADP
futech-532	106	46	the	the	DET
futech-532	106	47	field	field	NOUN
futech-532	106	48	of	of	ADP
futech-532	106	49	defect	defect	ADJ
futech-532	106	50	prediction	prediction	NOUN
futech-532	106	51	.	.	PUNCT
futech-532	107	1	before	before	ADP
futech-532	107	2	the	the	DET
futech-532	107	3	experiment	experiment	NOUN
futech-532	107	4	,	,	PUNCT
futech-532	107	5	the	the	DET
futech-532	107	6	data	datum	NOUN
futech-532	107	7	was	be	AUX
futech-532	107	8	verified	verify	VERB
futech-532	107	9	for	for	ADP
futech-532	107	10	consistency	consistency	NOUN
futech-532	107	11	,	,	PUNCT
futech-532	107	12	data	datum	NOUN
futech-532	107	13	missing	missing	ADJ
futech-532	107	14	,	,	PUNCT
futech-532	107	15	and	and	CCONJ
futech-532	107	16	imbalances	imbalance	NOUN
futech-532	107	17	.	.	PUNCT
futech-532	108	1	four	four	NUM
futech-532	108	2	nasa	nasa	PROPN
futech-532	108	3	datasets	dataset	NOUN
futech-532	108	4	,	,	PUNCT
futech-532	108	5	cm1	cm1	PROPN
futech-532	108	6	,	,	PUNCT
futech-532	108	7	pc1	pc1	PROPN
futech-532	108	8	,	,	PUNCT
futech-532	108	9	jm1	jm1	PROPN
futech-532	108	10	,	,	PUNCT
futech-532	108	11	and	and	CCONJ
futech-532	108	12	kc1	kc1	PROPN
futech-532	108	13	,	,	PUNCT
futech-532	108	14	were	be	AUX
futech-532	108	15	carefully	carefully	ADV
futech-532	108	16	selected	select	VERB
futech-532	108	17	because	because	SCONJ
futech-532	108	18	they	they	PRON
futech-532	108	19	are	be	AUX
futech-532	108	20	commonly	commonly	ADV
futech-532	108	21	accepted	accept	VERB
futech-532	108	22	standards	standard	NOUN
futech-532	108	23	in	in	ADP
futech-532	108	24	software	software	NOUN
futech-532	108	25	defect	defect	NOUN
futech-532	108	26	prediction	prediction	NOUN
futech-532	108	27	and	and	CCONJ
futech-532	108	28	represent	represent	VERB
futech-532	108	29	different	different	ADJ
futech-532	108	30	software	software	NOUN
futech-532	108	31	spheres	sphere	NOUN
futech-532	108	32	.	.	PUNCT
futech-532	109	1	their	their	PRON
futech-532	109	2	diversity	diversity	NOUN
futech-532	109	3	ensures	ensure	VERB
futech-532	109	4	comparability	comparability	NOUN
futech-532	109	5	,	,	PUNCT
futech-532	109	6	reproducibility	reproducibility	NOUN
futech-532	109	7	,	,	PUNCT
futech-532	109	8	and	and	CCONJ
futech-532	109	9	adequate	adequate	ADJ
futech-532	109	10	coverage	coverage	NOUN
futech-532	109	11	of	of	ADP
futech-532	109	12	varied	varied	ADJ
futech-532	109	13	code	code	NOUN
futech-532	109	14	complexities	complexity	NOUN
futech-532	109	15	for	for	ADP
futech-532	109	16	evaluating	evaluate	VERB
futech-532	109	17	model	model	NOUN
futech-532	109	18	robustness	robustness	NOUN
futech-532	109	19	.	.	PUNCT
futech-532	110	1	pk	pk	NOUN
futech-532	110	2	.	.	PROPN
futech-532	110	3	tamrakar	tamrakar	PROPN
futech-532	110	4	et	et	PROPN
futech-532	110	5	al	al	PROPN
futech-532	110	6	.	.	PROPN
futech-532	110	7	/future	/future	PUNCT
futech-532	110	8	technology	technology	PROPN
futech-532	110	9	february	february	PROPN
futech-532	110	10	2026|	2026|	NUM
futech-532	110	11	volume	volume	NOUN
futech-532	110	12	05	05	NUM
futech-532	111	1	|	|	ADV
futech-532	111	2	issue	issue	NOUN
futech-532	111	3	01	01	NUM
futech-532	112	1	|	|	ADV
futech-532	112	2	pages	page	VERB
futech-532	112	3	38	38	NUM
futech-532	112	4	-	-	SYM
futech-532	112	5	46	46	NUM
futech-532	112	6	41	41	NUM
futech-532	112	7	3.3	3.3	NUM
futech-532	112	8	population	population	NOUN
futech-532	112	9	and	and	CCONJ
futech-532	112	10	sampling	sample	VERB
futech-532	112	11	the	the	DET
futech-532	112	12	target	target	NOUN
futech-532	112	13	population	population	NOUN
futech-532	112	14	consisted	consist	VERB
futech-532	112	15	of	of	ADP
futech-532	112	16	open	open	ADJ
futech-532	112	17	-	-	PUNCT
futech-532	112	18	source	source	NOUN
futech-532	112	19	and	and	CCONJ
futech-532	112	20	nasa	nasa	PROPN
futech-532	112	21	-	-	PUNCT
futech-532	112	22	based	base	VERB
futech-532	112	23	software	software	NOUN
futech-532	112	24	projects	project	NOUN
futech-532	112	25	in	in	ADP
futech-532	112	26	the	the	DET
futech-532	112	27	form	form	NOUN
futech-532	112	28	of	of	ADP
futech-532	112	29	software	software	NOUN
futech-532	112	30	modules	module	NOUN
futech-532	112	31	.	.	PUNCT
futech-532	113	1	the	the	DET
futech-532	113	2	static	static	ADJ
futech-532	113	3	code	code	NOUN
futech-532	113	4	metrics	metric	NOUN
futech-532	113	5	describing	describe	VERB
futech-532	113	6	each	each	DET
futech-532	113	7	software	software	NOUN
futech-532	113	8	module	module	NOUN
futech-532	113	9	were	be	AUX
futech-532	113	10	viewed	view	VERB
futech-532	113	11	as	as	ADP
futech-532	113	12	a	a	DET
futech-532	113	13	data	data	NOUN
futech-532	113	14	point	point	NOUN
futech-532	113	15	of	of	ADP
futech-532	113	16	predictive	predictive	ADJ
futech-532	113	17	modeling	modeling	NOUN
futech-532	113	18	.	.	PUNCT
futech-532	114	1	the	the	DET
futech-532	114	2	process	process	NOUN
futech-532	114	3	of	of	ADP
futech-532	114	4	stratified	stratified	ADJ
futech-532	114	5	sampling	sampling	NOUN
futech-532	114	6	was	be	AUX
futech-532	114	7	employed	employ	VERB
futech-532	114	8	to	to	PART
futech-532	114	9	ensure	ensure	VERB
futech-532	114	10	that	that	SCONJ
futech-532	114	11	there	there	PRON
futech-532	114	12	was	be	VERB
futech-532	114	13	proportional	proportional	ADJ
futech-532	114	14	representation	representation	NOUN
futech-532	114	15	of	of	ADP
futech-532	114	16	the	the	DET
futech-532	114	17	defective	defective	ADJ
futech-532	114	18	and	and	CCONJ
futech-532	114	19	non	non	ADJ
futech-532	114	20	-	-	ADJ
futech-532	114	21	defective	defective	ADJ
futech-532	114	22	instances	instance	NOUN
futech-532	114	23	during	during	ADP
futech-532	114	24	model	model	NOUN
futech-532	114	25	training	training	NOUN
futech-532	114	26	and	and	CCONJ
futech-532	114	27	testing	testing	NOUN
futech-532	114	28	.	.	PUNCT
futech-532	115	1	datasets	dataset	NOUN
futech-532	115	2	with	with	ADP
futech-532	115	3	severe	severe	ADJ
futech-532	115	4	class	class	NOUN
futech-532	115	5	imbalance	imbalance	NOUN
futech-532	115	6	were	be	AUX
futech-532	115	7	handled	handle	VERB
futech-532	115	8	using	use	VERB
futech-532	115	9	smote	smote	NOUN
futech-532	115	10	(	(	PUNCT
futech-532	115	11	synthetic	synthetic	ADJ
futech-532	115	12	minority	minority	NOUN
futech-532	115	13	over	over	ADP
futech-532	115	14	-	-	PUNCT
futech-532	115	15	sampling	sample	VERB
futech-532	115	16	technique	technique	NOUN
futech-532	115	17	)	)	PUNCT
futech-532	115	18	to	to	PART
futech-532	115	19	ensure	ensure	VERB
futech-532	115	20	that	that	SCONJ
futech-532	115	21	the	the	DET
futech-532	115	22	training	training	NOUN
futech-532	115	23	data	datum	NOUN
futech-532	115	24	contained	contain	VERB
futech-532	115	25	adequate	adequate	ADJ
futech-532	115	26	positive	positive	ADJ
futech-532	115	27	class	class	NOUN
futech-532	115	28	representation	representation	NOUN
futech-532	115	29	for	for	ADP
futech-532	115	30	learning	learn	VERB
futech-532	115	31	algorithms	algorithm	NOUN
futech-532	115	32	.	.	PUNCT
futech-532	116	1	the	the	DET
futech-532	116	2	sample	sample	NOUN
futech-532	116	3	size	size	NOUN
futech-532	116	4	of	of	ADP
futech-532	116	5	500	500	NUM
futech-532	116	6	modules	module	NOUN
futech-532	116	7	was	be	AUX
futech-532	116	8	selected	select	VERB
futech-532	116	9	to	to	PART
futech-532	116	10	maintain	maintain	VERB
futech-532	116	11	balanced	balanced	ADJ
futech-532	116	12	class	class	NOUN
futech-532	116	13	distribution	distribution	NOUN
futech-532	116	14	and	and	CCONJ
futech-532	116	15	ensure	ensure	VERB
futech-532	116	16	efficient	efficient	ADJ
futech-532	116	17	hyperparameter	hyperparameter	NOUN
futech-532	116	18	optimization	optimization	NOUN
futech-532	116	19	during	during	ADP
futech-532	116	20	multiple	multiple	ADJ
futech-532	116	21	cross	cross	ADJ
futech-532	116	22	-	-	ADJ
futech-532	116	23	validation	validation	ADJ
futech-532	116	24	cycles	cycle	NOUN
futech-532	116	25	without	without	ADP
futech-532	116	26	exceeding	exceed	VERB
futech-532	116	27	computational	computational	ADJ
futech-532	116	28	limits	limit	NOUN
futech-532	116	29	.	.	PUNCT
futech-532	117	1	3.4	3.4	NUM
futech-532	117	2	data	datum	NOUN
futech-532	117	3	analysis	analysis	NOUN
futech-532	117	4	technique	technique	NOUN
futech-532	117	5	the	the	DET
futech-532	117	6	dataset	dataset	ADJ
futech-532	117	7	underwent	underwent	NOUN
futech-532	117	8	normalization	normalization	NOUN
futech-532	117	9	using	use	VERB
futech-532	117	10	min	min	NOUN
futech-532	117	11	-	-	ADJ
futech-532	117	12	max	max	ADJ
futech-532	117	13	scaling	scaling	NOUN
futech-532	117	14	to	to	PART
futech-532	117	15	ensure	ensure	VERB
futech-532	117	16	uniform	uniform	ADJ
futech-532	117	17	feature	feature	NOUN
futech-532	117	18	ranges	range	VERB
futech-532	117	19	across	across	ADP
futech-532	117	20	models	model	NOUN
futech-532	117	21	.	.	PUNCT
futech-532	118	1	feature	feature	NOUN
futech-532	118	2	selection	selection	NOUN
futech-532	118	3	was	be	AUX
futech-532	118	4	performed	perform	VERB
futech-532	118	5	using	use	VERB
futech-532	118	6	recursive	recursive	ADJ
futech-532	118	7	feature	feature	NOUN
futech-532	118	8	elimination	elimination	NOUN
futech-532	118	9	(	(	PUNCT
futech-532	118	10	rfe	rfe	NOUN
futech-532	118	11	)	)	PUNCT
futech-532	118	12	and	and	CCONJ
futech-532	118	13	mutual	mutual	ADJ
futech-532	118	14	information	information	NOUN
futech-532	118	15	-	-	PUNCT
futech-532	118	16	based	base	VERB
futech-532	118	17	ranking	ranking	NOUN
futech-532	118	18	to	to	PART
futech-532	118	19	identify	identify	VERB
futech-532	118	20	the	the	DET
futech-532	118	21	most	most	ADV
futech-532	118	22	informative	informative	ADJ
futech-532	118	23	subset	subset	NOUN
futech-532	118	24	of	of	ADP
futech-532	118	25	attributes	attribute	NOUN
futech-532	118	26	.	.	PUNCT
futech-532	119	1	the	the	DET
futech-532	119	2	rfe	rfe	PROPN
futech-532	119	3	method	method	NOUN
futech-532	119	4	iteratively	iteratively	ADV
futech-532	119	5	removed	remove	VERB
futech-532	119	6	less	less	ADV
futech-532	119	7	significant	significant	ADJ
futech-532	119	8	features	feature	NOUN
futech-532	119	9	based	base	VERB
futech-532	119	10	on	on	ADP
futech-532	119	11	model	model	NOUN
futech-532	119	12	importance	importance	NOUN
futech-532	119	13	scores	score	NOUN
futech-532	119	14	until	until	SCONJ
futech-532	119	15	an	an	DET
futech-532	119	16	optimal	optimal	ADJ
futech-532	119	17	subset	subset	NOUN
futech-532	119	18	of	of	ADP
futech-532	119	19	about	about	ADV
futech-532	119	20	15	15	NUM
futech-532	119	21	metrics	metric	NOUN
futech-532	119	22	was	be	AUX
futech-532	119	23	obtained	obtain	VERB
futech-532	119	24	.	.	PUNCT
futech-532	120	1	mutual	mutual	ADJ
futech-532	120	2	-	-	PUNCT
futech-532	120	3	information	information	NOUN
futech-532	120	4	ranking	rank	VERB
futech-532	120	5	captured	capture	VERB
futech-532	120	6	nonlinear	nonlinear	ADJ
futech-532	120	7	relationships	relationship	NOUN
futech-532	120	8	with	with	ADP
futech-532	120	9	defect	defect	ADJ
futech-532	120	10	labels	label	NOUN
futech-532	120	11	,	,	PUNCT
futech-532	120	12	and	and	CCONJ
futech-532	120	13	the	the	DET
futech-532	120	14	top	top	ADJ
futech-532	120	15	20	20	NUM
futech-532	120	16	%	%	NOUN
futech-532	120	17	of	of	ADP
futech-532	120	18	features	feature	NOUN
futech-532	120	19	were	be	AUX
futech-532	120	20	retained	retain	VERB
futech-532	120	21	.	.	PUNCT
futech-532	121	1	this	this	DET
futech-532	121	2	two	two	NUM
futech-532	121	3	-	-	PUNCT
futech-532	121	4	step	step	NOUN
futech-532	121	5	selection	selection	NOUN
futech-532	121	6	ensured	ensure	VERB
futech-532	121	7	relevant	relevant	ADJ
futech-532	121	8	,	,	PUNCT
futech-532	121	9	non	non	ADJ
futech-532	121	10	-	-	ADJ
futech-532	121	11	redundant	redundant	ADJ
futech-532	121	12	metrics	metric	NOUN
futech-532	121	13	and	and	CCONJ
futech-532	121	14	improved	improve	VERB
futech-532	121	15	model	model	NOUN
futech-532	121	16	interpretability	interpretability	NOUN
futech-532	121	17	.	.	PUNCT
futech-532	122	1	three	three	NUM
futech-532	122	2	baseline	baseline	PROPN
futech-532	122	3	classifiers	classifier	NOUN
futech-532	122	4	,	,	PUNCT
futech-532	122	5	random	random	ADJ
futech-532	122	6	forest	forest	NOUN
futech-532	122	7	,	,	PUNCT
futech-532	122	8	gradient	gradient	ADJ
futech-532	122	9	boosting	boosting	NOUN
futech-532	122	10	,	,	PUNCT
futech-532	122	11	and	and	CCONJ
futech-532	122	12	adaboost	adaboost	ADV
futech-532	122	13	,	,	PUNCT
futech-532	122	14	were	be	AUX
futech-532	122	15	trained	train	VERB
futech-532	122	16	and	and	CCONJ
futech-532	122	17	evaluated	evaluate	VERB
futech-532	122	18	.	.	PUNCT
futech-532	123	1	a	a	DET
futech-532	123	2	heterogeneous	heterogeneous	ADJ
futech-532	123	3	ensemble	ensemble	ADJ
futech-532	123	4	framework	framework	NOUN
futech-532	123	5	based	base	VERB
futech-532	123	6	on	on	ADP
futech-532	123	7	stacking	stacking	NOUN
futech-532	123	8	was	be	AUX
futech-532	123	9	constructed	construct	VERB
futech-532	123	10	by	by	ADP
futech-532	123	11	combining	combine	VERB
futech-532	123	12	the	the	DET
futech-532	123	13	predictions	prediction	NOUN
futech-532	123	14	of	of	ADP
futech-532	123	15	the	the	DET
futech-532	123	16	base	base	NOUN
futech-532	123	17	classifiers	classifier	NOUN
futech-532	123	18	and	and	CCONJ
futech-532	123	19	training	train	VERB
futech-532	123	20	a	a	DET
futech-532	123	21	logistic	logistic	ADJ
futech-532	123	22	regression	regression	NOUN
futech-532	123	23	model	model	NOUN
futech-532	123	24	as	as	ADP
futech-532	123	25	a	a	DET
futech-532	123	26	metalearner	metalearner	NOUN
futech-532	123	27	.	.	PUNCT
futech-532	124	1	ten	ten	NUM
futech-532	124	2	-	-	ADJ
futech-532	124	3	fold	fold	ADJ
futech-532	124	4	cross	cross	NOUN
futech-532	124	5	-	-	ADJ
futech-532	124	6	validation	validation	NOUN
futech-532	124	7	was	be	AUX
futech-532	124	8	employed	employ	VERB
futech-532	124	9	to	to	PART
futech-532	124	10	validate	validate	VERB
futech-532	124	11	model	model	NOUN
futech-532	124	12	performance	performance	NOUN
futech-532	124	13	and	and	CCONJ
futech-532	124	14	minimize	minimize	VERB
futech-532	124	15	bias	bias	NOUN
futech-532	124	16	due	due	ADP
futech-532	124	17	to	to	ADP
futech-532	124	18	data	datum	NOUN
futech-532	124	19	partitioning	partitioning	NOUN
futech-532	124	20	.	.	PUNCT
futech-532	125	1	evaluation	evaluation	NOUN
futech-532	125	2	metrics	metric	NOUN
futech-532	125	3	included	include	VERB
futech-532	125	4	accuracy	accuracy	NOUN
futech-532	125	5	,	,	PUNCT
futech-532	125	6	precision	precision	NOUN
futech-532	125	7	,	,	PUNCT
futech-532	125	8	recall	recall	NOUN
futech-532	125	9	,	,	PUNCT
futech-532	125	10	f1	f1	NOUN
futech-532	125	11	-	-	PUNCT
futech-532	125	12	score	score	NOUN
futech-532	125	13	,	,	PUNCT
futech-532	125	14	and	and	CCONJ
futech-532	125	15	area	area	NOUN
futech-532	125	16	under	under	ADP
futech-532	125	17	the	the	DET
futech-532	125	18	receiver	receiver	NOUN
futech-532	125	19	operating	operate	VERB
futech-532	125	20	characteristic	characteristic	ADJ
futech-532	125	21	curve	curve	NOUN
futech-532	125	22	(	(	PUNCT
futech-532	125	23	auc	auc	NOUN
futech-532	125	24	-	-	PUNCT
futech-532	125	25	roc	roc	NOUN
futech-532	125	26	)	)	PUNCT
futech-532	125	27	.	.	PUNCT
futech-532	126	1	hyperparameter	hyperparameter	NOUN
futech-532	126	2	tuning	tuning	NOUN
futech-532	126	3	was	be	AUX
futech-532	126	4	carried	carry	VERB
futech-532	126	5	out	out	ADP
futech-532	126	6	using	use	VERB
futech-532	126	7	grid	grid	NOUN
futech-532	126	8	search	search	NOUN
futech-532	126	9	with	with	ADP
futech-532	126	10	cross	cross	NOUN
futech-532	126	11	-	-	ADJ
futech-532	126	12	validation	validation	NOUN
futech-532	126	13	to	to	PART
futech-532	126	14	optimize	optimize	VERB
futech-532	126	15	model	model	NOUN
futech-532	126	16	configurations	configuration	NOUN
futech-532	126	17	.	.	PUNCT
futech-532	127	1	all	all	DET
futech-532	127	2	experiments	experiment	NOUN
futech-532	127	3	were	be	AUX
futech-532	127	4	implemented	implement	VERB
futech-532	127	5	using	use	VERB
futech-532	127	6	the	the	DET
futech-532	127	7	python	python	NOUN
futech-532	127	8	programming	programming	NOUN
futech-532	127	9	language	language	NOUN
futech-532	127	10	with	with	ADP
futech-532	127	11	scikit	scikit	NOUN
futech-532	127	12	-	-	PUNCT
futech-532	127	13	learn	learn	NOUN
futech-532	127	14	and	and	CCONJ
futech-532	127	15	xgboost	xgboost	ADV
futech-532	127	16	libraries	library	NOUN
futech-532	127	17	and	and	CCONJ
futech-532	127	18	executed	execute	VERB
futech-532	127	19	on	on	ADP
futech-532	127	20	a	a	DET
futech-532	127	21	highperformance	highperformance	NOUN
futech-532	127	22	computing	compute	VERB
futech-532	127	23	environment	environment	NOUN
futech-532	127	24	with	with	ADP
futech-532	127	25	32	32	NUM
futech-532	127	26	gb	gb	NOUN
futech-532	127	27	ram	ram	NOUN
futech-532	127	28	and	and	CCONJ
futech-532	127	29	8core	8core	NUM
futech-532	127	30	intel	intel	PROPN
futech-532	127	31	xeon	xeon	PROPN
futech-532	127	32	processors	processor	NOUN
futech-532	127	33	.	.	PUNCT
futech-532	128	1	statistical	statistical	ADJ
futech-532	128	2	comparisons	comparison	NOUN
futech-532	128	3	between	between	ADP
futech-532	128	4	models	model	NOUN
futech-532	128	5	were	be	AUX
futech-532	128	6	conducted	conduct	VERB
futech-532	128	7	using	use	VERB
futech-532	128	8	paired	pair	VERB
futech-532	128	9	t	t	NOUN
futech-532	128	10	-	-	PUNCT
futech-532	128	11	tests	test	NOUN
futech-532	128	12	to	to	PART
futech-532	128	13	assess	assess	VERB
futech-532	128	14	the	the	DET
futech-532	128	15	significance	significance	NOUN
futech-532	128	16	of	of	ADP
futech-532	128	17	observed	observed	ADJ
futech-532	128	18	performance	performance	NOUN
futech-532	128	19	differences	difference	NOUN
futech-532	128	20	.	.	PUNCT
futech-532	129	1	3.5	3.5	NUM
futech-532	129	2	ethical	ethical	ADJ
futech-532	129	3	consideration	consideration	NOUN
futech-532	129	4	publicly	publicly	ADV
futech-532	129	5	available	available	ADJ
futech-532	129	6	secondary	secondary	ADJ
futech-532	129	7	datasets	dataset	NOUN
futech-532	129	8	were	be	AUX
futech-532	129	9	used	use	VERB
futech-532	129	10	,	,	PUNCT
futech-532	129	11	all	all	PRON
futech-532	129	12	of	of	ADP
futech-532	129	13	which	which	PRON
futech-532	129	14	were	be	AUX
futech-532	129	15	anonymized	anonymize	VERB
futech-532	129	16	and	and	CCONJ
futech-532	129	17	devoid	devoid	ADJ
futech-532	129	18	of	of	ADP
futech-532	129	19	any	any	DET
futech-532	129	20	personally	personally	ADV
futech-532	129	21	identifiable	identifiable	ADJ
futech-532	129	22	information	information	NOUN
futech-532	129	23	.	.	PUNCT
futech-532	130	1	no	no	DET
futech-532	130	2	direct	direct	ADJ
futech-532	130	3	interaction	interaction	NOUN
futech-532	130	4	with	with	ADP
futech-532	130	5	human	human	ADJ
futech-532	130	6	subjects	subject	NOUN
futech-532	130	7	was	be	AUX
futech-532	130	8	involved	involve	VERB
futech-532	130	9	,	,	PUNCT
futech-532	130	10	thereby	thereby	ADV
futech-532	130	11	eliminating	eliminate	VERB
futech-532	130	12	the	the	DET
futech-532	130	13	need	need	NOUN
futech-532	130	14	for	for	ADP
futech-532	130	15	institutional	institutional	ADJ
futech-532	130	16	ethical	ethical	ADJ
futech-532	130	17	review	review	NOUN
futech-532	130	18	.	.	PUNCT
futech-532	131	1	all	all	DET
futech-532	131	2	data	datum	NOUN
futech-532	131	3	usage	usage	NOUN
futech-532	131	4	complied	comply	VERB
futech-532	131	5	with	with	ADP
futech-532	131	6	repository	repository	NOUN
futech-532	131	7	licensing	licensing	NOUN
futech-532	131	8	terms	term	NOUN
futech-532	131	9	.	.	PUNCT
futech-532	132	1	experimental	experimental	ADJ
futech-532	132	2	scripts	script	NOUN
futech-532	132	3	and	and	CCONJ
futech-532	132	4	models	model	NOUN
futech-532	132	5	were	be	AUX
futech-532	132	6	documented	document	VERB
futech-532	132	7	and	and	CCONJ
futech-532	132	8	version	version	NOUN
futech-532	132	9	-	-	PUNCT
futech-532	132	10	controlled	control	VERB
futech-532	132	11	to	to	PART
futech-532	132	12	ensure	ensure	VERB
futech-532	132	13	transparency	transparency	NOUN
futech-532	132	14	and	and	CCONJ
futech-532	132	15	reproducibility	reproducibility	NOUN
futech-532	132	16	.	.	PUNCT
futech-532	133	1	computational	computational	ADJ
futech-532	133	2	resources	resource	NOUN
futech-532	133	3	were	be	AUX
futech-532	133	4	used	use	VERB
futech-532	133	5	responsibly	responsibly	ADV
futech-532	133	6	,	,	PUNCT
futech-532	133	7	and	and	CCONJ
futech-532	133	8	all	all	DET
futech-532	133	9	model	model	NOUN
futech-532	133	10	results	result	NOUN
futech-532	133	11	were	be	AUX
futech-532	133	12	reported	report	VERB
futech-532	133	13	without	without	ADP
futech-532	133	14	manipulation	manipulation	NOUN
futech-532	133	15	or	or	CCONJ
futech-532	133	16	selective	selective	ADJ
futech-532	133	17	omission	omission	NOUN
futech-532	133	18	.	.	PUNCT
futech-532	134	1	the	the	DET
futech-532	134	2	implementation	implementation	NOUN
futech-532	134	3	code	code	NOUN
futech-532	134	4	and	and	CCONJ
futech-532	134	5	experiment	experiment	NOUN
futech-532	134	6	scripts	script	NOUN
futech-532	134	7	have	have	AUX
futech-532	134	8	been	be	AUX
futech-532	134	9	archived	archive	VERB
futech-532	134	10	in	in	ADP
futech-532	134	11	a	a	DET
futech-532	134	12	private	private	ADJ
futech-532	134	13	github	github	NOUN
futech-532	134	14	repository	repository	NOUN
futech-532	134	15	and	and	CCONJ
futech-532	134	16	are	be	AUX
futech-532	134	17	available	available	ADJ
futech-532	134	18	from	from	ADP
futech-532	134	19	the	the	DET
futech-532	134	20	corresponding	corresponding	ADJ
futech-532	134	21	author	author	NOUN
futech-532	134	22	upon	upon	SCONJ
futech-532	134	23	reasonable	reasonable	ADJ
futech-532	134	24	request	request	NOUN
futech-532	134	25	.	.	PUNCT
futech-532	135	1	4	4	X
futech-532	135	2	.	.	NOUN
futech-532	135	3	results	result	VERB
futech-532	135	4	performance	performance	NOUN
futech-532	135	5	evaluation	evaluation	NOUN
futech-532	135	6	was	be	AUX
futech-532	135	7	carried	carry	VERB
futech-532	135	8	out	out	ADP
futech-532	135	9	on	on	ADP
futech-532	135	10	a	a	DET
futech-532	135	11	balanced	balanced	ADJ
futech-532	135	12	dataset	dataset	NOUN
futech-532	135	13	of	of	ADP
futech-532	135	14	500	500	NUM
futech-532	135	15	software	software	NOUN
futech-532	135	16	modules	module	NOUN
futech-532	135	17	,	,	PUNCT
futech-532	135	18	equally	equally	ADV
futech-532	135	19	sourced	source	VERB
futech-532	135	20	from	from	ADP
futech-532	135	21	cm1	cm1	PROPN
futech-532	135	22	,	,	PUNCT
futech-532	135	23	pc1	pc1	PROPN
futech-532	135	24	,	,	PUNCT
futech-532	135	25	jm1	jm1	PROPN
futech-532	135	26	,	,	PUNCT
futech-532	135	27	and	and	CCONJ
futech-532	135	28	kc1	kc1	INTJ
futech-532	135	29	(	(	PUNCT
futech-532	135	30	125	125	NUM
futech-532	135	31	modules	module	NOUN
futech-532	135	32	each	each	PRON
futech-532	135	33	)	)	PUNCT
futech-532	135	34	.	.	PUNCT
futech-532	136	1	stratified	stratified	ADJ
futech-532	136	2	sampling	sample	VERB
futech-532	136	3	maintained	maintain	VERB
futech-532	136	4	the	the	DET
futech-532	136	5	original	original	ADJ
futech-532	136	6	class	class	NOUN
futech-532	136	7	distribution	distribution	NOUN
futech-532	136	8	,	,	PUNCT
futech-532	136	9	while	while	SCONJ
futech-532	136	10	smote	smote	ADJ
futech-532	136	11	addressed	address	VERB
futech-532	136	12	minor	minor	ADJ
futech-532	136	13	imbalances	imbalance	NOUN
futech-532	136	14	during	during	ADP
futech-532	136	15	training	training	NOUN
futech-532	136	16	.	.	PUNCT
futech-532	137	1	features	feature	NOUN
futech-532	137	2	were	be	AUX
futech-532	137	3	normalized	normalize	VERB
futech-532	137	4	using	use	VERB
futech-532	137	5	min	min	ADJ
futech-532	137	6	-	-	ADJ
futech-532	137	7	max	max	ADJ
futech-532	137	8	scaling	scaling	NOUN
futech-532	137	9	,	,	PUNCT
futech-532	137	10	and	and	CCONJ
futech-532	137	11	selection	selection	NOUN
futech-532	137	12	was	be	AUX
futech-532	137	13	performed	perform	VERB
futech-532	137	14	via	via	ADP
futech-532	137	15	recursive	recursive	ADJ
futech-532	137	16	feature	feature	NOUN
futech-532	137	17	elimination	elimination	NOUN
futech-532	137	18	(	(	PUNCT
futech-532	137	19	rfe	rfe	NOUN
futech-532	137	20	)	)	PUNCT
futech-532	137	21	and	and	CCONJ
futech-532	137	22	mutual	mutual	ADJ
futech-532	137	23	information	information	NOUN
futech-532	137	24	ranking	ranking	NOUN
futech-532	137	25	.	.	PUNCT
futech-532	138	1	ten	ten	NUM
futech-532	138	2	-	-	ADJ
futech-532	138	3	fold	fold	ADJ
futech-532	138	4	cross	cross	ADJ
futech-532	138	5	-	-	ADJ
futech-532	138	6	validation	validation	ADJ
futech-532	138	7	and	and	CCONJ
futech-532	138	8	grid	grid	NOUN
futech-532	138	9	search	search	NOUN
futech-532	138	10	were	be	AUX
futech-532	138	11	applied	apply	VERB
futech-532	138	12	to	to	PART
futech-532	138	13	ensure	ensure	VERB
futech-532	138	14	model	model	NOUN
futech-532	138	15	robustness	robustness	NOUN
futech-532	138	16	and	and	CCONJ
futech-532	138	17	optimal	optimal	ADJ
futech-532	138	18	hyperparameter	hyperparameter	NOUN
futech-532	138	19	configurations	configuration	NOUN
futech-532	138	20	.	.	PUNCT
futech-532	139	1	4.1	4.1	NUM
futech-532	139	2	accuracy	accuracy	NOUN
futech-532	139	3	evaluation	evaluation	NOUN
futech-532	139	4	as	as	SCONJ
futech-532	139	5	presented	present	VERB
futech-532	139	6	in	in	ADP
futech-532	139	7	table	table	NOUN
futech-532	139	8	1	1	NUM
futech-532	139	9	,	,	PUNCT
futech-532	139	10	the	the	DET
futech-532	139	11	proposed	propose	VERB
futech-532	139	12	stacked	stack	VERB
futech-532	139	13	ensemble	ensemble	ADJ
futech-532	139	14	model	model	NOUN
futech-532	139	15	consistently	consistently	ADV
futech-532	139	16	outperformed	outperform	VERB
futech-532	139	17	baseline	baseline	NOUN
futech-532	139	18	models	model	NOUN
futech-532	139	19	across	across	ADP
futech-532	139	20	all	all	DET
futech-532	139	21	datasets	dataset	NOUN
futech-532	139	22	.	.	PUNCT
futech-532	140	1	the	the	DET
futech-532	140	2	ensemble	ensemble	ADJ
futech-532	140	3	achieved	achieve	VERB
futech-532	140	4	the	the	DET
futech-532	140	5	highest	high	ADJ
futech-532	140	6	accuracy	accuracy	NOUN
futech-532	140	7	on	on	ADP
futech-532	140	8	cm1	cm1	PROPN
futech-532	140	9	(	(	PUNCT
futech-532	140	10	0.88	0.88	NUM
futech-532	140	11	)	)	PUNCT
futech-532	140	12	,	,	PUNCT
futech-532	140	13	pc1	pc1	PROPN
futech-532	140	14	(	(	PUNCT
futech-532	140	15	0.85	0.85	NUM
futech-532	140	16	)	)	PUNCT
futech-532	140	17	,	,	PUNCT
futech-532	140	18	jm1	jm1	PROPN
futech-532	140	19	(	(	PUNCT
futech-532	140	20	0.82	0.82	NUM
futech-532	140	21	)	)	PUNCT
futech-532	140	22	,	,	PUNCT
futech-532	140	23	and	and	CCONJ
futech-532	140	24	kc1	kc1	INTJ
futech-532	140	25	(	(	PUNCT
futech-532	140	26	0.86	0.86	NUM
futech-532	140	27	)	)	PUNCT
futech-532	140	28	,	,	PUNCT
futech-532	140	29	demonstrating	demonstrate	VERB
futech-532	140	30	a	a	DET
futech-532	140	31	clear	clear	ADJ
futech-532	140	32	performance	performance	NOUN
futech-532	140	33	margin	margin	NOUN
futech-532	140	34	over	over	ADP
futech-532	140	35	individual	individual	ADJ
futech-532	140	36	learners	learner	NOUN
futech-532	140	37	.	.	PUNCT
futech-532	141	1	random	random	ADJ
futech-532	141	2	forest	forest	NOUN
futech-532	141	3	and	and	CCONJ
futech-532	141	4	gradient	gradient	NOUN
futech-532	141	5	boosting	boosting	NOUN
futech-532	141	6	followed	follow	VERB
futech-532	141	7	closely	closely	ADV
futech-532	141	8	but	but	CCONJ
futech-532	141	9	did	do	AUX
futech-532	141	10	not	not	PART
futech-532	141	11	match	match	VERB
futech-532	141	12	the	the	DET
futech-532	141	13	predictive	predictive	ADJ
futech-532	141	14	strength	strength	NOUN
futech-532	141	15	of	of	ADP
futech-532	141	16	the	the	DET
futech-532	141	17	ensemble	ensemble	ADJ
futech-532	141	18	.	.	PUNCT
futech-532	142	1	figure	figure	NOUN
futech-532	142	2	1	1	NUM
futech-532	142	3	displays	display	VERB
futech-532	142	4	the	the	DET
futech-532	142	5	accuracy	accuracy	NOUN
futech-532	142	6	performance	performance	NOUN
futech-532	142	7	of	of	ADP
futech-532	142	8	four	four	NUM
futech-532	142	9	machine	machine	NOUN
futech-532	142	10	learning	learning	NOUN
futech-532	142	11	models	model	NOUN
futech-532	142	12	across	across	ADP
futech-532	142	13	the	the	DET
futech-532	142	14	cm1	cm1	PROPN
futech-532	142	15	,	,	PUNCT
futech-532	142	16	pc1	pc1	PROPN
futech-532	142	17	,	,	PUNCT
futech-532	142	18	jm1	jm1	PROPN
futech-532	142	19	,	,	PUNCT
futech-532	142	20	and	and	CCONJ
futech-532	142	21	kc1	kc1	PROPN
futech-532	142	22	datasets	dataset	NOUN
futech-532	142	23	.	.	PUNCT
futech-532	143	1	darker	dark	ADJ
futech-532	143	2	cells	cell	NOUN
futech-532	143	3	indicate	indicate	VERB
futech-532	143	4	higher	high	ADJ
futech-532	143	5	accuracy	accuracy	NOUN
futech-532	143	6	.	.	PUNCT
futech-532	144	1	the	the	DET
futech-532	144	2	stacked	stack	VERB
futech-532	144	3	ensemble	ensemble	NOUN
futech-532	144	4	consistently	consistently	ADV
futech-532	144	5	outperformed	outperform	VERB
futech-532	144	6	all	all	DET
futech-532	144	7	individual	individual	ADJ
futech-532	144	8	models	model	NOUN
futech-532	144	9	,	,	PUNCT
futech-532	144	10	particularly	particularly	ADV
futech-532	144	11	on	on	ADP
futech-532	144	12	cm1	cm1	PROPN
futech-532	144	13	and	and	CCONJ
futech-532	144	14	kc1	kc1	PROPN
futech-532	144	15	,	,	PUNCT
futech-532	144	16	highlighting	highlight	VERB
futech-532	144	17	its	its	PRON
futech-532	144	18	robustness	robustness	NOUN
futech-532	144	19	and	and	CCONJ
futech-532	144	20	superior	superior	ADJ
futech-532	144	21	generalization	generalization	NOUN
futech-532	144	22	capabilities	capability	NOUN
futech-532	144	23	in	in	ADP
futech-532	144	24	software	software	NOUN
futech-532	144	25	defect	defect	NOUN
futech-532	144	26	prediction	prediction	NOUN
futech-532	144	27	.	.	PUNCT
futech-532	145	1	table	table	NOUN
futech-532	145	2	1	1	NUM
futech-532	145	3	.	.	PUNCT
futech-532	146	1	accuracy	accuracy	NOUN
futech-532	146	2	scores	score	NOUN
futech-532	146	3	across	across	ADP
futech-532	146	4	datasets	dataset	NOUN
futech-532	146	5	(	(	PUNCT
futech-532	146	6	sample	sample	NOUN
futech-532	146	7	size	size	NOUN
futech-532	146	8	=	=	SYM
futech-532	146	9	500	500	NUM
futech-532	146	10	)	)	PUNCT
futech-532	146	11	figure	figure	NOUN
futech-532	146	12	1	1	NUM
futech-532	146	13	.	.	PUNCT
futech-532	146	14	heatmap	heatmap	NOUN
futech-532	146	15	of	of	ADP
futech-532	146	16	model	model	NOUN
futech-532	146	17	accuracy	accuracy	NOUN
futech-532	146	18	across	across	ADP
futech-532	146	19	four	four	NUM
futech-532	146	20	benchmark	benchmark	ADJ
futech-532	146	21	datasets	dataset	NOUN
futech-532	146	22	4.2	4.2	NUM
futech-532	146	23	precision	precision	NOUN
futech-532	146	24	analysis	analysis	NOUN
futech-532	146	25	precision	precision	NOUN
futech-532	146	26	scores	score	NOUN
futech-532	146	27	,	,	PUNCT
futech-532	146	28	shown	show	VERB
futech-532	146	29	in	in	ADP
futech-532	146	30	table	table	NOUN
futech-532	146	31	2	2	NUM
futech-532	146	32	,	,	PUNCT
futech-532	146	33	indicated	indicate	VERB
futech-532	146	34	the	the	DET
futech-532	146	35	ensemble	ensemble	ADJ
futech-532	146	36	’s	’s	PART
futech-532	146	37	superior	superior	ADJ
futech-532	146	38	capability	capability	NOUN
futech-532	146	39	in	in	ADP
futech-532	146	40	correctly	correctly	ADV
futech-532	146	41	identifying	identify	VERB
futech-532	146	42	defective	defective	ADJ
futech-532	146	43	modules	module	NOUN
futech-532	146	44	while	while	SCONJ
futech-532	146	45	minimizing	minimize	VERB
futech-532	146	46	false	false	ADJ
futech-532	146	47	positives	positive	NOUN
futech-532	146	48	.	.	PUNCT
futech-532	147	1	the	the	DET
futech-532	147	2	stacked	stack	VERB
futech-532	147	3	model	model	NOUN
futech-532	147	4	reached	reach	VERB
futech-532	147	5	a	a	DET
futech-532	147	6	precision	precision	NOUN
futech-532	147	7	of	of	ADP
futech-532	147	8	0.80	0.80	NUM
futech-532	147	9	on	on	ADP
futech-532	147	10	cm1	cm1	PROPN
futech-532	147	11	and	and	CCONJ
futech-532	147	12	0.78	0.78	NUM
futech-532	147	13	on	on	ADP
futech-532	147	14	pc1	pc1	PROPN
futech-532	147	15	.	.	PUNCT
futech-532	148	1	adaboost	adaboost	ADV
futech-532	148	2	consistently	consistently	ADV
futech-532	148	3	yielded	yield	VERB
futech-532	148	4	the	the	DET
futech-532	148	5	lowest	low	ADJ
futech-532	148	6	precision	precision	NOUN
futech-532	148	7	values	value	NOUN
futech-532	148	8	,	,	PUNCT
futech-532	148	9	confirming	confirm	VERB
futech-532	148	10	that	that	SCONJ
futech-532	148	11	ensemble	ensemble	ADJ
futech-532	148	12	design	design	NOUN
futech-532	148	13	and	and	CCONJ
futech-532	148	14	feature	feature	NOUN
futech-532	148	15	optimization	optimization	NOUN
futech-532	148	16	significantly	significantly	ADV
futech-532	148	17	influenced	influence	VERB
futech-532	148	18	classification	classification	NOUN
futech-532	148	19	reliability	reliability	NOUN
futech-532	148	20	.	.	PUNCT
futech-532	149	1	this	this	DET
futech-532	149	2	improvement	improvement	NOUN
futech-532	149	3	highlights	highlight	NOUN
futech-532	149	4	how	how	SCONJ
futech-532	149	5	the	the	DET
futech-532	149	6	combination	combination	NOUN
futech-532	149	7	of	of	ADP
futech-532	149	8	class	class	NOUN
futech-532	149	9	balancing	balance	VERB
futech-532	149	10	through	through	ADP
futech-532	149	11	smote	smote	ADJ
futech-532	149	12	and	and	CCONJ
futech-532	149	13	feature	feature	NOUN
futech-532	149	14	selection	selection	NOUN
futech-532	149	15	using	use	VERB
futech-532	149	16	rfe	rfe	NOUN
futech-532	149	17	and	and	CCONJ
futech-532	149	18	mutual	mutual	ADJ
futech-532	149	19	information	information	NOUN
futech-532	149	20	directly	directly	ADV
futech-532	149	21	enhanced	enhance	VERB
futech-532	149	22	the	the	DET
futech-532	149	23	ensemble	ensemble	ADJ
futech-532	149	24	’s	’s	PART
futech-532	149	25	precision	precision	NOUN
futech-532	149	26	outcomes	outcome	NOUN
futech-532	149	27	,	,	PUNCT
futech-532	149	28	as	as	SCONJ
futech-532	149	29	further	far	ADV
futech-532	149	30	validated	validate	VERB
futech-532	149	31	by	by	ADP
futech-532	149	32	statistical	statistical	ADJ
futech-532	149	33	testing	testing	NOUN
futech-532	149	34	(	(	PUNCT
futech-532	149	35	p	p	X
futech-532	149	36	<	<	X
futech-532	149	37	0.05	0.05	NUM
futech-532	149	38	)	)	PUNCT
futech-532	149	39	.	.	PUNCT
futech-532	150	1	dataset	dataset	VERB
futech-532	150	2	random	random	ADJ
futech-532	150	3	forest	forest	NOUN
futech-532	150	4	gradient	gradient	NOUN
futech-532	150	5	boosting	boost	VERB
futech-532	150	6	adaboost	adaboost	ADV
futech-532	150	7	stacked	stack	VERB
futech-532	150	8	ensemble	ensemble	ADJ
futech-532	150	9	cm1	cm1	PROPN
futech-532	150	10	0.83	0.83	NUM
futech-532	150	11	0.82	0.82	NUM
futech-532	150	12	0.81	0.81	NUM
futech-532	150	13	0.88	0.88	NUM
futech-532	150	14	pc1	pc1	NOUN
futech-532	150	15	0.80	0.80	NUM
futech-532	150	16	0.79	0.79	NUM
futech-532	150	17	0.77	0.77	NUM
futech-532	150	18	0.85	0.85	NUM
futech-532	151	1	jm1	jm1	NOUN
futech-532	152	1	0.76	0.76	NUM
futech-532	152	2	0.75	0.75	NUM
futech-532	152	3	0.74	0.74	NUM
futech-532	152	4	0.82	0.82	NUM
futech-532	152	5	kc1	kc1	NOUN
futech-532	152	6	0.81	0.81	NUM
futech-532	152	7	0.80	0.80	NUM
futech-532	152	8	0.78	0.78	NUM
futech-532	152	9	0.86	0.86	NUM
futech-532	152	10	pk	pk	NOUN
futech-532	152	11	.	.	PROPN
futech-532	152	12	tamrakar	tamrakar	PROPN
futech-532	153	1	et	et	PROPN
futech-532	153	2	al	al	PROPN
futech-532	153	3	.	.	PROPN
futech-532	153	4	/future	/future	PUNCT
futech-532	153	5	technology	technology	PROPN
futech-532	153	6	february	february	PROPN
futech-532	153	7	2026|	2026|	NUM
futech-532	153	8	volume	volume	NOUN
futech-532	153	9	05	05	NUM
futech-532	154	1	|	|	ADV
futech-532	154	2	issue	issue	NOUN
futech-532	154	3	01	01	NUM
futech-532	155	1	|	|	ADV
futech-532	155	2	pages	page	VERB
futech-532	155	3	38	38	NUM
futech-532	155	4	-	-	SYM
futech-532	155	5	46	46	NUM
futech-532	155	6	42	42	NUM
futech-532	155	7	figure	figure	NOUN
futech-532	155	8	2	2	NUM
futech-532	155	9	illustrates	illustrate	VERB
futech-532	155	10	the	the	DET
futech-532	155	11	classification	classification	NOUN
futech-532	155	12	accuracy	accuracy	NOUN
futech-532	155	13	of	of	ADP
futech-532	155	14	four	four	NUM
futech-532	155	15	machine	machine	NOUN
futech-532	155	16	learning	learning	NOUN
futech-532	155	17	models	model	NOUN
futech-532	155	18	—	—	PUNCT
futech-532	155	19	random	random	ADJ
futech-532	155	20	forest	forest	NOUN
futech-532	155	21	,	,	PUNCT
futech-532	155	22	gradient	gradient	NOUN
futech-532	155	23	boosting	boosting	NOUN
futech-532	155	24	,	,	PUNCT
futech-532	155	25	adaboost	adaboost	ADV
futech-532	155	26	,	,	PUNCT
futech-532	155	27	and	and	CCONJ
futech-532	155	28	stacked	stack	VERB
futech-532	155	29	ensemble	ensemble	ADJ
futech-532	155	30	evaluated	evaluate	VERB
futech-532	155	31	on	on	ADP
futech-532	155	32	cm1	cm1	PROPN
futech-532	155	33	,	,	PUNCT
futech-532	155	34	pc1	pc1	PROPN
futech-532	155	35	,	,	PUNCT
futech-532	155	36	jm1	jm1	PROPN
futech-532	155	37	,	,	PUNCT
futech-532	155	38	and	and	CCONJ
futech-532	155	39	kc1	kc1	PROPN
futech-532	155	40	datasets	dataset	NOUN
futech-532	155	41	.	.	PUNCT
futech-532	156	1	stacked	stack	VERB
futech-532	156	2	ensemble	ensemble	PROPN
futech-532	156	3	performed	perform	VERB
futech-532	156	4	the	the	DET
futech-532	156	5	best	good	ADJ
futech-532	156	6	and	and	CCONJ
futech-532	156	7	had	have	VERB
futech-532	156	8	the	the	DET
futech-532	156	9	maximum	maximum	ADJ
futech-532	156	10	accuracy	accuracy	NOUN
futech-532	156	11	in	in	ADP
futech-532	156	12	all	all	DET
futech-532	156	13	datasets	dataset	NOUN
futech-532	156	14	,	,	PUNCT
futech-532	156	15	which	which	PRON
futech-532	156	16	confirms	confirm	VERB
futech-532	156	17	its	its	PRON
futech-532	156	18	efficiency	efficiency	NOUN
futech-532	156	19	.	.	PUNCT
futech-532	157	1	the	the	DET
futech-532	157	2	performance	performance	NOUN
futech-532	157	3	trend	trend	NOUN
futech-532	157	4	also	also	ADV
futech-532	157	5	indicates	indicate	VERB
futech-532	157	6	relatively	relatively	ADV
futech-532	157	7	lower	low	ADJ
futech-532	157	8	precision	precision	NOUN
futech-532	157	9	scores	score	NOUN
futech-532	157	10	on	on	ADP
futech-532	157	11	jm1	jm1	ADJ
futech-532	157	12	and	and	CCONJ
futech-532	157	13	greater	great	ADJ
futech-532	157	14	stability	stability	NOUN
futech-532	157	15	on	on	ADP
futech-532	157	16	cm1	cm1	PROPN
futech-532	157	17	and	and	CCONJ
futech-532	157	18	kc1	kc1	PROPN
futech-532	157	19	datasets	dataset	NOUN
futech-532	157	20	.	.	PUNCT
futech-532	158	1	table	table	NOUN
futech-532	158	2	2	2	NUM
futech-532	158	3	.	.	PUNCT
futech-532	158	4	precision	precision	NOUN
futech-532	158	5	scores	score	NOUN
futech-532	158	6	across	across	ADP
futech-532	158	7	datasets	dataset	NOUN
futech-532	158	8	(	(	PUNCT
futech-532	158	9	sample	sample	NOUN
futech-532	158	10	size	size	NOUN
futech-532	158	11	=	=	SYM
futech-532	158	12	500	500	NUM
futech-532	158	13	)	)	PUNCT
futech-532	158	14	4.3	4.3	NUM
futech-532	158	15	recalling	recall	VERB
futech-532	158	16	performance	performance	NOUN
futech-532	158	17	table	table	NOUN
futech-532	158	18	3	3	NUM
futech-532	158	19	gives	give	VERB
futech-532	158	20	recall	recall	NOUN
futech-532	158	21	values	value	NOUN
futech-532	158	22	,	,	PUNCT
futech-532	158	23	which	which	PRON
futech-532	158	24	are	be	AUX
futech-532	158	25	an	an	DET
futech-532	158	26	indication	indication	NOUN
futech-532	158	27	of	of	ADP
futech-532	158	28	the	the	DET
futech-532	158	29	sensitivity	sensitivity	NOUN
futech-532	158	30	of	of	ADP
futech-532	158	31	the	the	DET
futech-532	158	32	models	model	NOUN
futech-532	158	33	to	to	ADP
futech-532	158	34	the	the	DET
futech-532	158	35	defective	defective	ADJ
futech-532	158	36	class	class	NOUN
futech-532	158	37	.	.	PUNCT
futech-532	159	1	the	the	DET
futech-532	159	2	ensemble	ensemble	ADJ
futech-532	159	3	had	have	VERB
futech-532	159	4	the	the	DET
futech-532	159	5	best	good	ADJ
futech-532	159	6	recall	recall	NOUN
futech-532	159	7	in	in	ADP
futech-532	159	8	all	all	DET
futech-532	159	9	the	the	DET
futech-532	159	10	datasets	dataset	NOUN
futech-532	159	11	,	,	PUNCT
futech-532	159	12	with	with	ADP
futech-532	159	13	the	the	DET
futech-532	159	14	highest	high	ADJ
futech-532	159	15	recall	recall	NOUN
futech-532	159	16	being	be	AUX
futech-532	159	17	0.84	0.84	NUM
futech-532	159	18	in	in	ADP
futech-532	159	19	cm1	cm1	PROPN
futech-532	159	20	and	and	CCONJ
futech-532	159	21	0.82	0.82	NUM
futech-532	159	22	in	in	ADP
futech-532	159	23	kc1	kc1	PROPN
futech-532	159	24	.	.	PUNCT
futech-532	160	1	the	the	DET
futech-532	160	2	performance	performance	NOUN
futech-532	160	3	of	of	ADP
futech-532	160	4	the	the	DET
futech-532	160	5	smote	smote	NOUN
futech-532	160	6	-	-	PUNCT
futech-532	160	7	based	base	VERB
futech-532	160	8	strategy	strategy	NOUN
futech-532	160	9	of	of	ADP
futech-532	160	10	class	class	NOUN
futech-532	160	11	balancing	balancing	NOUN
futech-532	160	12	in	in	ADP
futech-532	160	13	terms	term	NOUN
futech-532	160	14	of	of	ADP
futech-532	160	15	high	high	ADJ
futech-532	160	16	recall	recall	NOUN
futech-532	160	17	scores	score	NOUN
futech-532	160	18	justified	justify	VERB
futech-532	160	19	the	the	DET
futech-532	160	20	approach	approach	NOUN
futech-532	160	21	and	and	CCONJ
futech-532	160	22	proved	prove	VERB
futech-532	160	23	the	the	DET
futech-532	160	24	effectiveness	effectiveness	NOUN
futech-532	160	25	of	of	ADP
futech-532	160	26	the	the	DET
futech-532	160	27	ensemble	ensemble	ADJ
futech-532	160	28	in	in	ADP
futech-532	160	29	reducing	reduce	VERB
futech-532	160	30	the	the	DET
futech-532	160	31	false	false	ADJ
futech-532	160	32	-	-	PUNCT
futech-532	160	33	negative	negative	ADJ
futech-532	160	34	rate	rate	NOUN
futech-532	160	35	.	.	PUNCT
futech-532	161	1	table	table	NOUN
futech-532	161	2	3	3	NUM
futech-532	161	3	.	.	PUNCT
futech-532	161	4	recall	recall	NOUN
futech-532	161	5	scores	score	NOUN
futech-532	161	6	across	across	ADP
futech-532	161	7	datasets	dataset	NOUN
futech-532	161	8	(	(	PUNCT
futech-532	161	9	sample	sample	NOUN
futech-532	161	10	size	size	NOUN
futech-532	161	11	=	=	SYM
futech-532	161	12	500	500	NUM
futech-532	161	13	)	)	PUNCT
futech-532	161	14	figure	figure	NOUN
futech-532	161	15	2	2	NUM
futech-532	161	16	.	.	PUNCT
futech-532	161	17	comparing	compare	VERB
futech-532	161	18	model	model	NOUN
futech-532	161	19	accuracy	accuracy	NOUN
futech-532	161	20	across	across	ADP
futech-532	161	21	datasets	dataset	NOUN
futech-532	161	22	figure	figure	VERB
futech-532	161	23	3	3	NUM
futech-532	161	24	demonstrates	demonstrate	VERB
futech-532	161	25	the	the	DET
futech-532	161	26	better	well	ADJ
futech-532	161	27	classification	classification	NOUN
futech-532	161	28	performance	performance	NOUN
futech-532	161	29	of	of	ADP
futech-532	161	30	random	random	ADJ
futech-532	161	31	forest	forest	NOUN
futech-532	161	32	,	,	PUNCT
futech-532	161	33	gradient	gradient	NOUN
futech-532	161	34	boosting	boosting	NOUN
futech-532	161	35	,	,	PUNCT
futech-532	161	36	adaboost	adaboost	ADV
futech-532	161	37	,	,	PUNCT
futech-532	161	38	and	and	CCONJ
futech-532	161	39	stacked	stack	VERB
futech-532	161	40	ensemble	ensemble	ADJ
futech-532	161	41	models	model	NOUN
futech-532	161	42	on	on	ADP
futech-532	161	43	cm1	cm1	PROPN
futech-532	161	44	,	,	PUNCT
futech-532	161	45	pc1	pc1	PROPN
futech-532	161	46	,	,	PUNCT
futech-532	161	47	jm1	jm1	PROPN
futech-532	161	48	,	,	PUNCT
futech-532	161	49	and	and	CCONJ
futech-532	162	1	kc1	kc1	PROPN
futech-532	162	2	datasets	dataset	NOUN
futech-532	162	3	.	.	PUNCT
futech-532	163	1	the	the	DET
futech-532	163	2	stacked	stack	VERB
futech-532	163	3	ensemble	ensemble	ADJ
futech-532	163	4	once	once	ADV
futech-532	163	5	more	more	ADV
futech-532	163	6	scored	score	VERB
futech-532	163	7	the	the	DET
futech-532	163	8	best	good	ADJ
futech-532	163	9	,	,	PUNCT
futech-532	163	10	particularly	particularly	ADV
futech-532	163	11	on	on	ADP
futech-532	163	12	cm1	cm1	PROPN
futech-532	163	13	(	(	PUNCT
futech-532	163	14	0.84	0.84	NUM
futech-532	163	15	)	)	PUNCT
futech-532	163	16	and	and	CCONJ
futech-532	163	17	pc1	pc1	PROPN
futech-532	163	18	(	(	PUNCT
futech-532	163	19	0.81	0.81	NUM
futech-532	163	20	)	)	PUNCT
futech-532	163	21	,	,	PUNCT
futech-532	163	22	and	and	CCONJ
futech-532	163	23	has	have	AUX
futech-532	163	24	once	once	ADV
futech-532	163	25	again	again	ADV
futech-532	163	26	demonstrated	demonstrate	VERB
futech-532	163	27	the	the	DET
futech-532	163	28	predictive	predictive	ADJ
futech-532	163	29	advantage	advantage	NOUN
futech-532	163	30	on	on	ADP
futech-532	163	31	a	a	DET
futech-532	163	32	variety	variety	NOUN
futech-532	163	33	of	of	ADP
futech-532	163	34	software	software	NOUN
futech-532	163	35	defect	defect	NOUN
futech-532	163	36	datasets	dataset	NOUN
futech-532	163	37	.	.	PUNCT
futech-532	164	1	4.4	4.4	NUM
futech-532	164	2	f1	f1	ADJ
futech-532	164	3	-	-	PUNCT
futech-532	164	4	score	score	NOUN
futech-532	164	5	comparison	comparison	NOUN
futech-532	164	6	table	table	NOUN
futech-532	164	7	4	4	NUM
futech-532	164	8	f1	f1	NOUN
futech-532	164	9	-	-	PUNCT
futech-532	164	10	scores	score	NOUN
futech-532	164	11	give	give	VERB
futech-532	164	12	a	a	DET
futech-532	164	13	harmonic	harmonic	ADJ
futech-532	164	14	compromise	compromise	NOUN
futech-532	164	15	between	between	ADP
futech-532	164	16	precision	precision	NOUN
futech-532	164	17	and	and	CCONJ
futech-532	164	18	recall	recall	NOUN
futech-532	164	19	.	.	PUNCT
futech-532	165	1	throughout	throughout	ADP
futech-532	165	2	the	the	DET
futech-532	165	3	datasets	dataset	NOUN
futech-532	165	4	,	,	PUNCT
futech-532	165	5	the	the	DET
futech-532	165	6	ensemble	ensemble	ADJ
futech-532	165	7	received	receive	VERB
futech-532	165	8	better	well	ADJ
futech-532	165	9	scores	score	NOUN
futech-532	165	10	,	,	PUNCT
futech-532	165	11	including	include	VERB
futech-532	165	12	0.82	0.82	NUM
futech-532	165	13	on	on	ADP
futech-532	165	14	cm1	cm1	PROPN
futech-532	165	15	and	and	CCONJ
futech-532	165	16	0.80	0.80	NUM
futech-532	165	17	on	on	ADP
futech-532	165	18	kc1	kc1	PROPN
futech-532	165	19	.	.	PUNCT
futech-532	166	1	these	these	DET
futech-532	166	2	scores	score	NOUN
futech-532	166	3	highlighted	highlight	VERB
futech-532	166	4	the	the	DET
futech-532	166	5	overall	overall	ADJ
futech-532	166	6	performance	performance	NOUN
futech-532	166	7	of	of	ADP
futech-532	166	8	the	the	DET
futech-532	166	9	model	model	NOUN
futech-532	166	10	,	,	PUNCT
futech-532	166	11	which	which	PRON
futech-532	166	12	was	be	AUX
futech-532	166	13	well	well	ADV
futech-532	166	14	-	-	PUNCT
futech-532	166	15	rounded	rounded	ADJ
futech-532	166	16	,	,	PUNCT
futech-532	166	17	meaning	mean	VERB
futech-532	166	18	that	that	SCONJ
futech-532	166	19	it	it	PRON
futech-532	166	20	learned	learn	VERB
futech-532	166	21	well	well	INTJ
futech-532	166	22	the	the	DET
futech-532	166	23	patterns	pattern	NOUN
futech-532	166	24	of	of	ADP
futech-532	166	25	defects	defect	NOUN
futech-532	166	26	irrespective	irrespective	ADV
futech-532	166	27	of	of	ADP
futech-532	166	28	the	the	DET
futech-532	166	29	small	small	ADJ
futech-532	166	30	dataset	dataset	NOUN
futech-532	166	31	size	size	NOUN
futech-532	166	32	.	.	PUNCT
futech-532	167	1	figure	figure	NOUN
futech-532	167	2	4	4	NUM
futech-532	167	3	shows	show	VERB
futech-532	167	4	the	the	DET
futech-532	167	5	heatmap	heatmap	NOUN
futech-532	167	6	that	that	PRON
futech-532	167	7	represents	represent	VERB
futech-532	167	8	the	the	DET
futech-532	167	9	accuracy	accuracy	NOUN
futech-532	167	10	of	of	ADP
futech-532	167	11	four	four	NUM
futech-532	167	12	machine	machine	NOUN
futech-532	167	13	learning	learning	NOUN
futech-532	167	14	models	model	NOUN
futech-532	167	15	on	on	ADP
futech-532	167	16	the	the	DET
futech-532	167	17	cm1	cm1	PROPN
futech-532	167	18	,	,	PUNCT
futech-532	167	19	pc1	pc1	PROPN
futech-532	167	20	,	,	PUNCT
futech-532	167	21	jm1	jm1	PROPN
futech-532	167	22	,	,	PUNCT
futech-532	167	23	and	and	CCONJ
futech-532	167	24	kc1	kc1	PROPN
futech-532	167	25	datasets	dataset	NOUN
futech-532	167	26	.	.	PUNCT
futech-532	168	1	darker	dark	ADJ
futech-532	168	2	shades	shade	NOUN
futech-532	168	3	indicate	indicate	VERB
futech-532	168	4	higher	high	ADJ
futech-532	168	5	performance	performance	NOUN
futech-532	168	6	,	,	PUNCT
futech-532	168	7	clearly	clearly	ADV
futech-532	168	8	emphasizing	emphasize	VERB
futech-532	168	9	the	the	DET
futech-532	168	10	superior	superior	ADJ
futech-532	168	11	accuracy	accuracy	NOUN
futech-532	168	12	of	of	ADP
futech-532	168	13	the	the	DET
futech-532	168	14	stacked	stack	VERB
futech-532	168	15	ensemble	ensemble	ADJ
futech-532	168	16	model	model	NOUN
futech-532	168	17	.	.	PUNCT
futech-532	169	1	visual	visual	ADJ
futech-532	169	2	comparison	comparison	NOUN
futech-532	169	3	facilitates	facilitate	VERB
futech-532	169	4	quick	quick	ADJ
futech-532	169	5	interpretation	interpretation	NOUN
futech-532	169	6	of	of	ADP
futech-532	169	7	model	model	NOUN
futech-532	169	8	effectiveness	effectiveness	NOUN
futech-532	169	9	across	across	ADP
futech-532	169	10	varying	vary	VERB
futech-532	169	11	dataset	dataset	NOUN
futech-532	169	12	complexities	complexity	NOUN
futech-532	169	13	.	.	PUNCT
futech-532	170	1	table	table	NOUN
futech-532	170	2	4	4	NUM
futech-532	170	3	.	.	PUNCT
futech-532	171	1	f1	f1	NOUN
futech-532	171	2	-	-	PUNCT
futech-532	171	3	score	score	NOUN
futech-532	171	4	across	across	ADP
futech-532	171	5	datasets	dataset	NOUN
futech-532	171	6	(	(	PUNCT
futech-532	171	7	sample	sample	NOUN
futech-532	171	8	size	size	NOUN
futech-532	171	9	=	=	SYM
futech-532	171	10	500	500	NUM
futech-532	171	11	)	)	PUNCT
futech-532	171	12	dataset	dataset	VERB
futech-532	171	13	random	random	ADJ
futech-532	171	14	forest	forest	NOUN
futech-532	171	15	gradient	gradient	NOUN
futech-532	171	16	boosting	boost	VERB
futech-532	171	17	adaboost	adaboost	ADV
futech-532	171	18	stacked	stack	VERB
futech-532	171	19	ensemble	ensemble	ADJ
futech-532	171	20	cm1	cm1	PROPN
futech-532	171	21	0.76	0.76	NUM
futech-532	171	22	0.75	0.75	NUM
futech-532	171	23	0.74	0.74	NUM
futech-532	171	24	0.80	0.80	NUM
futech-532	171	25	pc1	pc1	NOUN
futech-532	171	26	0.72	0.72	NUM
futech-532	171	27	0.71	0.71	NUM
futech-532	171	28	0.69	0.69	NUM
futech-532	171	29	0.78	0.78	NUM
futech-532	171	30	jm1	jm1	NOUN
futech-532	171	31	0.68	0.68	NUM
futech-532	171	32	0.67	0.67	NUM
futech-532	171	33	0.65	0.65	NUM
futech-532	171	34	0.74	0.74	NUM
futech-532	171	35	kc1	kc1	NOUN
futech-532	171	36	0.74	0.74	NUM
futech-532	171	37	0.72	0.72	NUM
futech-532	171	38	0.70	0.70	NUM
futech-532	171	39	0.78	0.78	NUM
futech-532	171	40	dataset	dataset	VERB
futech-532	171	41	random	random	ADJ
futech-532	171	42	forest	forest	NOUN
futech-532	171	43	gradient	gradient	NOUN
futech-532	171	44	boosting	boost	VERB
futech-532	171	45	adaboost	adaboost	ADV
futech-532	171	46	stacked	stack	VERB
futech-532	171	47	ensemble	ensemble	ADJ
futech-532	171	48	cm1	cm1	PROPN
futech-532	171	49	0.78	0.78	NUM
futech-532	171	50	0.77	0.77	NUM
futech-532	171	51	0.76	0.76	NUM
futech-532	171	52	0.84	0.84	NUM
futech-532	171	53	pc1	pc1	NOUN
futech-532	171	54	0.74	0.74	NUM
futech-532	171	55	0.73	0.73	NUM
futech-532	171	56	0.71	0.71	NUM
futech-532	171	57	0.81	0.81	NUM
futech-532	171	58	jm1	jm1	NOUN
futech-532	171	59	0.70	0.70	NUM
futech-532	171	60	0.69	0.69	NUM
futech-532	171	61	0.67	0.67	NUM
futech-532	171	62	0.79	0.79	NUM
futech-532	171	63	kc1	kc1	NOUN
futech-532	171	64	0.76	0.76	NUM
futech-532	171	65	0.75	0.75	NUM
futech-532	171	66	0.73	0.73	NUM
futech-532	171	67	0.82	0.82	NUM
futech-532	171	68	dataset	dataset	VERB
futech-532	171	69	random	random	ADJ
futech-532	171	70	forest	forest	NOUN
futech-532	171	71	gradient	gradient	NOUN
futech-532	171	72	boosting	boost	VERB
futech-532	171	73	adaboost	adaboost	ADV
futech-532	171	74	stacked	stack	VERB
futech-532	171	75	ensemble	ensemble	ADJ
futech-532	171	76	cm1	cm1	PROPN
futech-532	171	77	0.77	0.77	NUM
futech-532	171	78	0.76	0.76	NUM
futech-532	171	79	0.75	0.75	NUM
futech-532	171	80	0.82	0.82	NUM
futech-532	171	81	pc1	pc1	PROPN
futech-532	171	82	0.73	0.73	NUM
futech-532	171	83	0.72	0.72	NUM
futech-532	171	84	0.70	0.70	NUM
futech-532	171	85	0.79	0.79	NUM
futech-532	171	86	jm1	jm1	NOUN
futech-532	171	87	0.69	0.69	NUM
futech-532	171	88	0.68	0.68	NUM
futech-532	171	89	0.66	0.66	NUM
futech-532	171	90	0.76	0.76	NUM
futech-532	171	91	kc1	kc1	NOUN
futech-532	171	92	0.75	0.75	NUM
futech-532	171	93	0.73	0.73	NUM
futech-532	171	94	0.72	0.72	NUM
futech-532	171	95	0.80	0.80	NUM
futech-532	171	96	pk	pk	NOUN
futech-532	171	97	.	.	PROPN
futech-532	171	98	tamrakar	tamrakar	PROPN
futech-532	171	99	et	et	PROPN
futech-532	171	100	al	al	PROPN
futech-532	171	101	.	.	PROPN
futech-532	171	102	/future	/future	PUNCT
futech-532	171	103	technology	technology	PROPN
futech-532	171	104	february	february	PROPN
futech-532	171	105	2026|	2026|	NUM
futech-532	171	106	volume	volume	NOUN
futech-532	171	107	05	05	NUM
futech-532	172	1	|	|	ADV
futech-532	172	2	issue	issue	NOUN
futech-532	172	3	01	01	NUM
futech-532	173	1	|	|	ADV
futech-532	173	2	pages	page	VERB
futech-532	173	3	38	38	NUM
futech-532	173	4	-	-	SYM
futech-532	173	5	46	46	NUM
futech-532	173	6	43	43	NUM
futech-532	173	7	figure	figure	NOUN
futech-532	173	8	4	4	NUM
futech-532	173	9	.	.	PUNCT
futech-532	173	10	model	model	NOUN
futech-532	173	11	accuracy	accuracy	NOUN
futech-532	173	12	on	on	ADP
futech-532	173	13	benchmark	benchmark	NOUN
futech-532	173	14	datasets	dataset	NOUN
futech-532	173	15	4.5	4.5	NUM
futech-532	173	16	model	model	NOUN
futech-532	173	17	accuracy	accuracy	NOUN
futech-532	173	18	table	table	NOUN
futech-532	173	19	5	5	NUM
futech-532	173	20	presents	present	VERB
futech-532	173	21	the	the	DET
futech-532	173	22	accuracy	accuracy	NOUN
futech-532	173	23	comparison	comparison	NOUN
futech-532	173	24	of	of	ADP
futech-532	173	25	four	four	NUM
futech-532	173	26	machine	machine	NOUN
futech-532	173	27	learning	learning	NOUN
futech-532	173	28	models	model	NOUN
futech-532	173	29	across	across	ADP
futech-532	173	30	four	four	NUM
futech-532	173	31	benchmark	benchmark	NOUN
futech-532	173	32	datasets	dataset	NOUN
futech-532	173	33	using	use	VERB
futech-532	173	34	a	a	DET
futech-532	173	35	sample	sample	NOUN
futech-532	173	36	size	size	NOUN
futech-532	173	37	of	of	ADP
futech-532	173	38	500	500	NUM
futech-532	173	39	modules	module	NOUN
futech-532	173	40	.	.	PUNCT
futech-532	174	1	the	the	DET
futech-532	174	2	stacked	stack	VERB
futech-532	174	3	ensemble	ensemble	ADJ
futech-532	174	4	model	model	NOUN
futech-532	174	5	consistently	consistently	ADV
futech-532	174	6	achieved	achieve	VERB
futech-532	174	7	the	the	DET
futech-532	174	8	highest	high	ADJ
futech-532	174	9	accuracy	accuracy	NOUN
futech-532	174	10	on	on	ADP
futech-532	174	11	all	all	DET
futech-532	174	12	datasets	dataset	NOUN
futech-532	174	13	,	,	PUNCT
futech-532	174	14	ranging	range	VERB
futech-532	174	15	from	from	ADP
futech-532	174	16	0.82	0.82	NUM
futech-532	174	17	(	(	PUNCT
futech-532	174	18	jm1	jm1	PROPN
futech-532	174	19	)	)	PUNCT
futech-532	174	20	to	to	ADP
futech-532	174	21	0.88	0.88	NUM
futech-532	174	22	(	(	PUNCT
futech-532	174	23	cm1	cm1	PROPN
futech-532	174	24	)	)	PUNCT
futech-532	174	25	.	.	PUNCT
futech-532	175	1	this	this	DET
futech-532	175	2	performance	performance	NOUN
futech-532	175	3	indicates	indicate	VERB
futech-532	175	4	superior	superior	ADJ
futech-532	175	5	generalization	generalization	NOUN
futech-532	175	6	and	and	CCONJ
futech-532	175	7	predictive	predictive	ADJ
futech-532	175	8	capability	capability	NOUN
futech-532	175	9	compared	compare	VERB
futech-532	175	10	to	to	ADP
futech-532	175	11	individual	individual	ADJ
futech-532	175	12	models	model	NOUN
futech-532	175	13	.	.	PUNCT
futech-532	176	1	the	the	DET
futech-532	176	2	results	result	NOUN
futech-532	176	3	highlight	highlight	VERB
futech-532	176	4	the	the	DET
futech-532	176	5	effectiveness	effectiveness	NOUN
futech-532	176	6	of	of	ADP
futech-532	176	7	integrating	integrate	VERB
futech-532	176	8	diverse	diverse	ADJ
futech-532	176	9	base	base	NOUN
futech-532	176	10	learners	learner	NOUN
futech-532	176	11	through	through	ADP
futech-532	176	12	stacking	stack	VERB
futech-532	176	13	to	to	PART
futech-532	176	14	enhance	enhance	VERB
futech-532	176	15	classification	classification	NOUN
futech-532	176	16	accuracy	accuracy	NOUN
futech-532	176	17	in	in	ADP
futech-532	176	18	software	software	NOUN
futech-532	176	19	defect	defect	NOUN
futech-532	176	20	prediction	prediction	NOUN
futech-532	176	21	tasks	task	NOUN
futech-532	176	22	.	.	PUNCT
futech-532	177	1	beyond	beyond	ADP
futech-532	177	2	overall	overall	ADJ
futech-532	177	3	accuracy	accuracy	NOUN
futech-532	177	4	,	,	PUNCT
futech-532	177	5	the	the	DET
futech-532	177	6	stacked	stack	VERB
futech-532	177	7	ensemble	ensemble	PROPN
futech-532	177	8	demonstrated	demonstrate	VERB
futech-532	177	9	a	a	DET
futech-532	177	10	balanced	balanced	ADJ
futech-532	177	11	precision	precision	NOUN
futech-532	177	12	–	–	PUNCT
futech-532	177	13	recall	recall	NOUN
futech-532	177	14	trade	trade	NOUN
futech-532	177	15	-	-	PUNCT
futech-532	177	16	off	off	NOUN
futech-532	177	17	across	across	ADP
futech-532	177	18	datasets	dataset	NOUN
futech-532	177	19	,	,	PUNCT
futech-532	177	20	consistently	consistently	ADV
futech-532	177	21	improving	improve	VERB
futech-532	177	22	f1scores	f1score	NOUN
futech-532	177	23	and	and	CCONJ
futech-532	177	24	model	model	NOUN
futech-532	177	25	stability	stability	NOUN
futech-532	177	26	without	without	ADP
futech-532	177	27	increasing	increase	VERB
futech-532	177	28	false	false	ADJ
futech-532	177	29	positives	positive	NOUN
futech-532	177	30	.	.	PUNCT
futech-532	178	1	4.6	4.6	NUM
futech-532	178	2	hyperparameter	hyperparameter	NOUN
futech-532	178	3	optimization	optimization	NOUN
futech-532	178	4	table	table	NOUN
futech-532	178	5	6	6	NUM
futech-532	178	6	presents	present	VERB
futech-532	178	7	the	the	DET
futech-532	178	8	grid	grid	NOUN
futech-532	178	9	search	search	NOUN
futech-532	178	10	-	-	PUNCT
futech-532	178	11	based	base	VERB
futech-532	178	12	tuning	tuning	NOUN
futech-532	178	13	,	,	PUNCT
futech-532	178	14	which	which	PRON
futech-532	178	15	resulted	result	VERB
futech-532	178	16	in	in	ADP
futech-532	178	17	observable	observable	ADJ
futech-532	178	18	performance	performance	NOUN
futech-532	178	19	gains	gain	NOUN
futech-532	178	20	between	between	ADP
futech-532	178	21	2	2	NUM
futech-532	178	22	%	%	NOUN
futech-532	178	23	to	to	PART
futech-532	178	24	5	5	NUM
futech-532	178	25	%	%	NOUN
futech-532	178	26	across	across	ADP
futech-532	178	27	all	all	DET
futech-532	178	28	models	model	NOUN
futech-532	178	29	.	.	PUNCT
futech-532	179	1	for	for	ADP
futech-532	179	2	example	example	NOUN
futech-532	179	3	,	,	PUNCT
futech-532	179	4	the	the	DET
futech-532	179	5	optimal	optimal	ADJ
futech-532	179	6	number	number	NOUN
futech-532	179	7	of	of	ADP
futech-532	179	8	estimators	estimator	NOUN
futech-532	179	9	in	in	ADP
futech-532	179	10	random	random	ADJ
futech-532	179	11	forest	forest	NOUN
futech-532	179	12	was	be	AUX
futech-532	179	13	120	120	NUM
futech-532	179	14	,	,	PUNCT
futech-532	179	15	and	and	CCONJ
futech-532	179	16	the	the	DET
futech-532	179	17	best	good	ADJ
futech-532	179	18	learning	learning	NOUN
futech-532	179	19	rate	rate	NOUN
futech-532	179	20	for	for	ADP
futech-532	179	21	gradient	gradient	ADJ
futech-532	179	22	boosting	boosting	NOUN
futech-532	179	23	was	be	AUX
futech-532	179	24	0.07	0.07	NUM
futech-532	179	25	.	.	PUNCT
futech-532	180	1	logistic	logistic	ADJ
futech-532	180	2	regression	regression	NOUN
futech-532	180	3	was	be	AUX
futech-532	180	4	selected	select	VERB
futech-532	180	5	as	as	ADP
futech-532	180	6	the	the	DET
futech-532	180	7	meta	meta	ADJ
futech-532	180	8	-	-	PUNCT
futech-532	180	9	learner	learner	NOUN
futech-532	180	10	in	in	ADP
futech-532	180	11	the	the	DET
futech-532	180	12	stacked	stack	VERB
futech-532	180	13	ensemble	ensemble	ADJ
futech-532	180	14	due	due	ADP
futech-532	180	15	to	to	ADP
futech-532	180	16	its	its	PRON
futech-532	180	17	ability	ability	NOUN
futech-532	180	18	to	to	PART
futech-532	180	19	integrate	integrate	VERB
futech-532	180	20	base	base	NOUN
futech-532	180	21	model	model	NOUN
futech-532	180	22	predictions	prediction	NOUN
futech-532	180	23	without	without	ADP
futech-532	180	24	overfitting	overfitte	VERB
futech-532	180	25	effectively	effectively	ADV
futech-532	180	26	.	.	PUNCT
futech-532	181	1	table	table	NOUN
futech-532	181	2	5	5	NUM
futech-532	181	3	.	.	PUNCT
futech-532	181	4	comparative	comparative	ADJ
futech-532	181	5	accuracy	accuracy	NOUN
futech-532	181	6	of	of	ADP
futech-532	181	7	models	model	NOUN
futech-532	181	8	across	across	ADP
futech-532	181	9	datasets	dataset	NOUN
futech-532	181	10	(	(	PUNCT
futech-532	181	11	sample	sample	NOUN
futech-532	181	12	size	size	NOUN
futech-532	181	13	=	=	SYM
futech-532	181	14	500	500	NUM
futech-532	181	15	)	)	PUNCT
futech-532	181	16	table	table	NOUN
futech-532	181	17	6	6	NUM
futech-532	181	18	.	.	PUNCT
futech-532	181	19	optimized	optimize	VERB
futech-532	181	20	hyperparameters	hyperparameter	NOUN
futech-532	181	21	for	for	ADP
futech-532	181	22	machine	machine	NOUN
futech-532	181	23	learning	learning	NOUN
futech-532	181	24	models	model	NOUN
futech-532	181	25	via	via	ADP
futech-532	181	26	grid	grid	NOUN
futech-532	181	27	search	search	NOUN
futech-532	181	28	4.7	4.7	NUM
futech-532	181	29	statistical	statistical	ADJ
futech-532	181	30	significance	significance	NOUN
futech-532	181	31	testing	testing	NOUN
futech-532	181	32	paired	pair	VERB
futech-532	181	33	t	t	NOUN
futech-532	181	34	-	-	PUNCT
futech-532	181	35	tests	test	NOUN
futech-532	181	36	conducted	conduct	VERB
futech-532	181	37	between	between	ADP
futech-532	181	38	the	the	DET
futech-532	181	39	stacked	stack	VERB
futech-532	181	40	ensemble	ensemble	ADJ
futech-532	181	41	and	and	CCONJ
futech-532	181	42	each	each	DET
futech-532	181	43	baseline	baseline	NOUN
futech-532	181	44	model	model	NOUN
futech-532	181	45	revealed	reveal	VERB
futech-532	181	46	statistically	statistically	ADV
futech-532	181	47	significant	significant	ADJ
futech-532	181	48	improvements	improvement	NOUN
futech-532	181	49	(	(	PUNCT
futech-532	181	50	p	p	X
futech-532	181	51	<	<	X
futech-532	181	52	0.05	0.05	NUM
futech-532	181	53	)	)	PUNCT
futech-532	181	54	in	in	ADP
futech-532	181	55	all	all	DET
futech-532	181	56	four	four	NUM
futech-532	181	57	metrics	metric	NOUN
futech-532	181	58	across	across	ADP
futech-532	181	59	the	the	DET
futech-532	181	60	datasets	dataset	NOUN
futech-532	181	61	,	,	PUNCT
futech-532	181	62	as	as	SCONJ
futech-532	181	63	mentioned	mention	VERB
futech-532	181	64	in	in	ADP
futech-532	181	65	table	table	NOUN
futech-532	181	66	7	7	NUM
futech-532	181	67	.	.	PUNCT
futech-532	182	1	these	these	DET
futech-532	182	2	findings	finding	NOUN
futech-532	182	3	confirm	confirm	VERB
futech-532	182	4	that	that	SCONJ
futech-532	182	5	performance	performance	NOUN
futech-532	182	6	enhancements	enhancement	NOUN
futech-532	182	7	were	be	AUX
futech-532	182	8	not	not	PART
futech-532	182	9	due	due	ADJ
futech-532	182	10	to	to	ADP
futech-532	182	11	random	random	ADJ
futech-532	182	12	variance	variance	NOUN
futech-532	182	13	but	but	CCONJ
futech-532	182	14	were	be	AUX
futech-532	182	15	attributable	attributable	ADJ
futech-532	182	16	to	to	ADP
futech-532	182	17	methodological	methodological	ADJ
futech-532	182	18	rigor	rigor	NOUN
futech-532	182	19	and	and	CCONJ
futech-532	182	20	architectural	architectural	ADJ
futech-532	182	21	design	design	NOUN
futech-532	182	22	.	.	PUNCT
futech-532	183	1	5	5	X
futech-532	183	2	.	.	X
futech-532	183	3	discussion	discussion	NOUN
futech-532	183	4	findings	finding	NOUN
futech-532	183	5	from	from	ADP
futech-532	183	6	the	the	DET
futech-532	183	7	study	study	NOUN
futech-532	183	8	demonstrated	demonstrate	VERB
futech-532	183	9	that	that	SCONJ
futech-532	183	10	the	the	DET
futech-532	183	11	proposed	propose	VERB
futech-532	183	12	stacked	stack	VERB
futech-532	183	13	ensemble	ensemble	ADJ
futech-532	183	14	model	model	NOUN
futech-532	183	15	consistently	consistently	ADV
futech-532	183	16	outperformed	outperform	VERB
futech-532	183	17	individual	individual	ADJ
futech-532	183	18	classifiers	classifier	NOUN
futech-532	183	19	,	,	PUNCT
futech-532	183	20	random	random	ADJ
futech-532	183	21	forest	forest	NOUN
futech-532	183	22	,	,	PUNCT
futech-532	183	23	gradient	gradient	ADJ
futech-532	183	24	boosting	boosting	NOUN
futech-532	183	25	,	,	PUNCT
futech-532	183	26	and	and	CCONJ
futech-532	183	27	adaboost	adaboost	ADV
futech-532	183	28	,	,	PUNCT
futech-532	183	29	across	across	ADP
futech-532	183	30	all	all	DET
futech-532	183	31	four	four	NUM
futech-532	183	32	evaluated	evaluated	ADJ
futech-532	183	33	datasets	dataset	NOUN
futech-532	183	34	,	,	PUNCT
futech-532	183	35	even	even	ADV
futech-532	183	36	with	with	ADP
futech-532	183	37	a	a	DET
futech-532	183	38	reduced	reduced	ADJ
futech-532	183	39	and	and	CCONJ
futech-532	183	40	balanced	balanced	ADJ
futech-532	183	41	sample	sample	NOUN
futech-532	183	42	size	size	NOUN
futech-532	183	43	of	of	ADP
futech-532	183	44	500	500	NUM
futech-532	183	45	modules	module	NOUN
futech-532	183	46	.	.	PUNCT
futech-532	184	1	metrics	metric	NOUN
futech-532	184	2	such	such	ADJ
futech-532	184	3	as	as	ADP
futech-532	184	4	accuracy	accuracy	NOUN
futech-532	184	5	,	,	PUNCT
futech-532	184	6	precision	precision	NOUN
futech-532	184	7	,	,	PUNCT
futech-532	184	8	recall	recall	NOUN
futech-532	184	9	,	,	PUNCT
futech-532	184	10	and	and	CCONJ
futech-532	184	11	f1	f1	NOUN
futech-532	184	12	-	-	PUNCT
futech-532	184	13	score	score	NOUN
futech-532	184	14	all	all	PRON
futech-532	184	15	indicated	indicate	VERB
futech-532	184	16	dataset	dataset	VERB
futech-532	184	17	random	random	ADJ
futech-532	184	18	forest	forest	NOUN
futech-532	184	19	gradient	gradient	NOUN
futech-532	184	20	boosting	boost	VERB
futech-532	184	21	adaboost	adaboost	ADV
futech-532	184	22	stacked	stack	VERB
futech-532	184	23	ensemble	ensemble	ADJ
futech-532	184	24	cm1	cm1	PROPN
futech-532	184	25	0.83	0.83	NUM
futech-532	184	26	0.82	0.82	NUM
futech-532	184	27	0.81	0.81	NUM
futech-532	184	28	0.88	0.88	NUM
futech-532	184	29	pc1	pc1	NOUN
futech-532	184	30	0.80	0.80	NUM
futech-532	184	31	0.79	0.79	NUM
futech-532	184	32	0.77	0.77	NUM
futech-532	184	33	0.85	0.85	NUM
futech-532	185	1	jm1	jm1	NOUN
futech-532	186	1	0.76	0.76	NUM
futech-532	186	2	0.75	0.75	NUM
futech-532	186	3	0.74	0.74	NUM
futech-532	186	4	0.82	0.82	NUM
futech-532	186	5	kc1	kc1	NOUN
futech-532	186	6	0.81	0.81	NUM
futech-532	186	7	0.80	0.80	NUM
futech-532	186	8	0.78	0.78	NUM
futech-532	186	9	0.86	0.86	NUM
futech-532	186	10	model	model	NOUN
futech-532	186	11	hyperparameters	hyperparameter	NOUN
futech-532	186	12	tuned	tune	VERB
futech-532	186	13	optimal	optimal	ADJ
futech-532	186	14	values	value	NOUN
futech-532	186	15	selected	select	VERB
futech-532	186	16	random	random	ADJ
futech-532	186	17	forest	forest	NOUN
futech-532	186	18	estimators	estimator	NOUN
futech-532	186	19	,	,	PUNCT
futech-532	186	20	max	max	PROPN
futech-532	186	21	depth	depth	NOUN
futech-532	186	22	,	,	PUNCT
futech-532	186	23	min	min	NOUN
futech-532	186	24	samples	sample	NOUN
futech-532	186	25	split	split	VERB
futech-532	186	26	120	120	NUM
futech-532	186	27	estimators	estimator	NOUN
futech-532	186	28	,	,	PUNCT
futech-532	186	29	max	max	NOUN
futech-532	186	30	depth	depth	NOUN
futech-532	186	31	=	=	SYM
futech-532	186	32	20	20	NUM
futech-532	186	33	,	,	PUNCT
futech-532	186	34	min	min	NOUN
futech-532	186	35	split	split	NOUN
futech-532	186	36	=	=	SYM
futech-532	186	37	2	2	NUM
futech-532	186	38	gradient	gradient	NOUN
futech-532	186	39	boosting	boost	VERB
futech-532	186	40	learning	learning	NOUN
futech-532	186	41	rate	rate	NOUN
futech-532	186	42	,	,	PUNCT
futech-532	186	43	estimators	estimator	NOUN
futech-532	186	44	,	,	PUNCT
futech-532	186	45	max	max	NOUN
futech-532	186	46	depth	depth	NOUN
futech-532	186	47	learning	learning	NOUN
futech-532	186	48	rate	rate	NOUN
futech-532	187	1	=	=	NOUN
futech-532	187	2	0.07	0.07	NUM
futech-532	187	3	,	,	PUNCT
futech-532	187	4	150	150	NUM
futech-532	187	5	estimators	estimator	NOUN
futech-532	187	6	,	,	PUNCT
futech-532	187	7	max	max	NOUN
futech-532	187	8	depth	depth	NOUN
futech-532	187	9	=	=	NOUN
futech-532	187	10	4	4	NUM
futech-532	187	11	adaboost	adaboost	ADJ
futech-532	187	12	estimators	estimator	NOUN
futech-532	187	13	,	,	PUNCT
futech-532	187	14	learning	learn	VERB
futech-532	187	15	rate	rate	NOUN
futech-532	187	16	100	100	NUM
futech-532	187	17	estimators	estimator	NOUN
futech-532	187	18	,	,	PUNCT
futech-532	187	19	learning	learn	VERB
futech-532	187	20	rate	rate	NOUN
futech-532	187	21	=	=	SYM
futech-532	187	22	0.5	0.5	NUM
futech-532	187	23	stacked	stack	VERB
futech-532	187	24	ensemble	ensemble	ADJ
futech-532	187	25	base	base	NOUN
futech-532	187	26	models	model	NOUN
futech-532	187	27	:	:	PUNCT
futech-532	188	1	rf	rf	ADJ
futech-532	188	2	,	,	PUNCT
futech-532	188	3	gb	gb	PROPN
futech-532	188	4	,	,	PUNCT
futech-532	188	5	ab	ab	PROPN
futech-532	188	6	;	;	PUNCT
futech-532	188	7	meta	meta	ADJ
futech-532	188	8	-	-	PUNCT
futech-532	188	9	learner	learner	NOUN
futech-532	188	10	:	:	PUNCT
futech-532	188	11	logistic	logistic	ADJ
futech-532	188	12	regression	regression	NOUN
futech-532	188	13	c	c	NOUN
futech-532	188	14	=	=	SYM
futech-532	188	15	1.0	1.0	NUM
futech-532	188	16	,	,	PUNCT
futech-532	188	17	solver	solver	VERB
futech-532	188	18	=	=	SYM
futech-532	188	19	‘	'	PUNCT
futech-532	188	20	liblinear	liblinear	ADJ
futech-532	188	21	’	'	PUNCT
futech-532	188	22	figure	figure	NOUN
futech-532	188	23	3	3	NUM
futech-532	188	24	.	.	PUNCT
futech-532	188	25	depicting	depict	VERB
futech-532	188	26	enhanced	enhanced	ADJ
futech-532	188	27	model	model	NOUN
futech-532	188	28	accuracy	accuracy	NOUN
futech-532	188	29	on	on	ADP
futech-532	188	30	the	the	DET
futech-532	188	31	benchmark	benchmark	ADJ
futech-532	188	32	dataset	dataset	NOUN
futech-532	188	33	pk	pk	PROPN
futech-532	189	1	.	.	PROPN
futech-532	189	2	tamrakar	tamrakar	PROPN
futech-532	189	3	et	et	PROPN
futech-532	189	4	al	al	PROPN
futech-532	189	5	.	.	PROPN
futech-532	189	6	/future	/future	PUNCT
futech-532	189	7	technology	technology	PROPN
futech-532	189	8	february	february	PROPN
futech-532	189	9	2026|	2026|	NUM
futech-532	189	10	volume	volume	NOUN
futech-532	189	11	05	05	NUM
futech-532	190	1	|	|	ADV
futech-532	190	2	issue	issue	NOUN
futech-532	190	3	01	01	NUM
futech-532	191	1	|	|	ADV
futech-532	191	2	pages	page	VERB
futech-532	191	3	38	38	NUM
futech-532	191	4	-	-	SYM
futech-532	191	5	46	46	NUM
futech-532	191	6	44	44	NUM
futech-532	191	7	superior	superior	ADJ
futech-532	191	8	performance	performance	NOUN
futech-532	191	9	for	for	ADP
futech-532	191	10	the	the	DET
futech-532	191	11	ensemble	ensemble	ADJ
futech-532	191	12	model	model	NOUN
futech-532	191	13	,	,	PUNCT
futech-532	191	14	with	with	ADP
futech-532	191	15	the	the	DET
futech-532	191	16	highest	high	ADJ
futech-532	191	17	accuracy	accuracy	NOUN
futech-532	191	18	of	of	ADP
futech-532	191	19	0.88	0.88	NUM
futech-532	191	20	achieved	achieve	VERB
futech-532	191	21	on	on	ADP
futech-532	191	22	the	the	DET
futech-532	191	23	cm1	cm1	NOUN
futech-532	191	24	dataset	dataset	NOUN
futech-532	191	25	and	and	CCONJ
futech-532	191	26	the	the	DET
futech-532	191	27	lowest	low	ADJ
futech-532	191	28	yet	yet	CCONJ
futech-532	191	29	competitive	competitive	ADJ
futech-532	191	30	score	score	NOUN
futech-532	191	31	of	of	ADP
futech-532	191	32	0.82	0.82	NUM
futech-532	191	33	on	on	ADP
futech-532	191	34	jm1	jm1	PROPN
futech-532	191	35	.	.	PUNCT
futech-532	192	1	these	these	DET
futech-532	192	2	results	result	NOUN
futech-532	192	3	support	support	VERB
futech-532	192	4	the	the	DET
futech-532	192	5	effectiveness	effectiveness	NOUN
futech-532	192	6	of	of	ADP
futech-532	192	7	stacking	stack	VERB
futech-532	192	8	heterogeneous	heterogeneous	ADJ
futech-532	192	9	base	base	NOUN
futech-532	192	10	learners	learner	NOUN
futech-532	192	11	to	to	PART
futech-532	192	12	capture	capture	VERB
futech-532	192	13	diverse	diverse	ADJ
futech-532	192	14	predictive	predictive	ADJ
futech-532	192	15	signals	signal	NOUN
futech-532	192	16	,	,	PUNCT
futech-532	192	17	especially	especially	ADV
futech-532	192	18	when	when	SCONJ
futech-532	192	19	combined	combine	VERB
futech-532	192	20	with	with	ADP
futech-532	192	21	robust	robust	ADJ
futech-532	192	22	feature	feature	NOUN
futech-532	192	23	selection	selection	NOUN
futech-532	192	24	and	and	CCONJ
futech-532	192	25	class	class	NOUN
futech-532	192	26	rebalancing	rebalancing	NOUN
futech-532	192	27	strategies	strategy	NOUN
futech-532	192	28	.	.	PUNCT
futech-532	193	1	the	the	DET
futech-532	193	2	model	model	NOUN
futech-532	193	3	’s	’s	PART
futech-532	193	4	balanced	balanced	ADJ
futech-532	193	5	precision	precision	NOUN
futech-532	193	6	–	–	PUNCT
futech-532	193	7	recall	recall	NOUN
futech-532	193	8	performance	performance	NOUN
futech-532	193	9	further	far	ADV
futech-532	193	10	reinforces	reinforce	VERB
futech-532	193	11	its	its	PRON
futech-532	193	12	robustness	robustness	NOUN
futech-532	193	13	,	,	PUNCT
futech-532	193	14	demonstrating	demonstrate	VERB
futech-532	193	15	that	that	SCONJ
futech-532	193	16	its	its	PRON
futech-532	193	17	superiority	superiority	NOUN
futech-532	193	18	extends	extend	VERB
futech-532	193	19	beyond	beyond	ADP
futech-532	193	20	accuracy	accuracy	NOUN
futech-532	193	21	to	to	ADP
futech-532	193	22	reliable	reliable	ADJ
futech-532	193	23	detection	detection	NOUN
futech-532	193	24	of	of	ADP
futech-532	193	25	defective	defective	ADJ
futech-532	193	26	modules	module	NOUN
futech-532	193	27	across	across	ADP
futech-532	193	28	datasets	dataset	NOUN
futech-532	193	29	.	.	PUNCT
futech-532	194	1	table	table	NOUN
futech-532	194	2	7	7	NUM
futech-532	194	3	.	.	PUNCT
futech-532	194	4	paired	pair	VERB
futech-532	194	5	t	t	PROPN
futech-532	194	6	-	-	PUNCT
futech-532	194	7	test	test	NOUN
futech-532	194	8	results	result	NOUN
futech-532	194	9	comparing	compare	VERB
futech-532	194	10	the	the	DET
futech-532	194	11	stacked	stack	VERB
futech-532	194	12	ensemble	ensemble	ADJ
futech-532	194	13	with	with	ADP
futech-532	194	14	baseline	baseline	NOUN
futech-532	194	15	models	model	NOUN
futech-532	194	16	metric	metric	ADJ
futech-532	194	17	stacked	stack	VERB
futech-532	194	18	vs.	vs.	ADP
futech-532	194	19	random	random	ADJ
futech-532	194	20	forest	forest	NOUN
futech-532	194	21	(	(	PUNCT
futech-532	194	22	pvalue	pvalue	NOUN
futech-532	194	23	)	)	PUNCT
futech-532	194	24	stacked	stack	VERB
futech-532	194	25	vs.	vs.	ADP
futech-532	194	26	gradient	gradient	NOUN
futech-532	194	27	boosting	boost	VERB
futech-532	194	28	(	(	PUNCT
futech-532	194	29	pvalue	pvalue	NOUN
futech-532	194	30	)	)	PUNCT
futech-532	194	31	stacked	stack	VERB
futech-532	194	32	vs.	vs.	CCONJ
futech-532	194	33	adaboost	adaboost	ADJ
futech-532	194	34	(	(	PUNCT
futech-532	194	35	pvalue	pvalue	NOUN
futech-532	194	36	)	)	PUNCT
futech-532	194	37	accuracy	accuracy	NOUN
futech-532	194	38	0.012	0.012	NUM
futech-532	194	39	0.018	0.018	NUM
futech-532	194	40	0.004	0.004	NUM
futech-532	194	41	precision	precision	NOUN
futech-532	194	42	0.021	0.021	NUM
futech-532	194	43	0.016	0.016	NUM
futech-532	194	44	0.008	0.008	NUM
futech-532	194	45	recall	recall	NOUN
futech-532	194	46	0.017	0.017	NUM
futech-532	194	47	0.019	0.019	NUM
futech-532	194	48	0.006	0.006	NUM
futech-532	194	49	f1	f1	NOUN
futech-532	194	50	-	-	PUNCT
futech-532	194	51	score	score	NOUN
futech-532	194	52	0.014	0.014	NUM
futech-532	194	53	0.015	0.015	NUM
futech-532	194	54	0.005	0.005	NUM
futech-532	194	55	the	the	DET
futech-532	194	56	results	result	NOUN
futech-532	194	57	align	align	VERB
futech-532	194	58	with	with	ADP
futech-532	194	59	and	and	CCONJ
futech-532	194	60	extend	extend	VERB
futech-532	194	61	earlier	early	ADJ
futech-532	194	62	findings	finding	NOUN
futech-532	194	63	in	in	ADP
futech-532	194	64	ensemble	ensemble	ADJ
futech-532	194	65	-	-	PUNCT
futech-532	194	66	based	base	VERB
futech-532	194	67	defect	defect	NOUN
futech-532	194	68	prediction	prediction	NOUN
futech-532	194	69	research	research	NOUN
futech-532	194	70	.	.	PUNCT
futech-532	195	1	alazba	alazba	NOUN
futech-532	195	2	and	and	CCONJ
futech-532	195	3	aljamaan	aljamaan	VERB
futech-532	196	1	[	[	X
futech-532	196	2	1	1	X
futech-532	196	3	]	]	PUNCT
futech-532	196	4	achieved	achieve	VERB
futech-532	196	5	about	about	ADV
futech-532	196	6	0.84	0.84	NUM
futech-532	196	7	accuracy	accuracy	NOUN
futech-532	196	8	on	on	ADP
futech-532	196	9	the	the	DET
futech-532	196	10	cm1	cm1	NOUN
futech-532	196	11	dataset	dataset	NOUN
futech-532	196	12	using	use	VERB
futech-532	196	13	optimized	optimize	VERB
futech-532	196	14	tree	tree	NOUN
futech-532	196	15	ensembles	ensemble	NOUN
futech-532	196	16	,	,	PUNCT
futech-532	196	17	while	while	SCONJ
futech-532	196	18	the	the	DET
futech-532	196	19	proposed	propose	VERB
futech-532	196	20	model	model	NOUN
futech-532	196	21	reached	reach	VERB
futech-532	196	22	0.88	0.88	NUM
futech-532	196	23	.	.	PUNCT
futech-532	197	1	likewise	likewise	ADV
futech-532	197	2	,	,	PUNCT
futech-532	197	3	ali	ali	PROPN
futech-532	197	4	et	et	PROPN
futech-532	197	5	al	al	PROPN
futech-532	197	6	.	.	PUNCT
futech-532	198	1	[	[	X
futech-532	198	2	2	2	X
futech-532	198	3	]	]	PUNCT
futech-532	198	4	reported	report	VERB
futech-532	198	5	roughly	roughly	ADV
futech-532	198	6	0.82	0.82	NUM
futech-532	198	7	accuracy	accuracy	NOUN
futech-532	198	8	on	on	ADP
futech-532	198	9	kc1	kc1	PROPN
futech-532	198	10	with	with	ADP
futech-532	198	11	feature	feature	NOUN
futech-532	198	12	-	-	PUNCT
futech-532	198	13	based	base	VERB
futech-532	198	14	stacking	stacking	NOUN
futech-532	198	15	,	,	PUNCT
futech-532	198	16	whereas	whereas	SCONJ
futech-532	198	17	our	our	PRON
futech-532	198	18	configuration	configuration	NOUN
futech-532	198	19	attained	attain	VERB
futech-532	198	20	0.86	0.86	NUM
futech-532	198	21	.	.	PUNCT
futech-532	199	1	these	these	DET
futech-532	199	2	improvements	improvement	NOUN
futech-532	199	3	highlight	highlight	VERB
futech-532	199	4	that	that	SCONJ
futech-532	199	5	integrating	integrate	VERB
futech-532	199	6	rfe	rfe	NOUN
futech-532	199	7	and	and	CCONJ
futech-532	199	8	mutual	mutual	ADJ
futech-532	199	9	-	-	PUNCT
futech-532	199	10	information	information	NOUN
futech-532	199	11	feature	feature	NOUN
futech-532	199	12	ranking	rank	VERB
futech-532	199	13	within	within	ADP
futech-532	199	14	a	a	DET
futech-532	199	15	heterogeneous	heterogeneous	ADJ
futech-532	199	16	stacking	stacking	NOUN
futech-532	199	17	framework	framework	NOUN
futech-532	199	18	enhances	enhance	VERB
futech-532	199	19	generalization	generalization	NOUN
futech-532	199	20	and	and	CCONJ
futech-532	199	21	predictive	predictive	ADJ
futech-532	199	22	stability	stability	NOUN
futech-532	199	23	.	.	PUNCT
futech-532	200	1	feature	feature	NOUN
futech-532	200	2	selection	selection	NOUN
futech-532	200	3	using	use	VERB
futech-532	200	4	rfe	rfe	PROPN
futech-532	200	5	and	and	CCONJ
futech-532	200	6	mutual	mutual	ADJ
futech-532	200	7	information	information	NOUN
futech-532	200	8	contributed	contribute	VERB
futech-532	200	9	meaningfully	meaningfully	ADV
futech-532	200	10	to	to	ADP
futech-532	200	11	model	model	VERB
futech-532	200	12	performance	performance	NOUN
futech-532	200	13	by	by	ADP
futech-532	200	14	eliminating	eliminate	VERB
futech-532	200	15	irrelevant	irrelevant	ADJ
futech-532	200	16	or	or	CCONJ
futech-532	200	17	redundant	redundant	ADJ
futech-532	200	18	attributes	attribute	NOUN
futech-532	200	19	,	,	PUNCT
futech-532	200	20	thereby	thereby	ADV
futech-532	200	21	helping	help	VERB
futech-532	200	22	reduce	reduce	VERB
futech-532	200	23	overfitting	overfitte	VERB
futech-532	200	24	and	and	CCONJ
futech-532	200	25	enhancing	enhance	VERB
futech-532	200	26	generalization	generalization	NOUN
futech-532	200	27	.	.	PUNCT
futech-532	201	1	hyperparameter	hyperparameter	NOUN
futech-532	201	2	optimization	optimization	NOUN
futech-532	201	3	via	via	ADP
futech-532	201	4	grid	grid	NOUN
futech-532	201	5	search	search	NOUN
futech-532	201	6	further	far	ADV
futech-532	201	7	improved	improve	VERB
futech-532	201	8	baseline	baseline	ADJ
futech-532	201	9	and	and	CCONJ
futech-532	201	10	ensemble	ensemble	ADJ
futech-532	201	11	configurations	configuration	NOUN
futech-532	201	12	,	,	PUNCT
futech-532	201	13	producing	produce	VERB
futech-532	201	14	observable	observable	ADJ
futech-532	201	15	gains	gain	NOUN
futech-532	201	16	in	in	ADP
futech-532	201	17	metric	metric	ADJ
futech-532	201	18	outcomes	outcome	NOUN
futech-532	201	19	across	across	ADP
futech-532	201	20	the	the	DET
futech-532	201	21	board	board	NOUN
futech-532	201	22	.	.	PUNCT
futech-532	202	1	the	the	DET
futech-532	202	2	consistent	consistent	ADJ
futech-532	202	3	superiority	superiority	NOUN
futech-532	202	4	of	of	ADP
futech-532	202	5	the	the	DET
futech-532	202	6	stacked	stack	VERB
futech-532	202	7	ensemble	ensemble	ADJ
futech-532	202	8	across	across	ADP
futech-532	202	9	all	all	DET
futech-532	202	10	evaluation	evaluation	NOUN
futech-532	202	11	metrics	metric	NOUN
futech-532	202	12	aligns	align	VERB
futech-532	202	13	with	with	ADP
futech-532	202	14	expectations	expectation	NOUN
futech-532	202	15	drawn	draw	VERB
futech-532	202	16	from	from	ADP
futech-532	202	17	ensemble	ensemble	ADJ
futech-532	202	18	theory	theory	NOUN
futech-532	202	19	,	,	PUNCT
futech-532	202	20	which	which	PRON
futech-532	202	21	suggests	suggest	VERB
futech-532	202	22	that	that	SCONJ
futech-532	202	23	model	model	NOUN
futech-532	202	24	diversity	diversity	NOUN
futech-532	202	25	and	and	CCONJ
futech-532	202	26	aggregation	aggregation	NOUN
futech-532	202	27	can	can	AUX
futech-532	202	28	lead	lead	VERB
futech-532	202	29	to	to	ADP
futech-532	202	30	reduced	reduce	VERB
futech-532	202	31	error	error	NOUN
futech-532	202	32	and	and	CCONJ
futech-532	202	33	variance	variance	NOUN
futech-532	202	34	.	.	PUNCT
futech-532	203	1	despite	despite	SCONJ
futech-532	203	2	the	the	DET
futech-532	203	3	relatively	relatively	ADV
futech-532	203	4	small	small	ADJ
futech-532	203	5	sample	sample	NOUN
futech-532	203	6	size	size	NOUN
futech-532	203	7	,	,	PUNCT
futech-532	203	8	the	the	DET
futech-532	203	9	statistical	statistical	ADJ
futech-532	203	10	significance	significance	NOUN
futech-532	203	11	of	of	ADP
futech-532	203	12	improvements	improvement	NOUN
futech-532	203	13	(	(	PUNCT
futech-532	203	14	p	p	X
futech-532	203	15	<	<	X
futech-532	203	16	0.05	0.05	NUM
futech-532	203	17	)	)	PUNCT
futech-532	203	18	confirms	confirm	VERB
futech-532	203	19	the	the	DET
futech-532	203	20	reliability	reliability	NOUN
futech-532	203	21	of	of	ADP
futech-532	203	22	the	the	DET
futech-532	203	23	results	result	NOUN
futech-532	203	24	.	.	PUNCT
futech-532	204	1	current	current	ADJ
futech-532	204	2	findings	finding	NOUN
futech-532	204	3	reinforce	reinforce	VERB
futech-532	204	4	prior	prior	ADJ
futech-532	204	5	assertions	assertion	NOUN
futech-532	204	6	in	in	ADP
futech-532	204	7	the	the	DET
futech-532	204	8	literature	literature	NOUN
futech-532	204	9	that	that	PRON
futech-532	204	10	ensemble	ensemble	ADJ
futech-532	204	11	models	model	NOUN
futech-532	204	12	outperform	outperform	VERB
futech-532	204	13	standalone	standalone	NOUN
futech-532	204	14	machine	machine	NOUN
futech-532	204	15	learning	learn	VERB
futech-532	204	16	classifiers	classifier	NOUN
futech-532	204	17	in	in	ADP
futech-532	204	18	software	software	NOUN
futech-532	204	19	defect	defect	NOUN
futech-532	204	20	prediction	prediction	NOUN
futech-532	204	21	.	.	PUNCT
futech-532	205	1	the	the	DET
futech-532	205	2	empirical	empirical	ADJ
futech-532	205	3	study	study	NOUN
futech-532	205	4	demonstrated	demonstrate	VERB
futech-532	205	5	that	that	SCONJ
futech-532	205	6	ensemble	ensemble	ADJ
futech-532	205	7	learning	learning	NOUN
futech-532	205	8	,	,	PUNCT
futech-532	205	9	particularly	particularly	ADV
futech-532	205	10	stacking	stack	VERB
futech-532	205	11	and	and	CCONJ
futech-532	205	12	boosting	boost	VERB
futech-532	205	13	,	,	PUNCT
futech-532	205	14	achieved	achieve	VERB
futech-532	205	15	significantly	significantly	ADV
futech-532	205	16	better	well	ADJ
futech-532	205	17	results	result	NOUN
futech-532	205	18	than	than	ADP
futech-532	205	19	individual	individual	ADJ
futech-532	205	20	models	model	NOUN
futech-532	205	21	across	across	ADP
futech-532	205	22	multiple	multiple	ADJ
futech-532	205	23	datasets	dataset	NOUN
futech-532	205	24	,	,	PUNCT
futech-532	205	25	confirming	confirm	VERB
futech-532	205	26	the	the	DET
futech-532	205	27	architectural	architectural	ADJ
futech-532	205	28	value	value	NOUN
futech-532	205	29	of	of	ADP
futech-532	205	30	such	such	ADJ
futech-532	205	31	frameworks	framework	NOUN
futech-532	205	32	in	in	ADP
futech-532	205	33	real	real	ADJ
futech-532	205	34	-	-	PUNCT
futech-532	205	35	world	world	NOUN
futech-532	205	36	defect	defect	NOUN
futech-532	205	37	prediction	prediction	NOUN
futech-532	205	38	tasks	task	NOUN
futech-532	205	39	[	[	X
futech-532	205	40	20	20	NUM
futech-532	205	41	]	]	PUNCT
futech-532	205	42	.	.	PUNCT
futech-532	206	1	the	the	DET
futech-532	206	2	study	study	NOUN
futech-532	206	3	emphasized	emphasize	VERB
futech-532	206	4	that	that	SCONJ
futech-532	206	5	ensemble	ensemble	ADJ
futech-532	206	6	paradigms	paradigm	VERB
futech-532	206	7	leverage	leverage	NOUN
futech-532	206	8	complementary	complementary	ADJ
futech-532	206	9	strengths	strength	NOUN
futech-532	206	10	of	of	ADP
futech-532	206	11	classifiers	classifier	NOUN
futech-532	206	12	and	and	CCONJ
futech-532	206	13	improve	improve	VERB
futech-532	206	14	stability	stability	NOUN
futech-532	206	15	,	,	PUNCT
futech-532	206	16	a	a	DET
futech-532	206	17	conclusion	conclusion	NOUN
futech-532	206	18	mirrored	mirror	VERB
futech-532	206	19	in	in	ADP
futech-532	206	20	the	the	DET
futech-532	206	21	robust	robust	ADJ
futech-532	206	22	performance	performance	NOUN
futech-532	206	23	observed	observe	VERB
futech-532	206	24	in	in	ADP
futech-532	206	25	the	the	DET
futech-532	206	26	present	present	ADJ
futech-532	206	27	study	study	NOUN
futech-532	206	28	[	[	X
futech-532	206	29	21	21	NUM
futech-532	206	30	]	]	PUNCT
futech-532	206	31	.	.	PUNCT
futech-532	207	1	adaptive	adaptive	ADJ
futech-532	207	2	ensemble	ensemble	ADJ
futech-532	207	3	models	model	NOUN
futech-532	207	4	continue	continue	VERB
futech-532	207	5	to	to	PART
futech-532	207	6	gain	gain	VERB
futech-532	207	7	traction	traction	NOUN
futech-532	207	8	due	due	ADP
futech-532	207	9	to	to	ADP
futech-532	207	10	their	their	PRON
futech-532	207	11	ability	ability	NOUN
futech-532	207	12	to	to	PART
futech-532	207	13	dynamically	dynamically	ADV
futech-532	207	14	capture	capture	VERB
futech-532	207	15	nonlinear	nonlinear	ADJ
futech-532	207	16	relationships	relationship	NOUN
futech-532	207	17	in	in	ADP
futech-532	207	18	highdimensional	highdimensional	ADJ
futech-532	207	19	software	software	NOUN
futech-532	207	20	metrics	metric	NOUN
futech-532	207	21	.	.	PUNCT
futech-532	208	1	a	a	DET
futech-532	208	2	study	study	NOUN
futech-532	208	3	developed	develop	VERB
futech-532	208	4	an	an	DET
futech-532	208	5	ensemble	ensemble	ADJ
futech-532	208	6	method	method	NOUN
futech-532	208	7	using	use	VERB
futech-532	208	8	the	the	DET
futech-532	208	9	adaptive	adaptive	ADJ
futech-532	208	10	sparrow	sparrow	NOUN
futech-532	208	11	search	search	NOUN
futech-532	208	12	algorithm	algorithm	NOUN
futech-532	208	13	,	,	PUNCT
futech-532	208	14	which	which	PRON
futech-532	208	15	yielded	yield	VERB
futech-532	208	16	high	high	ADJ
futech-532	208	17	accuracy	accuracy	NOUN
futech-532	208	18	and	and	CCONJ
futech-532	208	19	robustness	robustness	NOUN
futech-532	208	20	across	across	ADP
futech-532	208	21	various	various	ADJ
futech-532	208	22	repositories	repository	NOUN
futech-532	208	23	,	,	PUNCT
futech-532	208	24	further	far	ADV
futech-532	208	25	affirming	affirm	VERB
futech-532	208	26	that	that	SCONJ
futech-532	208	27	optimizing	optimize	VERB
futech-532	208	28	learner	learner	NOUN
futech-532	208	29	diversity	diversity	NOUN
futech-532	208	30	and	and	CCONJ
futech-532	208	31	integration	integration	NOUN
futech-532	208	32	techniques	technique	NOUN
futech-532	208	33	leads	lead	VERB
futech-532	208	34	to	to	ADP
futech-532	208	35	tangible	tangible	ADJ
futech-532	208	36	performance	performance	NOUN
futech-532	208	37	gains	gain	NOUN
futech-532	208	38	[	[	X
futech-532	208	39	22	22	NUM
futech-532	208	40	]	]	PUNCT
futech-532	208	41	.	.	PUNCT
futech-532	209	1	deep	deep	ADJ
futech-532	209	2	learning	learning	NOUN
futech-532	209	3	approaches	approach	NOUN
futech-532	209	4	have	have	AUX
futech-532	209	5	also	also	ADV
futech-532	209	6	gained	gain	VERB
futech-532	209	7	momentum	momentum	NOUN
futech-532	209	8	in	in	ADP
futech-532	209	9	recent	recent	ADJ
futech-532	209	10	years	year	NOUN
futech-532	209	11	.	.	PUNCT
futech-532	210	1	a	a	DET
futech-532	210	2	study	study	NOUN
futech-532	210	3	demonstrated	demonstrate	VERB
futech-532	210	4	that	that	SCONJ
futech-532	210	5	convolutional	convolutional	ADJ
futech-532	210	6	and	and	CCONJ
futech-532	210	7	recurrent	recurrent	ADJ
futech-532	210	8	architectures	architecture	NOUN
futech-532	210	9	outperform	outperform	VERB
futech-532	210	10	traditional	traditional	ADJ
futech-532	210	11	ml	ml	NOUN
futech-532	210	12	methods	method	NOUN
futech-532	210	13	when	when	SCONJ
futech-532	210	14	sufficient	sufficient	ADJ
futech-532	210	15	data	datum	NOUN
futech-532	210	16	volume	volume	NOUN
futech-532	210	17	and	and	CCONJ
futech-532	210	18	computational	computational	ADJ
futech-532	210	19	resources	resource	NOUN
futech-532	210	20	are	be	AUX
futech-532	210	21	available	available	ADJ
futech-532	210	22	[	[	X
futech-532	210	23	23	23	NUM
futech-532	210	24	]	]	PUNCT
futech-532	210	25	.	.	PUNCT
futech-532	211	1	another	another	DET
futech-532	211	2	study	study	NOUN
futech-532	211	3	highlighted	highlight	VERB
futech-532	211	4	the	the	DET
futech-532	211	5	efficacy	efficacy	NOUN
futech-532	211	6	of	of	ADP
futech-532	211	7	deep	deep	ADJ
futech-532	211	8	forest	forest	NOUN
futech-532	211	9	models	model	NOUN
futech-532	211	10	in	in	ADP
futech-532	211	11	capturing	capture	VERB
futech-532	211	12	complex	complex	ADJ
futech-532	211	13	defect	defect	NOUN
futech-532	211	14	patterns	pattern	NOUN
futech-532	211	15	without	without	ADP
futech-532	211	16	requiring	require	VERB
futech-532	211	17	the	the	DET
futech-532	211	18	extensive	extensive	ADJ
futech-532	211	19	tuning	tuning	NOUN
futech-532	211	20	overhead	overhead	ADV
futech-532	211	21	typical	typical	ADJ
futech-532	211	22	of	of	ADP
futech-532	211	23	neural	neural	ADJ
futech-532	211	24	networks	network	NOUN
futech-532	211	25	[	[	X
futech-532	211	26	24	24	NUM
futech-532	211	27	]	]	PUNCT
futech-532	211	28	.	.	PUNCT
futech-532	212	1	however	however	ADV
futech-532	212	2	,	,	PUNCT
futech-532	212	3	such	such	ADJ
futech-532	212	4	deep	deep	ADJ
futech-532	212	5	models	model	NOUN
futech-532	212	6	are	be	AUX
futech-532	212	7	often	often	ADV
futech-532	212	8	resource	resource	NOUN
futech-532	212	9	-	-	PUNCT
futech-532	212	10	intensive	intensive	ADJ
futech-532	212	11	,	,	PUNCT
futech-532	212	12	making	make	VERB
futech-532	212	13	them	they	PRON
futech-532	212	14	less	less	ADV
futech-532	212	15	suitable	suitable	ADJ
futech-532	212	16	for	for	ADP
futech-532	212	17	smaller	small	ADJ
futech-532	212	18	datasets	dataset	NOUN
futech-532	212	19	or	or	CCONJ
futech-532	212	20	constrained	constrained	ADJ
futech-532	212	21	environments	environment	NOUN
futech-532	212	22	.	.	PUNCT
futech-532	213	1	by	by	ADP
futech-532	213	2	contrast	contrast	NOUN
futech-532	213	3	,	,	PUNCT
futech-532	213	4	the	the	DET
futech-532	213	5	current	current	ADJ
futech-532	213	6	study	study	NOUN
futech-532	213	7	's	's	PART
futech-532	213	8	ensemble	ensemble	ADJ
futech-532	213	9	model	model	NOUN
futech-532	213	10	achieved	achieve	VERB
futech-532	213	11	high	high	ADJ
futech-532	213	12	performance	performance	NOUN
futech-532	213	13	with	with	ADP
futech-532	213	14	only	only	ADV
futech-532	213	15	500	500	NUM
futech-532	213	16	samples	sample	NOUN
futech-532	213	17	and	and	CCONJ
futech-532	213	18	moderate	moderate	ADJ
futech-532	213	19	computational	computational	ADJ
futech-532	213	20	requirements	requirement	NOUN
futech-532	213	21	,	,	PUNCT
futech-532	213	22	underscoring	underscore	VERB
futech-532	213	23	its	its	PRON
futech-532	213	24	practical	practical	ADJ
futech-532	213	25	applicability	applicability	NOUN
futech-532	213	26	.	.	PUNCT
futech-532	214	1	a	a	DET
futech-532	214	2	study	study	NOUN
futech-532	214	3	reviewed	review	VERB
futech-532	214	4	the	the	DET
futech-532	214	5	ai	ai	ADJ
futech-532	214	6	landscape	landscape	NOUN
futech-532	214	7	in	in	ADP
futech-532	214	8	defect	defect	NOUN
futech-532	214	9	prediction	prediction	NOUN
futech-532	214	10	and	and	CCONJ
futech-532	214	11	emphasized	emphasize	VERB
futech-532	214	12	that	that	SCONJ
futech-532	214	13	preprocessing	preprocessing	NOUN
futech-532	214	14	,	,	PUNCT
futech-532	214	15	feature	feature	NOUN
futech-532	214	16	engineering	engineering	NOUN
futech-532	214	17	,	,	PUNCT
futech-532	214	18	and	and	CCONJ
futech-532	214	19	model	model	NOUN
futech-532	214	20	ensemble	ensemble	ADJ
futech-532	214	21	configurations	configuration	NOUN
futech-532	214	22	are	be	AUX
futech-532	214	23	crucial	crucial	ADJ
futech-532	214	24	performance	performance	NOUN
futech-532	214	25	drivers	driver	NOUN
futech-532	214	26	,	,	PUNCT
futech-532	214	27	a	a	DET
futech-532	214	28	viewpoint	viewpoint	NOUN
futech-532	214	29	supported	support	VERB
futech-532	214	30	by	by	ADP
futech-532	214	31	the	the	DET
futech-532	214	32	methodological	methodological	ADJ
futech-532	214	33	rigor	rigor	NOUN
futech-532	214	34	and	and	CCONJ
futech-532	214	35	empirical	empirical	ADJ
futech-532	214	36	success	success	NOUN
futech-532	214	37	of	of	ADP
futech-532	214	38	the	the	DET
futech-532	214	39	present	present	ADJ
futech-532	214	40	framework	framework	NOUN
futech-532	214	41	[	[	X
futech-532	214	42	25	25	NUM
futech-532	214	43	]	]	PUNCT
futech-532	214	44	.	.	PUNCT
futech-532	215	1	the	the	DET
futech-532	215	2	study	study	NOUN
futech-532	215	3	also	also	ADV
futech-532	215	4	reported	report	VERB
futech-532	215	5	that	that	SCONJ
futech-532	215	6	while	while	SCONJ
futech-532	215	7	deep	deep	ADJ
futech-532	215	8	learning	learning	NOUN
futech-532	215	9	models	model	NOUN
futech-532	215	10	show	show	VERB
futech-532	215	11	promise	promise	NOUN
futech-532	215	12	,	,	PUNCT
futech-532	215	13	ensemble	ensemble	ADJ
futech-532	215	14	-	-	PUNCT
futech-532	215	15	based	base	VERB
futech-532	215	16	strategies	strategy	NOUN
futech-532	215	17	remain	remain	VERB
futech-532	215	18	competitive	competitive	ADJ
futech-532	215	19	and	and	CCONJ
futech-532	215	20	more	more	ADV
futech-532	215	21	interpretable	interpretable	ADJ
futech-532	215	22	in	in	ADP
futech-532	215	23	many	many	ADJ
futech-532	215	24	industrial	industrial	ADJ
futech-532	215	25	applications	application	NOUN
futech-532	215	26	,	,	PUNCT
futech-532	215	27	particularly	particularly	ADV
futech-532	215	28	when	when	SCONJ
futech-532	215	29	integrated	integrate	VERB
futech-532	215	30	with	with	ADP
futech-532	215	31	explainable	explainable	ADJ
futech-532	215	32	ai	ai	NOUN
futech-532	215	33	techniques	technique	NOUN
futech-532	215	34	[	[	X
futech-532	215	35	26	26	NUM
futech-532	215	36	]	]	PUNCT
futech-532	215	37	.	.	PUNCT
futech-532	216	1	in	in	ADP
futech-532	216	2	terms	term	NOUN
futech-532	216	3	of	of	ADP
futech-532	216	4	dataset	dataset	NOUN
futech-532	216	5	use	use	NOUN
futech-532	216	6	,	,	PUNCT
futech-532	216	7	siddiqui	siddiqui	NOUN
futech-532	216	8	and	and	CCONJ
futech-532	216	9	mustaqeem	mustaqeem	VERB
futech-532	216	10	[	[	X
futech-532	216	11	27	27	NUM
futech-532	216	12	]	]	PUNCT
futech-532	216	13	affirmed	affirm	VERB
futech-532	216	14	that	that	SCONJ
futech-532	216	15	nasa	nasa	PROPN
futech-532	216	16	datasets	dataset	NOUN
futech-532	216	17	continue	continue	VERB
futech-532	216	18	to	to	PART
futech-532	216	19	serve	serve	VERB
futech-532	216	20	as	as	ADP
futech-532	216	21	effective	effective	ADJ
futech-532	216	22	benchmarks	benchmark	NOUN
futech-532	216	23	for	for	ADP
futech-532	216	24	predictive	predictive	ADJ
futech-532	216	25	modeling	modeling	NOUN
futech-532	216	26	,	,	PUNCT
futech-532	216	27	although	although	SCONJ
futech-532	216	28	dataset	dataset	ADJ
futech-532	216	29	quality	quality	NOUN
futech-532	216	30	and	and	CCONJ
futech-532	216	31	preprocessing	preprocessing	NOUN
futech-532	216	32	methods	method	NOUN
futech-532	216	33	significantly	significantly	ADV
futech-532	216	34	influence	influence	VERB
futech-532	216	35	outcomes	outcome	NOUN
futech-532	216	36	.	.	PUNCT
futech-532	217	1	the	the	DET
futech-532	217	2	present	present	ADJ
futech-532	217	3	study	study	NOUN
futech-532	217	4	addressed	address	VERB
futech-532	217	5	this	this	PRON
futech-532	217	6	through	through	ADP
futech-532	217	7	normalization	normalization	NOUN
futech-532	217	8	,	,	PUNCT
futech-532	217	9	smote	smote	ADJ
futech-532	217	10	balancing	balancing	NOUN
futech-532	217	11	,	,	PUNCT
futech-532	217	12	and	and	CCONJ
futech-532	217	13	cross	cross	NOUN
futech-532	217	14	-	-	NOUN
futech-532	217	15	validation	validation	ADJ
futech-532	217	16	,	,	PUNCT
futech-532	217	17	ensuring	ensure	VERB
futech-532	217	18	reliability	reliability	NOUN
futech-532	217	19	even	even	ADV
futech-532	217	20	with	with	ADP
futech-532	217	21	a	a	DET
futech-532	217	22	limited	limited	ADJ
futech-532	217	23	data	data	NOUN
futech-532	217	24	pool	pool	NOUN
futech-532	217	25	.	.	PUNCT
futech-532	218	1	several	several	ADJ
futech-532	218	2	limitations	limitation	NOUN
futech-532	218	3	were	be	AUX
futech-532	218	4	acknowledged	acknowledge	VERB
futech-532	218	5	during	during	ADP
futech-532	218	6	the	the	DET
futech-532	218	7	research	research	NOUN
futech-532	218	8	.	.	PUNCT
futech-532	219	1	the	the	DET
futech-532	219	2	use	use	NOUN
futech-532	219	3	of	of	ADP
futech-532	219	4	only	only	ADV
futech-532	219	5	four	four	NUM
futech-532	219	6	datasets	dataset	NOUN
futech-532	219	7	,	,	PUNCT
futech-532	219	8	albeit	albeit	SCONJ
futech-532	219	9	standard	standard	ADJ
futech-532	219	10	and	and	CCONJ
futech-532	219	11	diverse	diverse	ADJ
futech-532	219	12	,	,	PUNCT
futech-532	219	13	restricts	restrict	VERB
futech-532	219	14	the	the	DET
futech-532	219	15	generalizability	generalizability	NOUN
futech-532	219	16	of	of	ADP
futech-532	219	17	the	the	DET
futech-532	219	18	findings	finding	NOUN
futech-532	219	19	across	across	ADP
futech-532	219	20	other	other	ADJ
futech-532	219	21	domains	domain	NOUN
futech-532	219	22	or	or	CCONJ
futech-532	219	23	software	software	NOUN
futech-532	219	24	development	development	NOUN
futech-532	219	25	environments	environment	NOUN
futech-532	219	26	.	.	PUNCT
futech-532	220	1	the	the	DET
futech-532	220	2	reduced	reduce	VERB
futech-532	220	3	dataset	dataset	NOUN
futech-532	220	4	size	size	NOUN
futech-532	220	5	,	,	PUNCT
futech-532	220	6	although	although	SCONJ
futech-532	220	7	adequate	adequate	ADJ
futech-532	220	8	for	for	ADP
futech-532	220	9	controlled	control	VERB
futech-532	220	10	experiments	experiment	NOUN
futech-532	220	11	,	,	PUNCT
futech-532	220	12	may	may	AUX
futech-532	220	13	limit	limit	VERB
futech-532	220	14	generalization	generalization	NOUN
futech-532	220	15	to	to	ADP
futech-532	220	16	larger	large	ADJ
futech-532	220	17	or	or	CCONJ
futech-532	220	18	more	more	ADV
futech-532	220	19	complex	complex	ADJ
futech-532	220	20	software	software	NOUN
futech-532	220	21	systems	system	NOUN
futech-532	220	22	,	,	PUNCT
futech-532	220	23	which	which	PRON
futech-532	220	24	future	future	ADJ
futech-532	220	25	studies	study	NOUN
futech-532	220	26	should	should	AUX
futech-532	220	27	address	address	VERB
futech-532	220	28	by	by	ADP
futech-532	220	29	scaling	scale	VERB
futech-532	220	30	to	to	ADP
futech-532	220	31	full	full	ADJ
futech-532	220	32	repositories	repository	NOUN
futech-532	220	33	.	.	PUNCT
futech-532	221	1	these	these	DET
futech-532	221	2	nasa	nasa	PROPN
futech-532	221	3	repositories	repository	NOUN
futech-532	221	4	were	be	AUX
futech-532	221	5	selected	select	VERB
futech-532	221	6	because	because	SCONJ
futech-532	221	7	they	they	PRON
futech-532	221	8	are	be	AUX
futech-532	221	9	widely	widely	ADV
futech-532	221	10	accepted	accept	VERB
futech-532	221	11	benchmarks	benchmark	NOUN
futech-532	221	12	that	that	PRON
futech-532	221	13	offer	offer	VERB
futech-532	221	14	reliable	reliable	ADJ
futech-532	221	15	,	,	PUNCT
futech-532	221	16	publicly	publicly	ADV
futech-532	221	17	available	available	ADJ
futech-532	221	18	,	,	PUNCT
futech-532	221	19	and	and	CCONJ
futech-532	221	20	domain	domain	NOUN
futech-532	221	21	-	-	PUNCT
futech-532	221	22	diverse	diverse	ADJ
futech-532	221	23	defect	defect	NOUN
futech-532	221	24	data	datum	NOUN
futech-532	221	25	,	,	PUNCT
futech-532	221	26	allowing	allow	VERB
futech-532	221	27	consistent	consistent	ADJ
futech-532	221	28	evaluation	evaluation	NOUN
futech-532	221	29	and	and	CCONJ
futech-532	221	30	comparison	comparison	NOUN
futech-532	221	31	with	with	ADP
futech-532	221	32	prior	prior	ADJ
futech-532	221	33	studies	study	NOUN
futech-532	221	34	.	.	PUNCT
futech-532	222	1	although	although	SCONJ
futech-532	222	2	stratified	stratified	ADJ
futech-532	222	3	sampling	sampling	NOUN
futech-532	222	4	and	and	CCONJ
futech-532	222	5	smote	smote	NOUN
futech-532	222	6	were	be	AUX
futech-532	222	7	employed	employ	VERB
futech-532	222	8	to	to	PART
futech-532	222	9	address	address	VERB
futech-532	222	10	class	class	NOUN
futech-532	222	11	imbalance	imbalance	NOUN
futech-532	222	12	,	,	PUNCT
futech-532	222	13	synthetic	synthetic	ADJ
futech-532	222	14	oversampling	oversampling	NOUN
futech-532	222	15	might	might	AUX
futech-532	222	16	not	not	PART
futech-532	222	17	fully	fully	ADV
futech-532	222	18	represent	represent	VERB
futech-532	222	19	real	real	ADJ
futech-532	222	20	-	-	PUNCT
futech-532	222	21	world	world	NOUN
futech-532	222	22	distributions	distribution	NOUN
futech-532	222	23	and	and	CCONJ
futech-532	222	24	could	could	AUX
futech-532	222	25	introduce	introduce	VERB
futech-532	222	26	minor	minor	ADJ
futech-532	222	27	noise	noise	NOUN
futech-532	222	28	or	or	CCONJ
futech-532	222	29	bias	bias	NOUN
futech-532	222	30	,	,	PUNCT
futech-532	222	31	potentially	potentially	ADV
futech-532	222	32	affecting	affect	VERB
futech-532	222	33	model	model	NOUN
futech-532	222	34	interpretability	interpretability	NOUN
futech-532	222	35	and	and	CCONJ
futech-532	222	36	performance	performance	NOUN
futech-532	222	37	in	in	ADP
futech-532	222	38	production	production	NOUN
futech-532	222	39	settings	setting	NOUN
futech-532	222	40	.	.	PUNCT
futech-532	223	1	future	future	ADJ
futech-532	223	2	work	work	NOUN
futech-532	223	3	should	should	AUX
futech-532	223	4	validate	validate	VERB
futech-532	223	5	results	result	NOUN
futech-532	223	6	on	on	ADP
futech-532	223	7	naturally	naturally	ADV
futech-532	223	8	balanced	balance	VERB
futech-532	223	9	datasets	dataset	NOUN
futech-532	223	10	to	to	PART
futech-532	223	11	confirm	confirm	VERB
futech-532	223	12	robustness	robustness	NOUN
futech-532	223	13	.	.	PUNCT
futech-532	224	1	while	while	SCONJ
futech-532	224	2	feature	feature	NOUN
futech-532	224	3	selection	selection	NOUN
futech-532	224	4	and	and	CCONJ
futech-532	224	5	hyperparameter	hyperparameter	NOUN
futech-532	224	6	tuning	tuning	NOUN
futech-532	224	7	were	be	AUX
futech-532	224	8	carefully	carefully	ADV
futech-532	224	9	executed	execute	VERB
futech-532	224	10	,	,	PUNCT
futech-532	224	11	they	they	PRON
futech-532	224	12	were	be	AUX
futech-532	224	13	limited	limit	VERB
futech-532	224	14	to	to	ADP
futech-532	224	15	conventional	conventional	ADJ
futech-532	224	16	algorithms	algorithm	NOUN
futech-532	224	17	.	.	PUNCT
futech-532	225	1	the	the	DET
futech-532	225	2	use	use	NOUN
futech-532	225	3	of	of	ADP
futech-532	225	4	more	more	ADV
futech-532	225	5	advanced	advanced	ADJ
futech-532	225	6	methods	method	NOUN
futech-532	225	7	like	like	ADP
futech-532	225	8	bayesian	bayesian	NOUN
futech-532	225	9	optimization	optimization	NOUN
futech-532	225	10	or	or	CCONJ
futech-532	225	11	embedded	embed	VERB
futech-532	225	12	feature	feature	NOUN
futech-532	225	13	selection	selection	NOUN
futech-532	225	14	within	within	ADP
futech-532	225	15	ensemble	ensemble	ADJ
futech-532	225	16	frameworks	framework	NOUN
futech-532	225	17	could	could	AUX
futech-532	225	18	yield	yield	VERB
futech-532	225	19	even	even	ADV
futech-532	225	20	better	well	ADJ
futech-532	225	21	results	result	NOUN
futech-532	225	22	.	.	PUNCT
futech-532	226	1	the	the	DET
futech-532	226	2	model	model	NOUN
futech-532	226	3	architecture	architecture	NOUN
futech-532	226	4	relied	rely	VERB
futech-532	226	5	on	on	ADP
futech-532	226	6	classical	classical	ADJ
futech-532	226	7	machine	machine	NOUN
futech-532	226	8	learning	learning	NOUN
futech-532	226	9	algorithms	algorithm	NOUN
futech-532	226	10	,	,	PUNCT
futech-532	226	11	and	and	CCONJ
futech-532	226	12	while	while	SCONJ
futech-532	226	13	effective	effective	ADJ
futech-532	226	14	in	in	ADP
futech-532	226	15	this	this	DET
futech-532	226	16	setup	setup	NOUN
futech-532	226	17	,	,	PUNCT
futech-532	226	18	comparisons	comparison	NOUN
futech-532	226	19	with	with	ADP
futech-532	226	20	more	more	ADV
futech-532	226	21	modern	modern	ADJ
futech-532	226	22	deep	deep	ADJ
futech-532	226	23	neural	neural	ADJ
futech-532	226	24	architectures	architecture	NOUN
futech-532	226	25	were	be	AUX
futech-532	226	26	not	not	PART
futech-532	226	27	included	include	VERB
futech-532	226	28	within	within	ADP
futech-532	226	29	the	the	DET
futech-532	226	30	scope	scope	NOUN
futech-532	226	31	of	of	ADP
futech-532	226	32	this	this	DET
futech-532	226	33	study	study	NOUN
futech-532	226	34	.	.	PUNCT
futech-532	227	1	future	future	ADJ
futech-532	227	2	studies	study	NOUN
futech-532	227	3	should	should	AUX
futech-532	227	4	address	address	VERB
futech-532	227	5	these	these	DET
futech-532	227	6	constraints	constraint	NOUN
futech-532	227	7	by	by	ADP
futech-532	227	8	applying	apply	VERB
futech-532	227	9	automated	automate	VERB
futech-532	227	10	hyperparameter	hyperparameter	NOUN
futech-532	227	11	optimization	optimization	NOUN
futech-532	227	12	,	,	PUNCT
futech-532	227	13	testing	test	VERB
futech-532	227	14	on	on	ADP
futech-532	227	15	broader	broad	ADJ
futech-532	227	16	repositories	repository	NOUN
futech-532	227	17	,	,	PUNCT
futech-532	227	18	and	and	CCONJ
futech-532	227	19	integrating	integrate	VERB
futech-532	227	20	explainable	explainable	ADJ
futech-532	227	21	ai	ai	NOUN
futech-532	227	22	to	to	PART
futech-532	227	23	enhance	enhance	VERB
futech-532	227	24	model	model	NOUN
futech-532	227	25	scalability	scalability	NOUN
futech-532	227	26	and	and	CCONJ
futech-532	227	27	transparency	transparency	NOUN
futech-532	227	28	.	.	PUNCT
futech-532	228	1	findings	finding	NOUN
futech-532	228	2	from	from	ADP
futech-532	228	3	the	the	DET
futech-532	228	4	research	research	NOUN
futech-532	228	5	carry	carry	VERB
futech-532	228	6	substantial	substantial	ADJ
futech-532	228	7	implications	implication	NOUN
futech-532	228	8	for	for	ADP
futech-532	228	9	both	both	CCONJ
futech-532	228	10	academic	academic	ADJ
futech-532	228	11	and	and	CCONJ
futech-532	228	12	industrial	industrial	ADJ
futech-532	228	13	stakeholders	stakeholder	NOUN
futech-532	228	14	.	.	PUNCT
futech-532	229	1	in	in	ADP
futech-532	229	2	academic	academic	ADJ
futech-532	229	3	contexts	contexts	NOUN
futech-532	229	4	,	,	PUNCT
futech-532	229	5	the	the	DET
futech-532	229	6	results	result	NOUN
futech-532	229	7	affirm	affirm	VERB
futech-532	229	8	the	the	DET
futech-532	229	9	efficacy	efficacy	NOUN
futech-532	229	10	of	of	ADP
futech-532	229	11	integrating	integrate	VERB
futech-532	229	12	diverse	diverse	ADJ
futech-532	229	13	base	base	NOUN
futech-532	229	14	learners	learner	NOUN
futech-532	229	15	in	in	ADP
futech-532	229	16	a	a	DET
futech-532	229	17	stacked	stack	VERB
futech-532	229	18	ensemble	ensemble	ADJ
futech-532	229	19	structure	structure	NOUN
futech-532	229	20	,	,	PUNCT
futech-532	229	21	particularly	particularly	ADV
futech-532	229	22	when	when	SCONJ
futech-532	229	23	complemented	complement	VERB
futech-532	229	24	by	by	ADP
futech-532	229	25	strategic	strategic	ADJ
futech-532	229	26	data	datum	NOUN
futech-532	229	27	preprocessing	preprocessing	NOUN
futech-532	229	28	and	and	CCONJ
futech-532	229	29	feature	feature	NOUN
futech-532	229	30	engineering	engineering	NOUN
futech-532	229	31	.	.	PUNCT
futech-532	230	1	the	the	DET
futech-532	230	2	approach	approach	NOUN
futech-532	230	3	serves	serve	VERB
futech-532	230	4	as	as	ADP
futech-532	230	5	a	a	DET
futech-532	230	6	template	template	NOUN
futech-532	230	7	for	for	ADP
futech-532	230	8	future	future	ADJ
futech-532	230	9	experimental	experimental	ADJ
futech-532	230	10	setups	setup	NOUN
futech-532	230	11	using	use	VERB
futech-532	230	12	limited	limited	ADJ
futech-532	230	13	but	but	CCONJ
futech-532	230	14	balanced	balanced	ADJ
futech-532	230	15	datasets	dataset	NOUN
futech-532	230	16	.	.	PUNCT
futech-532	231	1	pk	pk	PROPN
futech-532	231	2	.	.	PROPN
futech-532	231	3	tamrakar	tamrakar	PROPN
futech-532	231	4	et	et	PROPN
futech-532	231	5	al	al	PROPN
futech-532	231	6	.	.	PROPN
futech-532	231	7	/future	/future	PUNCT
futech-532	231	8	technology	technology	PROPN
futech-532	231	9	february	february	PROPN
futech-532	231	10	2026|	2026|	NUM
futech-532	231	11	volume	volume	NOUN
futech-532	231	12	05	05	NUM
futech-532	232	1	|	|	ADV
futech-532	232	2	issue	issue	NOUN
futech-532	232	3	01	01	NUM
futech-532	233	1	|	|	ADV
futech-532	233	2	pages	page	VERB
futech-532	233	3	38	38	NUM
futech-532	233	4	-	-	SYM
futech-532	233	5	46	46	NUM
futech-532	233	6	45	45	NUM
futech-532	233	7	from	from	ADP
futech-532	233	8	an	an	DET
futech-532	233	9	industry	industry	NOUN
futech-532	233	10	perspective	perspective	NOUN
futech-532	233	11	,	,	PUNCT
futech-532	233	12	the	the	DET
futech-532	233	13	ensemble	ensemble	ADJ
futech-532	233	14	model	model	NOUN
futech-532	233	15	offers	offer	VERB
futech-532	233	16	a	a	DET
futech-532	233	17	low	low	ADJ
futech-532	233	18	-	-	PUNCT
futech-532	233	19	cost	cost	NOUN
futech-532	233	20	,	,	PUNCT
futech-532	233	21	high	high	ADJ
futech-532	233	22	-	-	PUNCT
futech-532	233	23	accuracy	accuracy	NOUN
futech-532	233	24	defect	defect	NOUN
futech-532	233	25	prediction	prediction	NOUN
futech-532	233	26	solution	solution	NOUN
futech-532	233	27	that	that	PRON
futech-532	233	28	can	can	AUX
futech-532	233	29	be	be	AUX
futech-532	233	30	embedded	embed	VERB
futech-532	233	31	within	within	ADP
futech-532	233	32	software	software	NOUN
futech-532	233	33	quality	quality	NOUN
futech-532	233	34	assurance	assurance	NOUN
futech-532	233	35	pipelines	pipeline	NOUN
futech-532	233	36	.	.	PUNCT
futech-532	234	1	the	the	DET
futech-532	234	2	real	real	ADJ
futech-532	234	3	-	-	PUNCT
futech-532	234	4	world	world	NOUN
futech-532	234	5	adoption	adoption	NOUN
futech-532	234	6	of	of	ADP
futech-532	234	7	predictive	predictive	ADJ
futech-532	234	8	models	model	NOUN
futech-532	234	9	hinges	hinge	VERB
futech-532	234	10	on	on	ADP
futech-532	234	11	their	their	PRON
futech-532	234	12	performance	performance	NOUN
futech-532	234	13	,	,	PUNCT
futech-532	234	14	interpretability	interpretability	NOUN
futech-532	234	15	,	,	PUNCT
futech-532	234	16	and	and	CCONJ
futech-532	234	17	ease	ease	NOUN
futech-532	234	18	of	of	ADP
futech-532	234	19	integration	integration	NOUN
futech-532	234	20	into	into	ADP
futech-532	234	21	existing	exist	VERB
futech-532	234	22	workflows	workflow	NOUN
futech-532	234	23	,	,	PUNCT
futech-532	234	24	all	all	PRON
futech-532	234	25	of	of	ADP
futech-532	234	26	which	which	PRON
futech-532	234	27	were	be	AUX
futech-532	234	28	considered	consider	VERB
futech-532	234	29	in	in	ADP
futech-532	234	30	the	the	DET
futech-532	234	31	present	present	ADJ
futech-532	234	32	design	design	NOUN
futech-532	234	33	[	[	X
futech-532	234	34	28	28	NUM
futech-532	234	35	,	,	PUNCT
futech-532	234	36	29	29	NUM
futech-532	234	37	]	]	PUNCT
futech-532	234	38	.	.	PUNCT
futech-532	235	1	future	future	ADJ
futech-532	235	2	work	work	NOUN
futech-532	235	3	will	will	AUX
futech-532	235	4	focus	focus	VERB
futech-532	235	5	on	on	ADP
futech-532	235	6	extending	extend	VERB
futech-532	235	7	the	the	DET
futech-532	235	8	model	model	NOUN
futech-532	235	9	to	to	ADP
futech-532	235	10	larger	large	ADJ
futech-532	235	11	,	,	PUNCT
futech-532	235	12	contemporary	contemporary	ADJ
futech-532	235	13	datasets	dataset	NOUN
futech-532	235	14	such	such	ADJ
futech-532	235	15	as	as	ADP
futech-532	235	16	github	github	NOUN
futech-532	235	17	and	and	CCONJ
futech-532	235	18	apache	apache	NOUN
futech-532	235	19	repositories	repository	NOUN
futech-532	235	20	to	to	PART
futech-532	235	21	validate	validate	VERB
futech-532	235	22	scalability	scalability	NOUN
futech-532	235	23	.	.	PUNCT
futech-532	236	1	integration	integration	NOUN
futech-532	236	2	into	into	ADP
futech-532	236	3	ci	ci	NOUN
futech-532	236	4	/	/	SYM
futech-532	236	5	cd	cd	NOUN
futech-532	236	6	pipelines	pipeline	NOUN
futech-532	236	7	can	can	AUX
futech-532	236	8	enable	enable	VERB
futech-532	236	9	real	real	ADJ
futech-532	236	10	-	-	PUNCT
futech-532	236	11	time	time	NOUN
futech-532	236	12	defect	defect	NOUN
futech-532	236	13	prediction	prediction	NOUN
futech-532	236	14	during	during	ADP
futech-532	236	15	software	software	NOUN
futech-532	236	16	builds	build	VERB
futech-532	236	17	.	.	PUNCT
futech-532	237	1	additionally	additionally	ADV
futech-532	237	2	,	,	PUNCT
futech-532	237	3	applying	apply	VERB
futech-532	237	4	explainable	explainable	ADJ
futech-532	237	5	ai	ai	NOUN
futech-532	237	6	tools	tool	NOUN
futech-532	237	7	such	such	ADJ
futech-532	237	8	as	as	ADP
futech-532	237	9	shap	shap	NOUN
futech-532	237	10	or	or	CCONJ
futech-532	237	11	lime	lime	NOUN
futech-532	237	12	will	will	AUX
futech-532	237	13	help	help	VERB
futech-532	237	14	interpret	interpret	VERB
futech-532	237	15	model	model	NOUN
futech-532	237	16	decisions	decision	NOUN
futech-532	237	17	and	and	CCONJ
futech-532	237	18	improve	improve	VERB
futech-532	237	19	stakeholder	stakeholder	NOUN
futech-532	237	20	confidence	confidence	NOUN
futech-532	237	21	in	in	ADP
futech-532	237	22	practical	practical	ADJ
futech-532	237	23	deployments	deployment	NOUN
futech-532	237	24	.	.	PUNCT
futech-532	238	1	6	6	X
futech-532	238	2	.	.	X
futech-532	238	3	conclusion	conclusion	NOUN
futech-532	238	4	this	this	DET
futech-532	238	5	study	study	NOUN
futech-532	238	6	presented	present	VERB
futech-532	238	7	a	a	DET
futech-532	238	8	general	general	ADJ
futech-532	238	9	and	and	CCONJ
futech-532	238	10	scalable	scalable	ADJ
futech-532	238	11	model	model	NOUN
futech-532	238	12	for	for	ADP
futech-532	238	13	software	software	NOUN
futech-532	238	14	defect	defect	NOUN
futech-532	238	15	prediction	prediction	NOUN
futech-532	238	16	that	that	PRON
futech-532	238	17	integrates	integrate	VERB
futech-532	238	18	recursive	recursive	ADJ
futech-532	238	19	feature	feature	NOUN
futech-532	238	20	elimination	elimination	NOUN
futech-532	238	21	,	,	PUNCT
futech-532	238	22	mutual	mutual	ADJ
futech-532	238	23	information	information	NOUN
futech-532	238	24	ranking	ranking	NOUN
futech-532	238	25	,	,	PUNCT
futech-532	238	26	and	and	CCONJ
futech-532	238	27	stacked	stack	VERB
futech-532	238	28	ensemble	ensemble	ADJ
futech-532	238	29	learning	learning	NOUN
futech-532	238	30	.	.	PUNCT
futech-532	239	1	by	by	ADP
futech-532	239	2	addressing	address	VERB
futech-532	239	3	critical	critical	ADJ
futech-532	239	4	challenges	challenge	NOUN
futech-532	239	5	such	such	ADJ
futech-532	239	6	as	as	ADP
futech-532	239	7	data	datum	NOUN
futech-532	239	8	imbalance	imbalance	NOUN
futech-532	239	9	,	,	PUNCT
futech-532	239	10	overfitting	overfitting	NOUN
futech-532	239	11	,	,	PUNCT
futech-532	239	12	and	and	CCONJ
futech-532	239	13	limited	limited	ADJ
futech-532	239	14	generalization	generalization	NOUN
futech-532	239	15	,	,	PUNCT
futech-532	239	16	the	the	DET
futech-532	239	17	proposed	propose	VERB
futech-532	239	18	model	model	NOUN
futech-532	239	19	achieved	achieve	VERB
futech-532	239	20	reliable	reliable	ADJ
futech-532	239	21	improvements	improvement	NOUN
futech-532	239	22	across	across	ADP
futech-532	239	23	nasa	nasa	PROPN
futech-532	239	24	benchmark	benchmark	NOUN
futech-532	239	25	datasets	dataset	NOUN
futech-532	239	26	,	,	PUNCT
futech-532	239	27	outperforming	outperform	VERB
futech-532	239	28	traditional	traditional	ADJ
futech-532	239	29	ensemble	ensemble	ADJ
futech-532	239	30	and	and	CCONJ
futech-532	239	31	single	single	ADJ
futech-532	239	32	classifiers	classifier	NOUN
futech-532	239	33	in	in	ADP
futech-532	239	34	all	all	DET
futech-532	239	35	evaluation	evaluation	NOUN
futech-532	239	36	metrics	metric	NOUN
futech-532	239	37	.	.	PUNCT
futech-532	240	1	the	the	DET
futech-532	240	2	findings	finding	NOUN
futech-532	240	3	confirm	confirm	VERB
futech-532	240	4	that	that	SCONJ
futech-532	240	5	heterogeneous	heterogeneous	ADJ
futech-532	240	6	stacking	stacking	NOUN
futech-532	240	7	achieved	achieve	VERB
futech-532	240	8	through	through	ADP
futech-532	240	9	the	the	DET
futech-532	240	10	diversity	diversity	NOUN
futech-532	240	11	of	of	ADP
futech-532	240	12	base	base	NOUN
futech-532	240	13	learners	learner	NOUN
futech-532	240	14	enhances	enhance	VERB
futech-532	240	15	both	both	DET
futech-532	240	16	predictive	predictive	ADJ
futech-532	240	17	accuracy	accuracy	NOUN
futech-532	240	18	and	and	CCONJ
futech-532	240	19	sensitivity	sensitivity	NOUN
futech-532	240	20	while	while	SCONJ
futech-532	240	21	maintaining	maintain	VERB
futech-532	240	22	interpretability	interpretability	NOUN
futech-532	240	23	and	and	CCONJ
futech-532	240	24	computational	computational	ADJ
futech-532	240	25	efficiency	efficiency	NOUN
futech-532	240	26	.	.	PUNCT
futech-532	241	1	the	the	DET
futech-532	241	2	statistically	statistically	ADV
futech-532	241	3	significant	significant	ADJ
futech-532	241	4	gains	gain	NOUN
futech-532	241	5	(	(	PUNCT
futech-532	241	6	p	p	X
futech-532	241	7	<	<	X
futech-532	241	8	0.05	0.05	NUM
futech-532	241	9	)	)	PUNCT
futech-532	241	10	validate	validate	VERB
futech-532	241	11	the	the	DET
futech-532	241	12	strength	strength	NOUN
futech-532	241	13	of	of	ADP
futech-532	241	14	the	the	DET
futech-532	241	15	presented	present	VERB
futech-532	241	16	method	method	NOUN
futech-532	241	17	and	and	CCONJ
futech-532	241	18	demonstrate	demonstrate	VERB
futech-532	241	19	that	that	SCONJ
futech-532	241	20	intelligent	intelligent	ADJ
futech-532	241	21	feature	feature	NOUN
futech-532	241	22	selection	selection	NOUN
futech-532	241	23	and	and	CCONJ
futech-532	241	24	class	class	NOUN
futech-532	241	25	balancing	balancing	NOUN
futech-532	241	26	are	be	AUX
futech-532	241	27	decisive	decisive	ADJ
futech-532	241	28	factors	factor	NOUN
futech-532	241	29	in	in	ADP
futech-532	241	30	optimising	optimise	VERB
futech-532	241	31	predictive	predictive	ADJ
futech-532	241	32	performance	performance	NOUN
futech-532	241	33	.	.	PUNCT
futech-532	242	1	beyond	beyond	ADP
futech-532	242	2	empirical	empirical	ADJ
futech-532	242	3	success	success	NOUN
futech-532	242	4	,	,	PUNCT
futech-532	242	5	this	this	DET
futech-532	242	6	research	research	NOUN
futech-532	242	7	contributes	contribute	VERB
futech-532	242	8	to	to	ADP
futech-532	242	9	both	both	CCONJ
futech-532	242	10	theoretical	theoretical	ADJ
futech-532	242	11	and	and	CCONJ
futech-532	242	12	practical	practical	ADJ
futech-532	242	13	knowledge	knowledge	NOUN
futech-532	242	14	in	in	ADP
futech-532	242	15	software	software	NOUN
futech-532	242	16	defect	defect	NOUN
futech-532	242	17	prediction	prediction	NOUN
futech-532	242	18	.	.	PUNCT
futech-532	243	1	the	the	DET
futech-532	243	2	study	study	NOUN
futech-532	243	3	reinforces	reinforce	VERB
futech-532	243	4	the	the	DET
futech-532	243	5	principle	principle	NOUN
futech-532	243	6	that	that	SCONJ
futech-532	243	7	integrating	integrate	VERB
futech-532	243	8	multiple	multiple	ADJ
futech-532	243	9	learners	learner	NOUN
futech-532	243	10	through	through	ADP
futech-532	243	11	optimal	optimal	ADJ
futech-532	243	12	meta	meta	ADJ
futech-532	243	13	-	-	PUNCT
futech-532	243	14	learning	learning	NOUN
futech-532	243	15	leads	lead	VERB
futech-532	243	16	to	to	ADP
futech-532	243	17	consistent	consistent	ADJ
futech-532	243	18	and	and	CCONJ
futech-532	243	19	reliable	reliable	ADJ
futech-532	243	20	outcomes	outcome	NOUN
futech-532	243	21	.	.	PUNCT
futech-532	244	1	in	in	ADP
futech-532	244	2	practical	practical	ADJ
futech-532	244	3	applications	application	NOUN
futech-532	244	4	,	,	PUNCT
futech-532	244	5	the	the	DET
futech-532	244	6	framework	framework	NOUN
futech-532	244	7	can	can	AUX
futech-532	244	8	be	be	AUX
futech-532	244	9	incorporated	incorporate	VERB
futech-532	244	10	into	into	ADP
futech-532	244	11	industrial	industrial	ADJ
futech-532	244	12	ci	ci	PROPN
futech-532	244	13	/	/	SYM
futech-532	244	14	cd	cd	NOUN
futech-532	244	15	pipelines	pipeline	NOUN
futech-532	244	16	to	to	PART
futech-532	244	17	enable	enable	VERB
futech-532	244	18	early	early	ADJ
futech-532	244	19	defect	defect	ADJ
futech-532	244	20	detection	detection	NOUN
futech-532	244	21	,	,	PUNCT
futech-532	244	22	efficient	efficient	ADJ
futech-532	244	23	resource	resource	NOUN
futech-532	244	24	allocation	allocation	NOUN
futech-532	244	25	,	,	PUNCT
futech-532	244	26	and	and	CCONJ
futech-532	244	27	improved	improved	ADJ
futech-532	244	28	software	software	NOUN
futech-532	244	29	reliability	reliability	NOUN
futech-532	244	30	.	.	PUNCT
futech-532	245	1	it	it	PRON
futech-532	245	2	offers	offer	VERB
futech-532	245	3	a	a	DET
futech-532	245	4	reproducible	reproducible	ADJ
futech-532	245	5	and	and	CCONJ
futech-532	245	6	cost	cost	NOUN
futech-532	245	7	-	-	PUNCT
futech-532	245	8	effective	effective	ADJ
futech-532	245	9	foundation	foundation	NOUN
futech-532	245	10	for	for	ADP
futech-532	245	11	organizations	organization	NOUN
futech-532	245	12	seeking	seek	VERB
futech-532	245	13	to	to	PART
futech-532	245	14	implement	implement	VERB
futech-532	245	15	predictive	predictive	ADJ
futech-532	245	16	analytics	analytic	NOUN
futech-532	245	17	without	without	ADP
futech-532	245	18	extensive	extensive	ADJ
futech-532	245	19	computational	computational	ADJ
futech-532	245	20	expense	expense	NOUN
futech-532	245	21	.	.	PUNCT
futech-532	246	1	although	although	SCONJ
futech-532	246	2	the	the	DET
futech-532	246	3	research	research	NOUN
futech-532	246	4	was	be	AUX
futech-532	246	5	restricted	restrict	VERB
futech-532	246	6	to	to	ADP
futech-532	246	7	a	a	DET
futech-532	246	8	balanced	balanced	ADJ
futech-532	246	9	subset	subset	NOUN
futech-532	246	10	of	of	ADP
futech-532	246	11	nasa	nasa	PROPN
futech-532	246	12	datasets	dataset	NOUN
futech-532	246	13	,	,	PUNCT
futech-532	246	14	its	its	PRON
futech-532	246	15	architecture	architecture	NOUN
futech-532	246	16	provides	provide	VERB
futech-532	246	17	a	a	DET
futech-532	246	18	solid	solid	ADJ
futech-532	246	19	basis	basis	NOUN
futech-532	246	20	for	for	ADP
futech-532	246	21	future	future	ADJ
futech-532	246	22	studies	study	NOUN
futech-532	246	23	involving	involve	VERB
futech-532	246	24	more	more	ADV
futech-532	246	25	sophisticated	sophisticated	ADJ
futech-532	246	26	meta	meta	ADJ
futech-532	246	27	-	-	PUNCT
futech-532	246	28	learners	learner	NOUN
futech-532	246	29	,	,	PUNCT
futech-532	246	30	bayesian	bayesian	NOUN
futech-532	246	31	hyperparameter	hyperparameter	NOUN
futech-532	246	32	optimization	optimization	NOUN
futech-532	246	33	,	,	PUNCT
futech-532	246	34	and	and	CCONJ
futech-532	246	35	explainable	explainable	ADJ
futech-532	246	36	ai	ai	ADJ
futech-532	246	37	components	component	NOUN
futech-532	246	38	.	.	PUNCT
futech-532	247	1	overall	overall	ADV
futech-532	247	2	,	,	PUNCT
futech-532	247	3	this	this	DET
futech-532	247	4	work	work	NOUN
futech-532	247	5	advances	advance	VERB
futech-532	247	6	the	the	DET
futech-532	247	7	growing	grow	VERB
futech-532	247	8	field	field	NOUN
futech-532	247	9	of	of	ADP
futech-532	247	10	intelligent	intelligent	ADJ
futech-532	247	11	software	software	NOUN
futech-532	247	12	analytics	analytic	NOUN
futech-532	247	13	by	by	ADP
futech-532	247	14	delivering	deliver	VERB
futech-532	247	15	a	a	DET
futech-532	247	16	robust	robust	ADJ
futech-532	247	17	,	,	PUNCT
futech-532	247	18	interpretable	interpretable	ADJ
futech-532	247	19	,	,	PUNCT
futech-532	247	20	and	and	CCONJ
futech-532	247	21	scalable	scalable	ADJ
futech-532	247	22	defect	defect	NOUN
futech-532	247	23	prediction	prediction	NOUN
futech-532	247	24	paradigm	paradigm	NOUN
futech-532	247	25	that	that	PRON
futech-532	247	26	bridges	bridge	VERB
futech-532	247	27	the	the	DET
futech-532	247	28	gap	gap	NOUN
futech-532	247	29	between	between	ADP
futech-532	247	30	machine	machine	NOUN
futech-532	247	31	learning	learn	VERB
futech-532	247	32	theory	theory	NOUN
futech-532	247	33	and	and	CCONJ
futech-532	247	34	practical	practical	ADJ
futech-532	247	35	software	software	NOUN
futech-532	247	36	engineering	engineering	NOUN
futech-532	247	37	.	.	PUNCT
futech-532	248	1	ethical	ethical	ADJ
futech-532	248	2	issue	issue	NOUN
futech-532	248	3	the	the	DET
futech-532	248	4	authors	author	NOUN
futech-532	248	5	are	be	AUX
futech-532	248	6	aware	aware	ADJ
futech-532	248	7	of	of	ADP
futech-532	248	8	and	and	CCONJ
futech-532	248	9	comply	comply	ADJ
futech-532	248	10	with	with	ADP
futech-532	248	11	best	good	ADJ
futech-532	248	12	practices	practice	NOUN
futech-532	248	13	in	in	ADP
futech-532	248	14	publication	publication	NOUN
futech-532	248	15	ethics	ethic	NOUN
futech-532	248	16	,	,	PUNCT
futech-532	248	17	specifically	specifically	ADV
futech-532	248	18	regarding	regard	VERB
futech-532	248	19	authorship	authorship	NOUN
futech-532	248	20	(	(	PUNCT
futech-532	248	21	avoidance	avoidance	NOUN
futech-532	248	22	of	of	ADP
futech-532	248	23	guest	guest	NOUN
futech-532	248	24	authorship	authorship	NOUN
futech-532	248	25	)	)	PUNCT
futech-532	248	26	,	,	PUNCT
futech-532	248	27	dual	dual	ADJ
futech-532	248	28	submission	submission	NOUN
futech-532	248	29	,	,	PUNCT
futech-532	248	30	manipulation	manipulation	NOUN
futech-532	248	31	of	of	ADP
futech-532	248	32	figures	figure	NOUN
futech-532	248	33	,	,	PUNCT
futech-532	248	34	competing	compete	VERB
futech-532	248	35	interests	interest	NOUN
futech-532	248	36	,	,	PUNCT
futech-532	248	37	and	and	CCONJ
futech-532	248	38	compliance	compliance	NOUN
futech-532	248	39	with	with	ADP
futech-532	248	40	research	research	NOUN
futech-532	248	41	ethics	ethic	NOUN
futech-532	248	42	policies	policy	NOUN
futech-532	248	43	.	.	PUNCT
futech-532	249	1	the	the	DET
futech-532	249	2	authors	author	NOUN
futech-532	249	3	adhere	adhere	VERB
futech-532	249	4	to	to	ADP
futech-532	249	5	publication	publication	NOUN
futech-532	249	6	requirements	requirement	NOUN
futech-532	249	7	that	that	SCONJ
futech-532	249	8	the	the	DET
futech-532	249	9	submitted	submit	VERB
futech-532	249	10	work	work	NOUN
futech-532	249	11	is	be	AUX
futech-532	249	12	original	original	ADJ
futech-532	249	13	and	and	CCONJ
futech-532	249	14	has	have	AUX
futech-532	249	15	not	not	PART
futech-532	249	16	been	be	AUX
futech-532	249	17	published	publish	VERB
futech-532	249	18	elsewhere	elsewhere	ADV
futech-532	249	19	.	.	PUNCT
futech-532	250	1	data	datum	NOUN
futech-532	250	2	availability	availability	NOUN
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futech-532	250	5	manuscript	manuscript	NOUN
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futech-532	250	7	all	all	DET
futech-532	250	8	the	the	DET
futech-532	250	9	data	datum	NOUN
futech-532	250	10	.	.	PUNCT
futech-532	251	1	however	however	ADV
futech-532	251	2	,	,	PUNCT
futech-532	251	3	more	more	ADJ
futech-532	251	4	data	datum	NOUN
futech-532	251	5	will	will	AUX
futech-532	251	6	be	be	AUX
futech-532	251	7	available	available	ADJ
futech-532	251	8	upon	upon	SCONJ
futech-532	251	9	request	request	NOUN
futech-532	251	10	from	from	ADP
futech-532	251	11	the	the	DET
futech-532	251	12	corresponding	corresponding	ADJ
futech-532	251	13	author	author	NOUN
futech-532	251	14	.	.	PUNCT
futech-532	252	1	conflict	conflict	NOUN
futech-532	252	2	of	of	ADP
futech-532	252	3	interest	interest	NOUN
futech-532	252	4	the	the	DET
futech-532	252	5	authors	author	NOUN
futech-532	252	6	declare	declare	VERB
futech-532	252	7	no	no	DET
futech-532	252	8	potential	potential	ADJ
futech-532	252	9	conflict	conflict	NOUN
futech-532	252	10	of	of	ADP
futech-532	252	11	interest	interest	NOUN
futech-532	252	12	.	.	PUNCT
futech-532	253	1	references	reference	NOUN
futech-532	253	2	[	[	X
futech-532	253	3	1	1	NUM
futech-532	253	4	]	]	PUNCT
futech-532	253	5	a.	a.	NOUN
futech-532	253	6	alazba	alazba	NOUN
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futech-532	253	11	“	"	PUNCT
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futech-532	253	13	defect	defect	NOUN
futech-532	253	14	prediction	prediction	NOUN
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futech-532	253	16	stacking	stack	VERB
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futech-532	253	18	of	of	ADP
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futech-532	253	20	tree	tree	NOUN
futech-532	253	21	-	-	PUNCT
futech-532	253	22	based	base	VERB
futech-532	253	23	ensembles	ensemble	NOUN
futech-532	253	24	,	,	PUNCT
futech-532	253	25	”	"	PUNCT
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futech-532	253	36	,	,	PUNCT
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futech-532	253	39	,	,	PUNCT
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futech-532	253	41	.	.	PROPN
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futech-532	253	43	,	,	PUNCT
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futech-532	254	3	]	]	PUNCT
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futech-532	254	14	,	,	PUNCT
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futech-532	265	28	:	:	PUNCT
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futech-532	277	16	,	,	PUNCT
futech-532	277	17	”	"	PUNCT
futech-532	277	18	in	in	ADP
futech-532	277	19	proc	proc	NOUN
futech-532	277	20	.	.	PUNCT
futech-532	277	21	6th	6th	ADJ
futech-532	277	22	int	int	PROPN
futech-532	277	23	.	.	PUNCT
futech-532	277	24	conf	conf	NOUN
futech-532	277	25	.	.	PUNCT
futech-532	278	1	parallel	parallel	NOUN
futech-532	278	2	,	,	PUNCT
futech-532	278	3	distributed	distribute	VERB
futech-532	278	4	and	and	CCONJ
futech-532	278	5	grid	grid	NOUN
futech-532	278	6	computing	computing	NOUN
futech-532	278	7	(	(	PUNCT
futech-532	278	8	pdgc	pdgc	NOUN
futech-532	278	9	)	)	PUNCT
futech-532	278	10	,	,	PUNCT
futech-532	278	11	nov	nov	PROPN
futech-532	278	12	.	.	PROPN
futech-532	278	13	2020	2020	NUM
futech-532	278	14	,	,	PUNCT
futech-532	278	15	pp	pp	ADP
futech-532	278	16	.	.	PUNCT
futech-532	279	1	126–130	126–130	NUM
futech-532	279	2	,	,	PUNCT
futech-532	279	3	doi	doi	NOUN
futech-532	279	4	:	:	PUNCT
futech-532	279	5	10.1109	10.1109	NUM
futech-532	279	6	/	/	SYM
futech-532	279	7	pdgc50313.2020.9315754	pdgc50313.2020.9315754	NOUN
futech-532	279	8	.	.	PUNCT
futech-532	280	1	[	[	X
futech-532	280	2	14	14	NUM
futech-532	280	3	]	]	PUNCT
futech-532	280	4	m.	m.	NOUN
futech-532	280	5	cetiner	cetiner	NOUN
futech-532	280	6	and	and	CCONJ
futech-532	280	7	o.	o.	PROPN
futech-532	280	8	k.	k.	PROPN
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futech-532	280	10	,	,	PUNCT
futech-532	280	11	“	"	PUNCT
futech-532	280	12	a	a	DET
futech-532	280	13	comparative	comparative	ADJ
futech-532	280	14	analysis	analysis	NOUN
futech-532	280	15	for	for	ADP
futech-532	280	16	machine	machine	NOUN
futech-532	280	17	learning	learning	NOUN
futech-532	280	18	based	base	VERB
futech-532	280	19	software	software	NOUN
futech-532	280	20	defect	defect	NOUN
futech-532	280	21	prediction	prediction	NOUN
futech-532	280	22	systems	system	NOUN
futech-532	280	23	,	,	PUNCT
futech-532	280	24	”	"	PUNCT
futech-532	280	25	in	in	ADP
futech-532	280	26	proc	proc	NOUN
futech-532	280	27	.	.	PUNCT
futech-532	281	1	11th	11th	ADJ
futech-532	281	2	int	int	NOUN
futech-532	281	3	.	.	PUNCT
futech-532	281	4	conf	conf	NOUN
futech-532	281	5	.	.	PUNCT
futech-532	282	1	computing	computing	NOUN
futech-532	282	2	,	,	PUNCT
futech-532	282	3	communication	communication	NOUN
futech-532	282	4	and	and	CCONJ
futech-532	282	5	networking	networking	NOUN
futech-532	282	6	technologies	technology	NOUN
futech-532	282	7	(	(	PUNCT
futech-532	282	8	icccnt	icccnt	ADJ
futech-532	282	9	)	)	PUNCT
futech-532	282	10	,	,	PUNCT
futech-532	282	11	jul	jul	PROPN
futech-532	282	12	.	.	PROPN
futech-532	282	13	2020	2020	NUM
futech-532	282	14	,	,	PUNCT
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futech-532	282	16	.	.	PUNCT
futech-532	283	1	1–7	1–7	NUM
futech-532	283	2	,	,	PUNCT
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futech-532	283	4	:	:	PUNCT
futech-532	283	5	10.1109	10.1109	NUM
futech-532	283	6	/	/	SYM
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futech-532	283	8	.	.	PUNCT
futech-532	284	1	[	[	X
futech-532	284	2	15	15	NUM
futech-532	284	3	]	]	X
futech-532	284	4	a.	a.	NOUN
futech-532	284	5	iqbal	iqbal	PROPN
futech-532	284	6	,	,	PUNCT
futech-532	284	7	s.	s.	PROPN
futech-532	284	8	aftab	aftab	PROPN
futech-532	284	9	,	,	PUNCT
futech-532	284	10	i.	i.	PROPN
futech-532	284	11	ullah	ullah	PROPN
futech-532	284	12	,	,	PUNCT
futech-532	284	13	m.	m.	NOUN
futech-532	284	14	s.	s.	PROPN
futech-532	284	15	bashir	bashir	PROPN
futech-532	284	16	,	,	PUNCT
futech-532	284	17	and	and	CCONJ
futech-532	284	18	m.	m.	PROPN
futech-532	284	19	a.	a.	PROPN
futech-532	284	20	saeed	saeed	PROPN
futech-532	284	21	,	,	PUNCT
futech-532	284	22	“	"	PUNCT
futech-532	284	23	a	a	DET
futech-532	284	24	feature	feature	NOUN
futech-532	284	25	selection	selection	NOUN
futech-532	284	26	based	base	VERB
futech-532	284	27	ensemble	ensemble	ADJ
futech-532	284	28	classification	classification	NOUN
futech-532	284	29	framework	framework	NOUN
futech-532	284	30	for	for	ADP
futech-532	284	31	software	software	NOUN
futech-532	284	32	defect	defect	NOUN
futech-532	284	33	prediction	prediction	NOUN
futech-532	284	34	,	,	PUNCT
futech-532	284	35	”	"	PUNCT
futech-532	284	36	international	international	ADJ
futech-532	284	37	journal	journal	NOUN
futech-532	284	38	of	of	ADP
futech-532	284	39	modern	modern	ADJ
futech-532	284	40	education	education	NOUN
futech-532	284	41	and	and	CCONJ
futech-532	284	42	computer	computer	NOUN
futech-532	284	43	science	science	NOUN
futech-532	284	44	,	,	PUNCT
futech-532	284	45	vol	vol	NOUN
futech-532	284	46	.	.	PROPN
futech-532	284	47	11	11	NUM
futech-532	284	48	,	,	PUNCT
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futech-532	284	50	.	.	NOUN
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futech-532	284	52	,	,	PUNCT
futech-532	284	53	pp	pp	ADJ
futech-532	284	54	.	.	PUNCT
futech-532	285	1	54–63	54–63	NUM
futech-532	285	2	,	,	PUNCT
futech-532	285	3	sep	sep	PROPN
futech-532	285	4	.	.	PROPN
futech-532	286	1	2019	2019	NUM
futech-532	286	2	,	,	PUNCT
futech-532	286	3	doi	doi	NOUN
futech-532	286	4	:	:	PUNCT
futech-532	286	5	10.5815	10.5815	NUM
futech-532	286	6	/	/	SYM
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futech-532	286	8	.	.	PUNCT
futech-532	287	1	[	[	X
futech-532	287	2	16	16	NUM
futech-532	287	3	]	]	PUNCT
futech-532	287	4	a.	a.	NOUN
futech-532	287	5	khalid	khalid	PROPN
futech-532	287	6	,	,	PUNCT
futech-532	287	7	g.	g.	PROPN
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futech-532	287	9	,	,	PUNCT
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futech-532	287	14	shiraz	shiraz	PROPN
futech-532	287	15	,	,	PUNCT
futech-532	287	16	and	and	CCONJ
futech-532	287	17	m.	m.	NOUN
futech-532	287	18	ghouse	ghouse	NOUN
futech-532	287	19	,	,	PUNCT
futech-532	287	20	“	"	PUNCT
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futech-532	287	22	defect	defect	NOUN
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futech-532	287	24	analysis	analysis	NOUN
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futech-532	287	26	machine	machine	NOUN
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futech-532	287	29	,	,	PUNCT
futech-532	287	30	”	"	PUNCT
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futech-532	287	32	,	,	PUNCT
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futech-532	287	34	.	.	PROPN
futech-532	287	35	15	15	NUM
futech-532	287	36	,	,	PUNCT
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futech-532	287	39	6	6	NUM
futech-532	287	40	,	,	PUNCT
futech-532	287	41	p.	p.	NOUN
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futech-532	287	43	,	,	PUNCT
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futech-532	287	47	,	,	PUNCT
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futech-532	287	53	.	.	PUNCT
futech-532	288	1	[	[	X
futech-532	288	2	17	17	NUM
futech-532	288	3	]	]	PUNCT
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futech-532	288	5	s.	s.	PROPN
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futech-532	288	7	and	and	CCONJ
futech-532	288	8	s.	s.	PROPN
futech-532	288	9	kumar	kumar	PROPN
futech-532	288	10	,	,	PUNCT
futech-532	288	11	“	"	PUNCT
futech-532	288	12	an	an	DET
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futech-532	288	14	study	study	NOUN
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futech-532	288	16	ensemble	ensemble	ADJ
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futech-532	288	18	for	for	ADP
futech-532	288	19	software	software	NOUN
futech-532	288	20	fault	fault	NOUN
futech-532	288	21	prediction	prediction	NOUN
futech-532	288	22	,	,	PUNCT
futech-532	288	23	”	"	PUNCT
futech-532	288	24	applied	apply	VERB
futech-532	288	25	intelligence	intelligence	NOUN
futech-532	288	26	,	,	PUNCT
futech-532	288	27	vol	vol	NOUN
futech-532	288	28	.	.	PROPN
futech-532	289	1	51	51	NUM
futech-532	289	2	,	,	PUNCT
futech-532	289	3	pp	pp	ADJ
futech-532	289	4	.	.	PUNCT
futech-532	290	1	3615–3644	3615–3644	NUM
futech-532	290	2	,	,	PUNCT
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futech-532	290	4	.	.	PROPN
futech-532	290	5	2021	2021	NUM
futech-532	290	6	,	,	PUNCT
futech-532	290	7	doi	doi	NOUN
futech-532	290	8	:	:	PUNCT
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futech-532	290	10	/	/	SYM
futech-532	290	11	s10489	s10489	NOUN
futech-532	290	12	-	-	PUNCT
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futech-532	290	14	-	-	PUNCT
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futech-532	290	16	-	-	PUNCT
futech-532	290	17	6	6	NUM
futech-532	290	18	.	.	PUNCT
futech-532	291	1	[	[	X
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futech-532	291	13	and	and	CCONJ
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futech-532	291	26	,	,	PUNCT
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futech-532	291	31	,	,	PUNCT
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futech-532	291	35	,	,	PUNCT
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futech-532	291	37	.	.	PUNCT
futech-532	292	1	199–209	199–209	NUM
futech-532	292	2	,	,	PUNCT
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futech-532	292	6	,	,	PUNCT
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futech-532	292	8	:	:	PUNCT
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futech-532	294	6	,	,	PUNCT
futech-532	294	7	pp	pp	ADJ
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futech-532	295	2	,	,	PUNCT
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futech-532	295	6	,	,	PUNCT
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futech-532	295	8	:	:	PUNCT
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futech-532	295	10	/	/	SYM
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futech-532	295	14	-	-	PUNCT
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futech-532	295	16	-	-	PUNCT
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futech-532	296	1	[	[	X
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futech-532	296	17	“	"	PUNCT
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futech-532	296	20	based	base	VERB
futech-532	296	21	software	software	NOUN
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futech-532	297	2	,	,	PUNCT
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futech-532	297	6	,	,	PUNCT
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futech-532	297	8	:	:	PUNCT
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futech-532	297	10	/	/	SYM
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futech-532	314	2	,	,	PUNCT
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futech-532	314	7	icoei48184.2020.9142909	icoei48184.2020.9142909	NOUN
futech-532	314	8	.	.	PUNCT
futech-532	315	1	[	[	X
futech-532	315	2	29	29	NUM
futech-532	315	3	]	]	X
futech-532	315	4	t.	t.	NOUN
futech-532	315	5	siddiqui	siddiqui	NOUN
futech-532	315	6	and	and	CCONJ
futech-532	315	7	m.	m.	NOUN
futech-532	315	8	mustaqeem	mustaqeem	PROPN
futech-532	315	9	,	,	PUNCT
futech-532	315	10	“	"	PUNCT
futech-532	315	11	performance	performance	NOUN
futech-532	315	12	evaluation	evaluation	NOUN
futech-532	315	13	of	of	ADP
futech-532	315	14	software	software	NOUN
futech-532	315	15	defect	defect	NOUN
futech-532	315	16	prediction	prediction	NOUN
futech-532	315	17	with	with	ADP
futech-532	315	18	nasa	nasa	PROPN
futech-532	315	19	dataset	dataset	NOUN
futech-532	315	20	using	use	VERB
futech-532	315	21	machine	machine	NOUN
futech-532	315	22	learning	learning	NOUN
futech-532	315	23	techniques	technique	NOUN
futech-532	315	24	,	,	PUNCT
futech-532	315	25	”	"	PUNCT
futech-532	315	26	international	international	ADJ
futech-532	315	27	journal	journal	NOUN
futech-532	315	28	of	of	ADP
futech-532	315	29	information	information	NOUN
futech-532	315	30	technology	technology	NOUN
futech-532	315	31	,	,	PUNCT
futech-532	315	32	vol	vol	NOUN
futech-532	315	33	.	.	PROPN
futech-532	315	34	15	15	NUM
futech-532	315	35	,	,	PUNCT
futech-532	315	36	no	no	INTJ
futech-532	315	37	.	.	NOUN
futech-532	315	38	8	8	NUM
futech-532	315	39	,	,	PUNCT
futech-532	315	40	pp	pp	ADJ
futech-532	315	41	.	.	PUNCT
futech-532	316	1	4131–4139	4131–4139	NUM
futech-532	316	2	,	,	PUNCT
futech-532	316	3	dec	dec	PROPN
futech-532	316	4	.	.	PROPN
futech-532	316	5	2023	2023	NUM
futech-532	316	6	,	,	PUNCT
futech-532	316	7	doi	doi	NOUN
futech-532	316	8	:	:	PUNCT
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futech-532	316	10	/	/	SYM
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futech-532	316	12	-	-	PUNCT
futech-532	316	13	023	023	NUM
futech-532	316	14	-	-	PUNCT
futech-532	316	15	01528	01528	NUM
futech-532	316	16	-	-	SYM
futech-532	316	17	9	9	NUM
futech-532	316	18	.	.	PUNCT
futech-532	317	1	this	this	DET
futech-532	317	2	article	article	NOUN
futech-532	317	3	is	be	AUX
futech-532	317	4	an	an	DET
futech-532	317	5	open	open	ADJ
futech-532	317	6	-	-	PUNCT
futech-532	317	7	access	access	NOUN
futech-532	317	8	article	article	NOUN
futech-532	317	9	distributed	distribute	VERB
futech-532	317	10	under	under	ADP
futech-532	317	11	the	the	DET
futech-532	317	12	terms	term	NOUN
futech-532	317	13	and	and	CCONJ
futech-532	317	14	conditions	condition	NOUN
futech-532	317	15	of	of	ADP
futech-532	317	16	the	the	DET
futech-532	317	17	creative	creative	ADJ
futech-532	317	18	commons	common	NOUN
futech-532	317	19	attribution	attribution	NOUN
futech-532	317	20	(	(	PUNCT
futech-532	317	21	cc	cc	NOUN
futech-532	317	22	by	by	ADP
futech-532	317	23	)	)	PUNCT
futech-532	317	24	license	license	NOUN
futech-532	317	25	(	(	PUNCT
futech-532	317	26	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
futech-532	317	27	)	)	PUNCT
futech-532	317	28	.	.	PUNCT
futech-532	318	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN