id	sid	tid	token	lemma	pos
cana-3493	1	1	communications	communication	NOUN
cana-3493	1	2	on	on	ADP
cana-3493	1	3	applied	apply	VERB
cana-3493	1	4	nonlinear	nonlinear	ADJ
cana-3493	1	5	analysis	analysis	NOUN
cana-3493	1	6	issn	issn	NOUN
cana-3493	1	7	:	:	PUNCT
cana-3493	1	8	1074	1074	NUM
cana-3493	1	9	-	-	PUNCT
cana-3493	1	10	133x	133x	NUM
cana-3493	1	11	vol	vol	NOUN
cana-3493	1	12	32	32	NUM
cana-3493	1	13	no	no	NOUN
cana-3493	1	14	.	.	PUNCT
cana-3493	2	1	7s	7	NOUN
cana-3493	2	2	(	(	PUNCT
cana-3493	2	3	2025	2025	NUM
cana-3493	2	4	)	)	PUNCT
cana-3493	2	5	889	889	NUM
cana-3493	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	2	7	hybrid	hybrid	ADJ
cana-3493	2	8	deep	deep	ADJ
cana-3493	2	9	learning	learning	NOUN
cana-3493	2	10	framework	framework	NOUN
cana-3493	2	11	for	for	ADP
cana-3493	2	12	real	real	ADJ
cana-3493	2	13	-	-	PUNCT
cana-3493	2	14	time	time	NOUN
cana-3493	2	15	source	source	NOUN
cana-3493	2	16	code	code	NOUN
cana-3493	2	17	vulnerability	vulnerability	NOUN
cana-3493	2	18	detection	detection	NOUN
cana-3493	2	19	gunda	gunda	PROPN
cana-3493	2	20	brahma	brahma	PROPN
cana-3493	2	21	sagara1	sagara1	PROPN
cana-3493	2	22	,	,	PUNCT
cana-3493	2	23	*	*	PUNCT
cana-3493	2	24	dr	dr	PROPN
cana-3493	2	25	g	g	PROPN
cana-3493	2	26	bala	bala	PROPN
cana-3493	2	27	krishna2	krishna2	PROPN
cana-3493	2	28	,	,	PUNCT
cana-3493	2	29	sandeep	sandeep	PROPN
cana-3493	2	30	singh	singh	PROPN
cana-3493	2	31	rawat3	rawat3	PROPN
cana-3493	3	1	1research	1research	NUM
cana-3493	3	2	scholar	scholar	NOUN
cana-3493	3	3	,	,	PUNCT
cana-3493	3	4	department	department	NOUN
cana-3493	3	5	of	of	ADP
cana-3493	3	6	computer	computer	NOUN
cana-3493	3	7	science	science	NOUN
cana-3493	3	8	and	and	CCONJ
cana-3493	3	9	engineering	engineering	NOUN
cana-3493	3	10	,	,	PUNCT
cana-3493	3	11	anurag	anurag	PROPN
cana-3493	3	12	university	university	PROPN
cana-3493	3	13	,	,	PUNCT
cana-3493	3	14	ts	ts	NOUN
cana-3493	3	15	,	,	PUNCT
cana-3493	3	16	india	india	PROPN
cana-3493	3	17	2associate	2associate	PROPN
cana-3493	3	18	professor	professor	NOUN
cana-3493	3	19	,	,	PUNCT
cana-3493	3	20	department	department	NOUN
cana-3493	3	21	of	of	ADP
cana-3493	3	22	computer	computer	NOUN
cana-3493	3	23	science	science	NOUN
cana-3493	3	24	and	and	CCONJ
cana-3493	3	25	engineering	engineering	NOUN
cana-3493	3	26	,	,	PUNCT
cana-3493	3	27	anurag	anurag	PROPN
cana-3493	3	28	university	university	PROPN
cana-3493	3	29	,	,	PUNCT
cana-3493	3	30	india	india	PROPN
cana-3493	3	31	3professor	3professor	NUM
cana-3493	3	32	,	,	PUNCT
cana-3493	3	33	school	school	NOUN
cana-3493	3	34	of	of	ADP
cana-3493	3	35	computer	computer	PROPN
cana-3493	3	36	&	&	CCONJ
cana-3493	3	37	amp	amp	PROPN
cana-3493	3	38	;	;	PUNCT
cana-3493	3	39	information	information	NOUN
cana-3493	3	40	sciences	sciences	PROPN
cana-3493	3	41	,	,	PUNCT
cana-3493	3	42	ignou	ignou	PROPN
cana-3493	3	43	,	,	PUNCT
cana-3493	3	44	new	new	PROPN
cana-3493	3	45	delhi	delhi	PROPN
cana-3493	3	46	,	,	PUNCT
cana-3493	3	47	india	india	PROPN
cana-3493	3	48	corresponding	corresponding	PROPN
cana-3493	3	49	author	author	NOUN
cana-3493	3	50	:	:	PUNCT
cana-3493	3	51	me2balu@gmail.com	me2balu@gmail.com	X
cana-3493	3	52	article	article	NOUN
cana-3493	3	53	history	history	NOUN
cana-3493	3	54	:	:	PUNCT
cana-3493	3	55	received	receive	VERB
cana-3493	3	56	:	:	PUNCT
cana-3493	3	57	28	28	NUM
cana-3493	3	58	-	-	SYM
cana-3493	3	59	10	10	NUM
cana-3493	3	60	-	-	PUNCT
cana-3493	3	61	2024	2024	NUM
cana-3493	3	62	revised:12	revised:12	NOUN
cana-3493	3	63	-	-	PUNCT
cana-3493	3	64	11	11	NUM
cana-3493	3	65	-	-	PUNCT
cana-3493	3	66	2024	2024	NUM
cana-3493	3	67	accepted:19	accepted:19	VERB
cana-3493	3	68	-	-	PUNCT
cana-3493	3	69	12	12	NUM
cana-3493	3	70	-	-	PUNCT
cana-3493	3	71	2024	2024	NUM
cana-3493	3	72	abstract	abstract	NOUN
cana-3493	3	73	:	:	PUNCT
cana-3493	3	74	source	source	NOUN
cana-3493	3	75	code	code	NOUN
cana-3493	3	76	vulnerabilities	vulnerability	NOUN
cana-3493	3	77	threaten	threaten	VERB
cana-3493	3	78	software	software	NOUN
cana-3493	3	79	security	security	NOUN
cana-3493	3	80	,	,	PUNCT
cana-3493	3	81	making	make	VERB
cana-3493	3	82	detection	detection	NOUN
cana-3493	3	83	essential	essential	ADJ
cana-3493	3	84	in	in	ADP
cana-3493	3	85	modern	modern	ADJ
cana-3493	3	86	development	development	NOUN
cana-3493	3	87	.	.	PUNCT
cana-3493	4	1	traditional	traditional	ADJ
cana-3493	4	2	methods	method	NOUN
cana-3493	4	3	like	like	ADP
cana-3493	4	4	static	static	ADJ
cana-3493	4	5	and	and	CCONJ
cana-3493	4	6	dynamic	dynamic	ADJ
cana-3493	4	7	analysis	analysis	NOUN
cana-3493	4	8	often	often	ADV
cana-3493	4	9	fail	fail	VERB
cana-3493	4	10	due	due	ADJ
cana-3493	4	11	to	to	ADP
cana-3493	4	12	high	high	ADJ
cana-3493	4	13	false	false	ADJ
cana-3493	4	14	positives	positive	NOUN
cana-3493	4	15	and	and	CCONJ
cana-3493	4	16	limited	limited	ADJ
cana-3493	4	17	scalability	scalability	NOUN
cana-3493	4	18	.	.	PUNCT
cana-3493	5	1	this	this	DET
cana-3493	5	2	work	work	NOUN
cana-3493	5	3	introduces	introduce	VERB
cana-3493	5	4	a	a	DET
cana-3493	5	5	hybrid	hybrid	ADJ
cana-3493	5	6	deep	deep	ADJ
cana-3493	5	7	learning	learning	NOUN
cana-3493	5	8	framework	framework	NOUN
cana-3493	5	9	using	use	VERB
cana-3493	5	10	cnns	cnn	NOUN
cana-3493	5	11	,	,	PUNCT
cana-3493	5	12	lstms	lstms	ADJ
cana-3493	5	13	,	,	PUNCT
cana-3493	5	14	and	and	CCONJ
cana-3493	5	15	code	code	NOUN
cana-3493	5	16	embeddings	embedding	NOUN
cana-3493	5	17	to	to	PART
cana-3493	5	18	detect	detect	VERB
cana-3493	5	19	vulnerabilities	vulnerability	NOUN
cana-3493	5	20	in	in	ADP
cana-3493	5	21	real	real	ADJ
cana-3493	5	22	time	time	NOUN
cana-3493	5	23	.	.	PUNCT
cana-3493	6	1	incorporating	incorporate	VERB
cana-3493	6	2	abstract	abstract	ADJ
cana-3493	6	3	syntax	syntax	NOUN
cana-3493	6	4	trees	tree	NOUN
cana-3493	6	5	(	(	PUNCT
cana-3493	6	6	asts	ast	NOUN
cana-3493	6	7	)	)	PUNCT
cana-3493	6	8	and	and	CCONJ
cana-3493	6	9	graph	graph	VERB
cana-3493	6	10	neural	neural	ADJ
cana-3493	6	11	networks	network	NOUN
cana-3493	6	12	(	(	PUNCT
cana-3493	6	13	gnns	gnns	NOUN
cana-3493	6	14	)	)	PUNCT
cana-3493	6	15	,	,	PUNCT
cana-3493	6	16	the	the	DET
cana-3493	6	17	system	system	NOUN
cana-3493	6	18	ensures	ensure	VERB
cana-3493	6	19	structural	structural	ADJ
cana-3493	6	20	representation	representation	NOUN
cana-3493	6	21	and	and	CCONJ
cana-3493	6	22	program	program	NOUN
cana-3493	6	23	semantics	semantic	NOUN
cana-3493	6	24	analysis	analysis	NOUN
cana-3493	6	25	.	.	PUNCT
cana-3493	7	1	integrated	integrate	VERB
cana-3493	7	2	into	into	ADP
cana-3493	7	3	ci	ci	NOUN
cana-3493	7	4	/	/	SYM
cana-3493	7	5	cd	cd	NOUN
cana-3493	7	6	pipelines	pipeline	NOUN
cana-3493	7	7	,	,	PUNCT
cana-3493	7	8	the	the	DET
cana-3493	7	9	approach	approach	NOUN
cana-3493	7	10	improves	improve	VERB
cana-3493	7	11	precision	precision	NOUN
cana-3493	7	12	,	,	PUNCT
cana-3493	7	13	recall	recall	NOUN
cana-3493	7	14	,	,	PUNCT
cana-3493	7	15	and	and	CCONJ
cana-3493	7	16	f1	f1	NOUN
cana-3493	7	17	-	-	PUNCT
cana-3493	7	18	score	score	NOUN
cana-3493	7	19	(	(	PUNCT
cana-3493	7	20	up	up	ADP
cana-3493	7	21	to	to	PART
cana-3493	7	22	96.25	96.25	NUM
cana-3493	7	23	%	%	NOUN
cana-3493	7	24	)	)	PUNCT
cana-3493	7	25	while	while	SCONJ
cana-3493	7	26	reducing	reduce	VERB
cana-3493	7	27	false	false	ADJ
cana-3493	7	28	positives	positive	NOUN
cana-3493	7	29	and	and	CCONJ
cana-3493	7	30	delays	delay	NOUN
cana-3493	7	31	.	.	PUNCT
cana-3493	8	1	keyword	keyword	NOUN
cana-3493	8	2	:	:	PUNCT
cana-3493	8	3	source	source	NOUN
cana-3493	8	4	code	code	NOUN
cana-3493	8	5	vulnerability	vulnerability	NOUN
cana-3493	8	6	detection	detection	NOUN
cana-3493	8	7	,	,	PUNCT
cana-3493	8	8	deep	deep	ADJ
cana-3493	8	9	learning	learning	NOUN
cana-3493	8	10	,	,	PUNCT
cana-3493	8	11	convolutional	convolutional	ADJ
cana-3493	8	12	neural	neural	ADJ
cana-3493	8	13	networks	network	NOUN
cana-3493	8	14	(	(	PUNCT
cana-3493	8	15	cnns	cnns	PROPN
cana-3493	8	16	)	)	PUNCT
cana-3493	8	17	,	,	PUNCT
cana-3493	8	18	long	long	ADJ
cana-3493	8	19	short	short	ADJ
cana-3493	8	20	-	-	PUNCT
cana-3493	8	21	term	term	NOUN
cana-3493	8	22	memory	memory	NOUN
cana-3493	8	23	networks	network	NOUN
cana-3493	8	24	(	(	PUNCT
cana-3493	8	25	lstms	lstms	ADJ
cana-3493	8	26	)	)	PUNCT
cana-3493	8	27	,	,	PUNCT
cana-3493	8	28	abstract	abstract	ADJ
cana-3493	8	29	syntax	syntax	NOUN
cana-3493	8	30	tree	tree	NOUN
cana-3493	8	31	(	(	PUNCT
cana-3493	8	32	ast	ast	NOUN
cana-3493	8	33	)	)	PUNCT
cana-3493	8	34	,	,	PUNCT
cana-3493	8	35	code	code	NOUN
cana-3493	8	36	embeddings	embedding	NOUN
cana-3493	8	37	,	,	PUNCT
cana-3493	8	38	graph	graph	NOUN
cana-3493	8	39	neural	neural	ADJ
cana-3493	8	40	networks	network	NOUN
cana-3493	8	41	(	(	PUNCT
cana-3493	8	42	gnns	gnns	NOUN
cana-3493	8	43	)	)	PUNCT
cana-3493	8	44	.	.	PUNCT
cana-3493	9	1	1	1	X
cana-3493	9	2	.	.	X
cana-3493	9	3	introduction	introduction	NOUN
cana-3493	9	4	1.1	1.1	NUM
cana-3493	9	5	introduction	introduction	NOUN
cana-3493	9	6	to	to	PART
cana-3493	9	7	source	source	VERB
cana-3493	9	8	code	code	NOUN
cana-3493	9	9	vulnerability	vulnerability	NOUN
cana-3493	9	10	detection	detection	NOUN
cana-3493	9	11	in	in	ADP
cana-3493	9	12	the	the	DET
cana-3493	9	13	rapidly	rapidly	ADV
cana-3493	9	14	evolving	evolve	VERB
cana-3493	9	15	landscape	landscape	NOUN
cana-3493	9	16	of	of	ADP
cana-3493	9	17	software	software	NOUN
cana-3493	9	18	development	development	NOUN
cana-3493	9	19	,	,	PUNCT
cana-3493	9	20	ensuring	ensure	VERB
cana-3493	9	21	the	the	DET
cana-3493	9	22	security	security	NOUN
cana-3493	9	23	and	and	CCONJ
cana-3493	9	24	reliability	reliability	NOUN
cana-3493	9	25	of	of	ADP
cana-3493	9	26	source	source	NOUN
cana-3493	9	27	code	code	NOUN
cana-3493	9	28	has	have	AUX
cana-3493	9	29	become	become	VERB
cana-3493	9	30	a	a	DET
cana-3493	9	31	critical	critical	ADJ
cana-3493	9	32	challenge	challenge	NOUN
cana-3493	9	33	.	.	PUNCT
cana-3493	10	1	with	with	ADP
cana-3493	10	2	increasing	increase	VERB
cana-3493	10	3	sophistication	sophistication	NOUN
cana-3493	10	4	in	in	ADP
cana-3493	10	5	cyberattacks	cyberattack	NOUN
cana-3493	10	6	and	and	CCONJ
cana-3493	10	7	the	the	DET
cana-3493	10	8	growing	grow	VERB
cana-3493	10	9	complexity	complexity	NOUN
cana-3493	10	10	of	of	ADP
cana-3493	10	11	software	software	NOUN
cana-3493	10	12	systems	system	NOUN
cana-3493	10	13	,	,	PUNCT
cana-3493	10	14	vulnerabilities	vulnerability	NOUN
cana-3493	10	15	in	in	ADP
cana-3493	10	16	source	source	NOUN
cana-3493	10	17	code	code	NOUN
cana-3493	10	18	represent	represent	VERB
cana-3493	10	19	significant	significant	ADJ
cana-3493	10	20	risks	risk	NOUN
cana-3493	10	21	,	,	PUNCT
cana-3493	10	22	potentially	potentially	ADV
cana-3493	10	23	leading	lead	VERB
cana-3493	10	24	to	to	ADP
cana-3493	10	25	data	data	NOUN
cana-3493	10	26	breaches	breach	NOUN
cana-3493	10	27	,	,	PUNCT
cana-3493	10	28	financial	financial	ADJ
cana-3493	10	29	losses	loss	NOUN
cana-3493	10	30	,	,	PUNCT
cana-3493	10	31	and	and	CCONJ
cana-3493	10	32	reputational	reputational	ADJ
cana-3493	10	33	damage	damage	NOUN
cana-3493	10	34	.	.	PUNCT
cana-3493	11	1	traditional	traditional	ADJ
cana-3493	11	2	methods	method	NOUN
cana-3493	11	3	such	such	ADJ
cana-3493	11	4	as	as	ADP
cana-3493	11	5	static	static	ADJ
cana-3493	11	6	and	and	CCONJ
cana-3493	11	7	dynamic	dynamic	ADJ
cana-3493	11	8	analysis	analysis	NOUN
cana-3493	11	9	have	have	AUX
cana-3493	11	10	been	be	AUX
cana-3493	11	11	widely	widely	ADV
cana-3493	11	12	used	use	VERB
cana-3493	11	13	for	for	ADP
cana-3493	11	14	vulnerability	vulnerability	NOUN
cana-3493	11	15	detection	detection	NOUN
cana-3493	11	16	,	,	PUNCT
cana-3493	11	17	but	but	CCONJ
cana-3493	11	18	they	they	PRON
cana-3493	11	19	often	often	ADV
cana-3493	11	20	suffer	suffer	VERB
cana-3493	11	21	from	from	ADP
cana-3493	11	22	limitations	limitation	NOUN
cana-3493	11	23	such	such	ADJ
cana-3493	11	24	as	as	ADP
cana-3493	11	25	high	high	ADJ
cana-3493	11	26	false	false	ADJ
cana-3493	11	27	positive	positive	ADJ
cana-3493	11	28	rates	rate	NOUN
cana-3493	11	29	,	,	PUNCT
cana-3493	11	30	lack	lack	NOUN
cana-3493	11	31	of	of	ADP
cana-3493	11	32	scalability	scalability	NOUN
cana-3493	11	33	,	,	PUNCT
cana-3493	11	34	and	and	CCONJ
cana-3493	11	35	inability	inability	NOUN
cana-3493	11	36	to	to	PART
cana-3493	11	37	detect	detect	VERB
cana-3493	11	38	complex	complex	ADJ
cana-3493	11	39	vulnerabilities	vulnerability	NOUN
cana-3493	11	40	.	.	PUNCT
cana-3493	12	1	as	as	ADP
cana-3493	12	2	a	a	DET
cana-3493	12	3	result	result	NOUN
cana-3493	12	4	,	,	PUNCT
cana-3493	12	5	there	there	PRON
cana-3493	12	6	is	be	VERB
cana-3493	12	7	a	a	DET
cana-3493	12	8	pressing	press	VERB
cana-3493	12	9	need	need	NOUN
cana-3493	12	10	for	for	ADP
cana-3493	12	11	innovative	innovative	ADJ
cana-3493	12	12	approaches	approach	NOUN
cana-3493	12	13	that	that	PRON
cana-3493	12	14	combine	combine	VERB
cana-3493	12	15	accuracy	accuracy	NOUN
cana-3493	12	16	,	,	PUNCT
cana-3493	12	17	scalability	scalability	NOUN
cana-3493	12	18	,	,	PUNCT
cana-3493	12	19	and	and	CCONJ
cana-3493	12	20	automation	automation	NOUN
cana-3493	12	21	.	.	PUNCT
cana-3493	13	1	advancements	advancement	NOUN
cana-3493	13	2	in	in	ADP
cana-3493	13	3	machine	machine	NOUN
cana-3493	13	4	learning	learning	NOUN
cana-3493	13	5	(	(	PUNCT
cana-3493	13	6	ml	ml	NOUN
cana-3493	13	7	)	)	PUNCT
cana-3493	13	8	and	and	CCONJ
cana-3493	13	9	deep	deep	ADJ
cana-3493	13	10	learning	learning	NOUN
cana-3493	13	11	(	(	PUNCT
cana-3493	13	12	dl	dl	INTJ
cana-3493	13	13	)	)	PUNCT
cana-3493	13	14	offer	offer	VERB
cana-3493	13	15	promising	promise	VERB
cana-3493	13	16	solutions	solution	NOUN
cana-3493	13	17	for	for	ADP
cana-3493	13	18	automating	automate	VERB
cana-3493	13	19	and	and	CCONJ
cana-3493	13	20	enhancing	enhance	VERB
cana-3493	13	21	source	source	NOUN
cana-3493	13	22	code	code	NOUN
cana-3493	13	23	vulnerability	vulnerability	NOUN
cana-3493	13	24	detection	detection	NOUN
cana-3493	13	25	.	.	PUNCT
cana-3493	14	1	techniques	technique	NOUN
cana-3493	14	2	such	such	ADJ
cana-3493	14	3	as	as	ADP
cana-3493	14	4	code	code	NOUN
cana-3493	14	5	embeddings	embedding	NOUN
cana-3493	14	6	,	,	PUNCT
cana-3493	14	7	neural	neural	ADJ
cana-3493	14	8	networks	network	NOUN
cana-3493	14	9	,	,	PUNCT
cana-3493	14	10	and	and	CCONJ
cana-3493	14	11	graph	graph	NOUN
cana-3493	14	12	-	-	PUNCT
cana-3493	14	13	based	base	VERB
cana-3493	14	14	analysis	analysis	NOUN
cana-3493	14	15	have	have	AUX
cana-3493	14	16	demonstrated	demonstrate	VERB
cana-3493	14	17	their	their	PRON
cana-3493	14	18	ability	ability	NOUN
cana-3493	14	19	to	to	PART
cana-3493	14	20	identify	identify	VERB
cana-3493	14	21	vulnerabilities	vulnerability	NOUN
cana-3493	14	22	with	with	ADP
cana-3493	14	23	higher	high	ADJ
cana-3493	14	24	accuracy	accuracy	NOUN
cana-3493	14	25	and	and	CCONJ
cana-3493	14	26	efficiency	efficiency	NOUN
cana-3493	14	27	.	.	PUNCT
cana-3493	15	1	for	for	ADP
cana-3493	15	2	instance	instance	NOUN
cana-3493	15	3	,	,	PUNCT
cana-3493	15	4	models	model	NOUN
cana-3493	15	5	like	like	ADP
cana-3493	15	6	vuldeepecker	vuldeepecker	NOUN
cana-3493	15	7	leverage	leverage	NOUN
cana-3493	15	8	deep	deep	ADJ
cana-3493	15	9	learning	learning	NOUN
cana-3493	15	10	architectures	architecture	NOUN
cana-3493	15	11	to	to	PART
cana-3493	15	12	analyze	analyze	VERB
cana-3493	15	13	semantic	semantic	ADJ
cana-3493	15	14	features	feature	NOUN
cana-3493	15	15	of	of	ADP
cana-3493	15	16	code	code	NOUN
cana-3493	15	17	,	,	PUNCT
cana-3493	15	18	while	while	SCONJ
cana-3493	15	19	approaches	approach	NOUN
cana-3493	15	20	such	such	ADJ
cana-3493	15	21	as	as	ADP
cana-3493	15	22	code2vec	code2vec	PUNCT
cana-3493	15	23	generate	generate	VERB
cana-3493	15	24	meaningful	meaningful	ADJ
cana-3493	15	25	embeddings	embedding	NOUN
cana-3493	15	26	to	to	PART
cana-3493	15	27	capture	capture	VERB
cana-3493	15	28	code	code	NOUN
cana-3493	15	29	patterns	pattern	NOUN
cana-3493	15	30	.	.	PUNCT
cana-3493	16	1	mailto:me2balu@gmail.com	mailto:me2balu@gmail.com	X
cana-3493	16	2	communications	communication	NOUN
cana-3493	16	3	on	on	ADP
cana-3493	16	4	applied	apply	VERB
cana-3493	16	5	nonlinear	nonlinear	ADJ
cana-3493	16	6	analysis	analysis	NOUN
cana-3493	16	7	issn	issn	NOUN
cana-3493	16	8	:	:	PUNCT
cana-3493	16	9	1074	1074	NUM
cana-3493	16	10	-	-	PUNCT
cana-3493	16	11	133x	133x	NUM
cana-3493	16	12	vol	vol	NOUN
cana-3493	16	13	32	32	NUM
cana-3493	16	14	no	no	NOUN
cana-3493	16	15	.	.	PUNCT
cana-3493	17	1	7s	7	NOUN
cana-3493	17	2	(	(	PUNCT
cana-3493	17	3	2025	2025	NUM
cana-3493	17	4	)	)	PUNCT
cana-3493	17	5	890	890	NUM
cana-3493	17	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	17	7	fig	fig	NOUN
cana-3493	17	8	1	1	NUM
cana-3493	17	9	:	:	PUNCT
cana-3493	17	10	workflow	workflow	NOUN
cana-3493	17	11	for	for	ADP
cana-3493	17	12	distributed	distribute	VERB
cana-3493	17	13	and	and	CCONJ
cana-3493	17	14	office	office	NOUN
cana-3493	17	15	-	-	PUNCT
cana-3493	17	16	based	base	VERB
cana-3493	17	17	development	development	NOUN
cana-3493	17	18	moreover	moreover	ADV
cana-3493	17	19	,	,	PUNCT
cana-3493	17	20	the	the	DET
cana-3493	17	21	integration	integration	NOUN
cana-3493	17	22	of	of	ADP
cana-3493	17	23	hybrid	hybrid	ADJ
cana-3493	17	24	methods	method	NOUN
cana-3493	17	25	,	,	PUNCT
cana-3493	17	26	combining	combine	VERB
cana-3493	17	27	static	static	ADJ
cana-3493	17	28	and	and	CCONJ
cana-3493	17	29	dynamic	dynamic	ADJ
cana-3493	17	30	analysis	analysis	NOUN
cana-3493	17	31	,	,	PUNCT
cana-3493	17	32	has	have	AUX
cana-3493	17	33	proven	prove	VERB
cana-3493	17	34	effective	effective	ADJ
cana-3493	17	35	in	in	ADP
cana-3493	17	36	reducing	reduce	VERB
cana-3493	17	37	false	false	ADJ
cana-3493	17	38	positives	positive	NOUN
cana-3493	17	39	and	and	CCONJ
cana-3493	17	40	uncovering	uncover	VERB
cana-3493	17	41	runtime	runtime	NOUN
cana-3493	17	42	-	-	PUNCT
cana-3493	17	43	specific	specific	ADJ
cana-3493	17	44	vulnerabilities	vulnerability	NOUN
cana-3493	17	45	.	.	PUNCT
cana-3493	18	1	this	this	DET
cana-3493	18	2	paper	paper	NOUN
cana-3493	18	3	explores	explore	VERB
cana-3493	18	4	advanced	advanced	ADJ
cana-3493	18	5	methodologies	methodology	NOUN
cana-3493	18	6	for	for	ADP
cana-3493	18	7	source	source	NOUN
cana-3493	18	8	code	code	NOUN
cana-3493	18	9	vulnerability	vulnerability	NOUN
cana-3493	18	10	detection	detection	NOUN
cana-3493	18	11	,	,	PUNCT
cana-3493	18	12	emphasizing	emphasize	VERB
cana-3493	18	13	the	the	DET
cana-3493	18	14	role	role	NOUN
cana-3493	18	15	of	of	ADP
cana-3493	18	16	hybrid	hybrid	ADJ
cana-3493	18	17	deep	deep	ADJ
cana-3493	18	18	learning	learning	NOUN
cana-3493	18	19	models	model	NOUN
cana-3493	18	20	,	,	PUNCT
cana-3493	18	21	feature	feature	NOUN
cana-3493	18	22	extraction	extraction	NOUN
cana-3493	18	23	through	through	ADP
cana-3493	18	24	code	code	NOUN
cana-3493	18	25	embeddings	embedding	NOUN
cana-3493	18	26	,	,	PUNCT
cana-3493	18	27	and	and	CCONJ
cana-3493	18	28	integration	integration	NOUN
cana-3493	18	29	into	into	ADP
cana-3493	18	30	software	software	NOUN
cana-3493	18	31	development	development	NOUN
cana-3493	18	32	life	life	NOUN
cana-3493	18	33	cycles	cycle	NOUN
cana-3493	18	34	(	(	PUNCT
cana-3493	18	35	sdlc	sdlc	NOUN
cana-3493	18	36	)	)	PUNCT
cana-3493	18	37	.	.	PUNCT
cana-3493	19	1	by	by	ADP
cana-3493	19	2	addressing	address	VERB
cana-3493	19	3	the	the	DET
cana-3493	19	4	limitations	limitation	NOUN
cana-3493	19	5	of	of	ADP
cana-3493	19	6	traditional	traditional	ADJ
cana-3493	19	7	methods	method	NOUN
cana-3493	19	8	and	and	CCONJ
cana-3493	19	9	leveraging	leverage	VERB
cana-3493	19	10	ai	ai	NOUN
cana-3493	19	11	-	-	PUNCT
cana-3493	19	12	driven	drive	VERB
cana-3493	19	13	techniques	technique	NOUN
cana-3493	19	14	,	,	PUNCT
cana-3493	19	15	this	this	DET
cana-3493	19	16	study	study	NOUN
cana-3493	19	17	aims	aim	VERB
cana-3493	19	18	to	to	PART
cana-3493	19	19	contribute	contribute	VERB
cana-3493	19	20	to	to	ADP
cana-3493	19	21	the	the	DET
cana-3493	19	22	development	development	NOUN
cana-3493	19	23	of	of	ADP
cana-3493	19	24	robust	robust	ADJ
cana-3493	19	25	,	,	PUNCT
cana-3493	19	26	scalable	scalable	ADJ
cana-3493	19	27	,	,	PUNCT
cana-3493	19	28	and	and	CCONJ
cana-3493	19	29	accurate	accurate	ADJ
cana-3493	19	30	vulnerability	vulnerability	NOUN
cana-3493	19	31	detection	detection	NOUN
cana-3493	19	32	systems	system	NOUN
cana-3493	19	33	that	that	PRON
cana-3493	19	34	align	align	VERB
cana-3493	19	35	with	with	ADP
cana-3493	19	36	modern	modern	ADJ
cana-3493	19	37	software	software	NOUN
cana-3493	19	38	engineering	engineering	NOUN
cana-3493	19	39	practices	practice	NOUN
cana-3493	19	40	.	.	PUNCT
cana-3493	20	1	1.2	1.2	NUM
cana-3493	20	2	contribution	contribution	NOUN
cana-3493	20	3	this	this	DET
cana-3493	20	4	work	work	NOUN
cana-3493	20	5	systematically	systematically	ADV
cana-3493	20	6	addressed	address	VERB
cana-3493	20	7	the	the	DET
cana-3493	20	8	challenges	challenge	NOUN
cana-3493	20	9	faced	face	VERB
cana-3493	20	10	by	by	ADP
cana-3493	20	11	existing	exist	VERB
cana-3493	20	12	methods	method	NOUN
cana-3493	20	13	:	:	PUNCT
cana-3493	20	14	•	•	NUM
cana-3493	20	15	static	static	ADJ
cana-3493	20	16	analysis	analysis	NOUN
cana-3493	20	17	tools	tool	NOUN
cana-3493	20	18	lack	lack	VERB
cana-3493	20	19	semantic	semantic	ADJ
cana-3493	20	20	understanding	understanding	NOUN
cana-3493	20	21	,	,	PUNCT
cana-3493	20	22	and	and	CCONJ
cana-3493	20	23	dynamic	dynamic	ADJ
cana-3493	20	24	tools	tool	NOUN
cana-3493	20	25	are	be	AUX
cana-3493	20	26	resource	resource	NOUN
cana-3493	20	27	-	-	PUNCT
cana-3493	20	28	intensive	intensive	ADJ
cana-3493	20	29	.	.	PUNCT
cana-3493	21	1	•	•	NUM
cana-3493	21	2	traditional	traditional	ADJ
cana-3493	21	3	ml	ml	NOUN
cana-3493	21	4	methods	method	NOUN
cana-3493	21	5	struggle	struggle	VERB
cana-3493	21	6	with	with	ADP
cana-3493	21	7	code	code	NOUN
cana-3493	21	8	complexity	complexity	NOUN
cana-3493	21	9	and	and	CCONJ
cana-3493	21	10	scalability	scalability	NOUN
cana-3493	21	11	.	.	PUNCT
cana-3493	22	1	•	•	NUM
cana-3493	22	2	the	the	DET
cana-3493	22	3	proposed	propose	VERB
cana-3493	22	4	framework	framework	NOUN
cana-3493	22	5	overcomes	overcome	VERB
cana-3493	22	6	these	these	DET
cana-3493	22	7	limitations	limitation	NOUN
cana-3493	22	8	by	by	ADP
cana-3493	22	9	combining	combine	VERB
cana-3493	22	10	the	the	DET
cana-3493	22	11	strengths	strength	NOUN
cana-3493	22	12	of	of	ADP
cana-3493	22	13	deep	deep	ADJ
cana-3493	22	14	learning	learning	NOUN
cana-3493	22	15	and	and	CCONJ
cana-3493	22	16	structural	structural	ADJ
cana-3493	22	17	analysis	analysis	NOUN
cana-3493	22	18	.	.	PUNCT
cana-3493	23	1	2	2	X
cana-3493	23	2	.	.	X
cana-3493	23	3	related	relate	VERB
cana-3493	23	4	work	work	NOUN
cana-3493	23	5	static	static	ADJ
cana-3493	23	6	code	code	NOUN
cana-3493	23	7	analysis	analysis	NOUN
cana-3493	23	8	tools	tool	NOUN
cana-3493	23	9	like	like	ADP
cana-3493	23	10	findbugs	findbug	NOUN
cana-3493	23	11	and	and	CCONJ
cana-3493	23	12	pmd	pmd	PROPN
cana-3493	23	13	analyze	analyze	PROPN
cana-3493	23	14	code	code	PROPN
cana-3493	23	15	without	without	ADP
cana-3493	23	16	executing	execute	VERB
cana-3493	23	17	it	it	PRON
cana-3493	23	18	,	,	PUNCT
cana-3493	23	19	identifying	identify	VERB
cana-3493	23	20	potential	potential	ADJ
cana-3493	23	21	vulnerabilities	vulnerability	NOUN
cana-3493	23	22	based	base	VERB
cana-3493	23	23	on	on	ADP
cana-3493	23	24	predefined	predefine	VERB
cana-3493	23	25	rules	rule	NOUN
cana-3493	23	26	.	.	PUNCT
cana-3493	24	1	however	however	ADV
cana-3493	24	2	,	,	PUNCT
cana-3493	24	3	these	these	DET
cana-3493	24	4	tools	tool	NOUN
cana-3493	24	5	struggle	struggle	VERB
cana-3493	24	6	with	with	ADP
cana-3493	24	7	complex	complex	ADJ
cana-3493	24	8	vulnerabilities	vulnerability	NOUN
cana-3493	24	9	and	and	CCONJ
cana-3493	24	10	produce	produce	VERB
cana-3493	24	11	a	a	DET
cana-3493	24	12	high	high	ADJ
cana-3493	24	13	number	number	NOUN
cana-3493	24	14	of	of	ADP
cana-3493	24	15	false	false	ADJ
cana-3493	24	16	positives	positive	NOUN
cana-3493	24	17	[	[	X
cana-3493	24	18	1	1	NUM
cana-3493	24	19	]	]	PUNCT
cana-3493	24	20	.	.	PUNCT
cana-3493	25	1	research	research	NOUN
cana-3493	25	2	has	have	AUX
cana-3493	25	3	shifted	shift	VERB
cana-3493	25	4	towards	towards	ADP
cana-3493	25	5	machine	machine	NOUN
cana-3493	25	6	learning	learn	VERB
cana-3493	25	7	to	to	PART
cana-3493	25	8	automate	automate	VERB
cana-3493	25	9	vulnerability	vulnerability	NOUN
cana-3493	25	10	detection	detection	NOUN
cana-3493	25	11	.	.	PUNCT
cana-3493	26	1	techniques	technique	NOUN
cana-3493	26	2	include	include	VERB
cana-3493	26	3	:	:	PUNCT
cana-3493	26	4	support	support	NOUN
cana-3493	26	5	vector	vector	NOUN
cana-3493	26	6	machines	machine	NOUN
cana-3493	26	7	(	(	PUNCT
cana-3493	26	8	svms	svms	NOUN
cana-3493	26	9	)	)	PUNCT
cana-3493	26	10	used	use	VERB
cana-3493	26	11	for	for	ADP
cana-3493	26	12	binary	binary	ADJ
cana-3493	26	13	classification	classification	NOUN
cana-3493	26	14	of	of	ADP
cana-3493	26	15	vulnerable	vulnerable	ADJ
cana-3493	26	16	and	and	CCONJ
cana-3493	26	17	nonvulnerable	nonvulnerable	ADJ
cana-3493	26	18	code	code	NOUN
cana-3493	26	19	.	.	PUNCT
cana-3493	27	1	decision	decision	NOUN
cana-3493	27	2	trees	tree	NOUN
cana-3493	27	3	help	help	VERB
cana-3493	27	4	in	in	ADP
cana-3493	27	5	feature	feature	NOUN
cana-3493	27	6	selection	selection	NOUN
cana-3493	27	7	for	for	ADP
cana-3493	27	8	analyzing	analyze	VERB
cana-3493	27	9	code	code	NOUN
cana-3493	27	10	structures	structure	NOUN
cana-3493	27	11	.	.	PUNCT
cana-3493	28	1	deep	deep	ADJ
cana-3493	28	2	learning	learning	NOUN
cana-3493	28	3	(	(	PUNCT
cana-3493	28	4	dl	dl	NOUN
cana-3493	28	5	)	)	PUNCT
cana-3493	28	6	models	model	NOUN
cana-3493	28	7	like	like	ADP
cana-3493	28	8	cnns	cnn	NOUN
cana-3493	28	9	and	and	CCONJ
cana-3493	28	10	rnns	rnn	NOUN
cana-3493	28	11	have	have	AUX
cana-3493	28	12	shown	show	VERB
cana-3493	28	13	promise	promise	NOUN
cana-3493	28	14	for	for	ADP
cana-3493	28	15	learning	learn	VERB
cana-3493	28	16	code	code	NOUN
cana-3493	28	17	patterns[2	patterns[2	PROPN
cana-3493	28	18	]	]	PUNCT
cana-3493	28	19	.	.	PUNCT
cana-3493	29	1	fig	fig	NOUN
cana-3493	29	2	2	2	NUM
cana-3493	29	3	:	:	PUNCT
cana-3493	29	4	possible	possible	ADJ
cana-3493	29	5	origins	origin	NOUN
cana-3493	29	6	of	of	ADP
cana-3493	29	7	software	software	NOUN
cana-3493	29	8	vulnerabilities	vulnerability	NOUN
cana-3493	29	9	in	in	ADP
cana-3493	29	10	traditional	traditional	ADJ
cana-3493	29	11	sdlc	sdlc	NOUN
cana-3493	29	12	communications	communication	NOUN
cana-3493	29	13	on	on	ADP
cana-3493	29	14	applied	apply	VERB
cana-3493	29	15	nonlinear	nonlinear	ADJ
cana-3493	29	16	analysis	analysis	NOUN
cana-3493	29	17	issn	issn	NOUN
cana-3493	29	18	:	:	PUNCT
cana-3493	29	19	1074	1074	NUM
cana-3493	29	20	-	-	PUNCT
cana-3493	29	21	133x	133x	NUM
cana-3493	29	22	vol	vol	NOUN
cana-3493	29	23	32	32	NUM
cana-3493	29	24	no	no	NOUN
cana-3493	29	25	.	.	PUNCT
cana-3493	30	1	7s	7	NOUN
cana-3493	30	2	(	(	PUNCT
cana-3493	30	3	2025	2025	NUM
cana-3493	30	4	)	)	PUNCT
cana-3493	30	5	891	891	NUM
cana-3493	30	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	30	7	representing	represent	VERB
cana-3493	30	8	source	source	NOUN
cana-3493	30	9	code	code	NOUN
cana-3493	30	10	as	as	ADP
cana-3493	30	11	embeddings	embedding	NOUN
cana-3493	30	12	has	have	AUX
cana-3493	30	13	been	be	AUX
cana-3493	30	14	critical	critical	ADJ
cana-3493	30	15	in	in	ADP
cana-3493	30	16	improving	improve	VERB
cana-3493	30	17	model	model	NOUN
cana-3493	30	18	performance	performance	NOUN
cana-3493	30	19	.	.	PUNCT
cana-3493	31	1	models	model	NOUN
cana-3493	31	2	like	like	ADP
cana-3493	31	3	code2vec	code2vec	X
cana-3493	31	4	and	and	CCONJ
cana-3493	31	5	codebert	codebert	NOUN
cana-3493	31	6	create	create	VERB
cana-3493	31	7	semantic	semantic	ADJ
cana-3493	31	8	representations	representation	NOUN
cana-3493	31	9	of	of	ADP
cana-3493	31	10	code	code	NOUN
cana-3493	31	11	to	to	PART
cana-3493	31	12	capture	capture	VERB
cana-3493	31	13	both	both	CCONJ
cana-3493	31	14	syntactic	syntactic	ADJ
cana-3493	31	15	and	and	CCONJ
cana-3493	31	16	semantic	semantic	ADJ
cana-3493	31	17	features	feature	NOUN
cana-3493	31	18	[	[	X
cana-3493	31	19	3	3	NUM
cana-3493	31	20	]	]	PUNCT
cana-3493	31	21	.	.	PUNCT
cana-3493	32	1	hybrid	hybrid	ADJ
cana-3493	32	2	approaches	approach	NOUN
cana-3493	32	3	combining	combine	VERB
cana-3493	32	4	static	static	ADJ
cana-3493	32	5	analysis	analysis	NOUN
cana-3493	32	6	(	(	PUNCT
cana-3493	32	7	code	code	NOUN
cana-3493	32	8	patterns	pattern	NOUN
cana-3493	32	9	)	)	PUNCT
cana-3493	32	10	and	and	CCONJ
cana-3493	32	11	dynamic	dynamic	ADJ
cana-3493	32	12	analysis	analysis	NOUN
cana-3493	32	13	(	(	PUNCT
cana-3493	32	14	runtime	runtime	NOUN
cana-3493	32	15	behavior	behavior	NOUN
cana-3493	32	16	)	)	PUNCT
cana-3493	32	17	have	have	AUX
cana-3493	32	18	been	be	AUX
cana-3493	32	19	effective	effective	ADJ
cana-3493	32	20	in	in	ADP
cana-3493	32	21	reducing	reduce	VERB
cana-3493	32	22	false	false	ADJ
cana-3493	32	23	positives	positive	NOUN
cana-3493	32	24	and	and	CCONJ
cana-3493	32	25	identifying	identify	VERB
cana-3493	32	26	vulnerabilities	vulnerability	NOUN
cana-3493	32	27	missed	miss	VERB
cana-3493	32	28	by	by	ADP
cana-3493	32	29	static	static	ADJ
cana-3493	32	30	tools	tool	NOUN
cana-3493	32	31	[	[	X
cana-3493	32	32	4	4	NUM
cana-3493	32	33	]	]	PUNCT
cana-3493	32	34	.	.	PUNCT
cana-3493	33	1	blockchain	blockchain	PROPN
cana-3493	33	2	has	have	AUX
cana-3493	33	3	been	be	AUX
cana-3493	33	4	explored	explore	VERB
cana-3493	33	5	for	for	ADP
cana-3493	33	6	immutable	immutable	ADJ
cana-3493	33	7	logging	logging	NOUN
cana-3493	33	8	and	and	CCONJ
cana-3493	33	9	tracking	tracking	NOUN
cana-3493	33	10	of	of	ADP
cana-3493	33	11	software	software	NOUN
cana-3493	33	12	vulnerabilities	vulnerability	NOUN
cana-3493	33	13	,	,	PUNCT
cana-3493	33	14	enhancing	enhance	VERB
cana-3493	33	15	trust	trust	NOUN
cana-3493	33	16	and	and	CCONJ
cana-3493	33	17	traceability	traceability	NOUN
cana-3493	33	18	in	in	ADP
cana-3493	33	19	vulnerability	vulnerability	NOUN
cana-3493	33	20	management	management	NOUN
cana-3493	33	21	systems[5	systems[5	PROPN
cana-3493	33	22	]	]	PUNCT
cana-3493	33	23	.	.	PUNCT
cana-3493	34	1	transfer	transfer	NOUN
cana-3493	34	2	learning	learning	NOUN
cana-3493	34	3	models	model	NOUN
cana-3493	34	4	like	like	ADP
cana-3493	34	5	codebert	codebert	NOUN
cana-3493	34	6	pre	pre	VERB
cana-3493	34	7	-	-	VERB
cana-3493	34	8	trained	train	VERB
cana-3493	34	9	on	on	ADP
cana-3493	34	10	large	large	ADJ
cana-3493	34	11	code	code	NOUN
cana-3493	34	12	datasets	dataset	NOUN
cana-3493	34	13	have	have	AUX
cana-3493	34	14	been	be	AUX
cana-3493	34	15	fine	fine	ADV
cana-3493	34	16	-	-	PUNCT
cana-3493	34	17	tuned	tune	VERB
cana-3493	34	18	for	for	ADP
cana-3493	34	19	specific	specific	ADJ
cana-3493	34	20	vulnerability	vulnerability	NOUN
cana-3493	34	21	detection	detection	NOUN
cana-3493	34	22	tasks	task	NOUN
cana-3493	34	23	,	,	PUNCT
cana-3493	34	24	significantly	significantly	ADV
cana-3493	34	25	reducing	reduce	VERB
cana-3493	34	26	training	training	NOUN
cana-3493	34	27	time	time	NOUN
cana-3493	34	28	and	and	CCONJ
cana-3493	34	29	increasing	increase	VERB
cana-3493	34	30	accuracy[6	accuracy[6	PROPN
cana-3493	34	31	]	]	PUNCT
cana-3493	34	32	devign	devign	NOUN
cana-3493	34	33	employs	employ	VERB
cana-3493	34	34	a	a	DET
cana-3493	34	35	graph	graph	NOUN
cana-3493	34	36	neural	neural	ADJ
cana-3493	34	37	network	network	NOUN
cana-3493	34	38	(	(	PUNCT
cana-3493	34	39	gnn	gnn	PROPN
cana-3493	34	40	)	)	PUNCT
cana-3493	34	41	to	to	PART
cana-3493	34	42	learn	learn	VERB
cana-3493	34	43	comprehensive	comprehensive	ADJ
cana-3493	34	44	program	program	NOUN
cana-3493	34	45	semantics	semantic	NOUN
cana-3493	34	46	and	and	CCONJ
cana-3493	34	47	identify	identify	VERB
cana-3493	34	48	vulnerabilities	vulnerability	NOUN
cana-3493	34	49	.	.	PUNCT
cana-3493	35	1	it	it	PRON
cana-3493	35	2	leverages	leverage	VERB
cana-3493	35	3	control	control	NOUN
cana-3493	35	4	-	-	PUNCT
cana-3493	35	5	flow	flow	NOUN
cana-3493	35	6	and	and	CCONJ
cana-3493	35	7	data	data	NOUN
cana-3493	35	8	-	-	PUNCT
cana-3493	35	9	flow	flow	NOUN
cana-3493	35	10	graphs	graph	NOUN
cana-3493	35	11	for	for	ADP
cana-3493	35	12	contextual	contextual	ADJ
cana-3493	35	13	understanding	understanding	NOUN
cana-3493	35	14	.	.	PUNCT
cana-3493	36	1	high	high	ADJ
cana-3493	36	2	precision	precision	NOUN
cana-3493	36	3	due	due	ADP
cana-3493	36	4	to	to	ADP
cana-3493	36	5	graph	graph	NOUN
cana-3493	36	6	-	-	PUNCT
cana-3493	36	7	based	base	VERB
cana-3493	36	8	representation	representation	NOUN
cana-3493	36	9	of	of	ADP
cana-3493	36	10	code	code	NOUN
cana-3493	36	11	effective	effective	ADJ
cana-3493	36	12	for	for	ADP
cana-3493	36	13	unseen	unseen	ADJ
cana-3493	36	14	vulnerabilities	vulnerability	NOUN
cana-3493	36	15	.	.	PUNCT
cana-3493	37	1	slower	slow	ADJ
cana-3493	37	2	due	due	ADP
cana-3493	37	3	to	to	ADP
cana-3493	37	4	graph	graph	VERB
cana-3493	37	5	construction	construction	NOUN
cana-3493	37	6	and	and	CCONJ
cana-3493	37	7	processing	processing	NOUN
cana-3493	37	8	[	[	X
cana-3493	37	9	7	7	NUM
cana-3493	37	10	]	]	PUNCT
cana-3493	37	11	.	.	PUNCT
cana-3493	38	1	yamaguchi	yamaguchi	PROPN
cana-3493	38	2	.et.al	.et.al	PROPN
cana-3493	38	3	.	.	PUNCT
cana-3493	39	1	authors	author	NOUN
cana-3493	39	2	demonstrates	demonstrate	VERB
cana-3493	39	3	a	a	DET
cana-3493	39	4	hybrid	hybrid	ADJ
cana-3493	39	5	approach	approach	NOUN
cana-3493	39	6	that	that	PRON
cana-3493	39	7	combines	combine	VERB
cana-3493	39	8	static	static	ADJ
cana-3493	39	9	analysis	analysis	NOUN
cana-3493	39	10	(	(	PUNCT
cana-3493	39	11	pattern	pattern	NOUN
cana-3493	39	12	-	-	PUNCT
cana-3493	39	13	based	base	VERB
cana-3493	39	14	)	)	PUNCT
cana-3493	39	15	and	and	CCONJ
cana-3493	39	16	dynamic	dynamic	ADJ
cana-3493	39	17	analysis	analysis	NOUN
cana-3493	39	18	(	(	PUNCT
cana-3493	39	19	runtime	runtime	NOUN
cana-3493	39	20	behavior	behavior	NOUN
cana-3493	39	21	monitoring	monitoring	NOUN
cana-3493	39	22	)	)	PUNCT
cana-3493	39	23	to	to	PART
cana-3493	39	24	improve	improve	VERB
cana-3493	39	25	vulnerability	vulnerability	NOUN
cana-3493	39	26	detection	detection	NOUN
cana-3493	39	27	.	.	PUNCT
cana-3493	40	1	reduces	reduce	VERB
cana-3493	40	2	false	false	ADJ
cana-3493	40	3	positives	positive	NOUN
cana-3493	40	4	common	common	ADJ
cana-3493	40	5	in	in	ADP
cana-3493	40	6	static	static	ADJ
cana-3493	40	7	analysis	analysis	NOUN
cana-3493	40	8	tools	tool	NOUN
cana-3493	40	9	detects	detect	NOUN
cana-3493	40	10	runtime	runtime	NOUN
cana-3493	40	11	-	-	PUNCT
cana-3493	40	12	specific	specific	ADJ
cana-3493	40	13	vulnerabilities	vulnerability	NOUN
cana-3493	40	14	.	.	PUNCT
cana-3493	41	1	high	high	ADJ
cana-3493	41	2	resource	resource	NOUN
cana-3493	41	3	consumption	consumption	NOUN
cana-3493	41	4	due	due	ADP
cana-3493	41	5	to	to	ADP
cana-3493	41	6	runtime	runtime	NOUN
cana-3493	41	7	analysis	analysis	NOUN
cana-3493	41	8	[	[	X
cana-3493	41	9	8	8	NUM
cana-3493	41	10	]	]	PUNCT
cana-3493	41	11	.	.	PUNCT
cana-3493	42	1	feng	feng	PROPN
cana-3493	42	2	et.al	et.al	PROPN
cana-3493	42	3	.	.	PROPN
cana-3493	42	4	,	,	PUNCT
cana-3493	42	5	explores	explore	NOUN
cana-3493	42	6	transfer	transfer	VERB
cana-3493	42	7	learning	learning	NOUN
cana-3493	42	8	using	use	VERB
cana-3493	42	9	pre	pre	ADJ
cana-3493	42	10	-	-	ADJ
cana-3493	42	11	trained	train	VERB
cana-3493	42	12	models	model	NOUN
cana-3493	42	13	like	like	ADP
cana-3493	42	14	codebert	codebert	NOUN
cana-3493	42	15	for	for	ADP
cana-3493	42	16	detecting	detect	VERB
cana-3493	42	17	vulnerabilities	vulnerability	NOUN
cana-3493	42	18	in	in	ADP
cana-3493	42	19	solidity	solidity	NOUN
cana-3493	42	20	smart	smart	ADJ
cana-3493	42	21	contracts	contract	NOUN
cana-3493	42	22	.	.	PUNCT
cana-3493	43	1	it	it	PRON
cana-3493	43	2	achieves	achieve	VERB
cana-3493	43	3	high	high	ADJ
cana-3493	43	4	accuracy	accuracy	NOUN
cana-3493	43	5	with	with	ADP
cana-3493	43	6	limited	limited	ADJ
cana-3493	43	7	labeled	label	VERB
cana-3493	43	8	data	datum	NOUN
cana-3493	43	9	.	.	PUNCT
cana-3493	44	1	reduces	reduce	VERB
cana-3493	44	2	the	the	DET
cana-3493	44	3	need	need	NOUN
cana-3493	44	4	for	for	ADP
cana-3493	44	5	extensive	extensive	ADJ
cana-3493	44	6	labeled	label	VERB
cana-3493	44	7	data	datum	NOUN
cana-3493	44	8	scalable	scalable	ADJ
cana-3493	44	9	to	to	ADP
cana-3493	44	10	new	new	ADJ
cana-3493	44	11	types	type	NOUN
cana-3493	44	12	of	of	ADP
cana-3493	44	13	contracts	contract	NOUN
cana-3493	44	14	.	.	PUNCT
cana-3493	45	1	over	over	AUX
cana-3493	45	2	-	-	PUNCT
cana-3493	45	3	reliance	reliance	NOUN
cana-3493	45	4	on	on	ADP
cana-3493	45	5	pretrained	pretraine	VERB
cana-3493	45	6	features	feature	NOUN
cana-3493	45	7	may	may	AUX
cana-3493	45	8	limit	limit	VERB
cana-3493	45	9	interpretability	interpretability	NOUN
cana-3493	45	10	[	[	X
cana-3493	45	11	9	9	NUM
cana-3493	45	12	]	]	PUNCT
cana-3493	45	13	.	.	PUNCT
cana-3493	46	1	table	table	NOUN
cana-3493	46	2	:	:	PUNCT
cana-3493	46	3	1	1	NUM
cana-3493	46	4	comparative	comparative	ADJ
cana-3493	46	5	analysis	analysis	NOUN
cana-3493	46	6	method	method	NOUN
cana-3493	46	7	technique	technique	NOUN
cana-3493	46	8	strengths	strength	NOUN
cana-3493	46	9	weaknesses	weakness	NOUN
cana-3493	46	10	vuldeepecker	vuldeepecker	VERB
cana-3493	46	11	bi	bi	ADJ
cana-3493	46	12	-	-	ADJ
cana-3493	46	13	lstm	lstm	ADJ
cana-3493	46	14	high	high	ADJ
cana-3493	46	15	detection	detection	NOUN
cana-3493	46	16	accuracy	accuracy	NOUN
cana-3493	46	17	computationally	computationally	ADV
cana-3493	46	18	intensive	intensive	ADJ
cana-3493	46	19	code2vec	code2vec	X
cana-3493	46	20	code	code	NOUN
cana-3493	46	21	embedding	embed	VERB
cana-3493	46	22	+	+	CCONJ
cana-3493	46	23	ast	ast	ADJ
cana-3493	46	24	efficient	efficient	ADJ
cana-3493	46	25	embeddings	embedding	NOUN
cana-3493	46	26	limited	limit	VERB
cana-3493	46	27	to	to	ADP
cana-3493	46	28	ast	ast	NOUN
cana-3493	46	29	features	feature	NOUN
cana-3493	46	30	devign	devign	VERB
cana-3493	46	31	graph	graph	NOUN
cana-3493	46	32	neural	neural	ADJ
cana-3493	46	33	network	network	NOUN
cana-3493	46	34	captures	capture	VERB
cana-3493	46	35	program	program	NOUN
cana-3493	46	36	semantics	semantic	NOUN
cana-3493	46	37	effectively	effectively	ADV
cana-3493	46	38	slower	slow	ADJ
cana-3493	46	39	graph	graph	NOUN
cana-3493	46	40	processing	processing	NOUN
cana-3493	46	41	hades	hade	NOUN
cana-3493	46	42	dl	dl	PROPN
cana-3493	46	43	for	for	ADP
cana-3493	46	44	smart	smart	ADJ
cana-3493	46	45	contracts	contract	NOUN
cana-3493	46	46	specialized	specialize	VERB
cana-3493	46	47	for	for	ADP
cana-3493	46	48	blockchain	blockchain	PROPN
cana-3493	46	49	vulnerabilities	vulnerability	NOUN
cana-3493	46	50	not	not	PART
cana-3493	46	51	generalizable	generalizable	ADJ
cana-3493	46	52	to	to	ADP
cana-3493	46	53	other	other	ADJ
cana-3493	46	54	languages	language	NOUN
cana-3493	46	55	static	static	ADJ
cana-3493	46	56	+	+	CCONJ
cana-3493	46	57	dynamic	dynamic	ADJ
cana-3493	46	58	analysis	analysis	NOUN
cana-3493	46	59	hybrid	hybrid	NOUN
cana-3493	46	60	analysis	analysis	NOUN
cana-3493	46	61	reduces	reduce	VERB
cana-3493	46	62	false	false	ADJ
cana-3493	46	63	positives	positive	NOUN
cana-3493	46	64	high	high	ADJ
cana-3493	46	65	resource	resource	NOUN
cana-3493	46	66	consumption	consumption	NOUN
cana-3493	46	67	transfer	transfer	NOUN
cana-3493	46	68	learning	learning	NOUN
cana-3493	46	69	with	with	ADP
cana-3493	46	70	codebert	codebert	NOUN
cana-3493	46	71	pre	pre	ADJ
cana-3493	46	72	-	-	ADJ
cana-3493	46	73	trained	train	VERB
cana-3493	46	74	models	model	NOUN
cana-3493	46	75	effective	effective	ADJ
cana-3493	46	76	for	for	ADP
cana-3493	46	77	limited	limited	ADJ
cana-3493	46	78	labeled	label	VERB
cana-3493	46	79	data	datum	NOUN
cana-3493	46	80	over	over	ADP
cana-3493	46	81	-	-	PUNCT
cana-3493	46	82	reliance	reliance	NOUN
cana-3493	46	83	on	on	ADP
cana-3493	46	84	pretrained	pretraine	VERB
cana-3493	46	85	models	model	NOUN
cana-3493	46	86	2.1	2.1	NUM
cana-3493	46	87	summary	summary	NOUN
cana-3493	46	88	of	of	ADP
cana-3493	46	89	literature	literature	NOUN
cana-3493	46	90	survey	survey	VERB
cana-3493	46	91	the	the	DET
cana-3493	46	92	related	related	ADJ
cana-3493	46	93	work	work	NOUN
cana-3493	46	94	highlights	highlight	NOUN
cana-3493	46	95	the	the	DET
cana-3493	46	96	evolution	evolution	NOUN
cana-3493	46	97	from	from	ADP
cana-3493	46	98	static	static	ADJ
cana-3493	46	99	tools	tool	NOUN
cana-3493	46	100	to	to	ADP
cana-3493	46	101	machine	machine	NOUN
cana-3493	46	102	learning	learning	NOUN
cana-3493	46	103	and	and	CCONJ
cana-3493	46	104	deep	deep	ADJ
cana-3493	46	105	learning	learning	NOUN
cana-3493	46	106	for	for	ADP
cana-3493	46	107	vulnerability	vulnerability	NOUN
cana-3493	46	108	detection	detection	NOUN
cana-3493	46	109	.	.	PUNCT
cana-3493	47	1	techniques	technique	NOUN
cana-3493	47	2	like	like	ADP
cana-3493	47	3	embedding	embed	VERB
cana-3493	47	4	models	model	NOUN
cana-3493	47	5	,	,	PUNCT
cana-3493	47	6	hybrid	hybrid	ADJ
cana-3493	47	7	analysis	analysis	NOUN
cana-3493	47	8	,	,	PUNCT
cana-3493	47	9	and	and	CCONJ
cana-3493	47	10	transfer	transfer	NOUN
cana-3493	47	11	learning	learning	NOUN
cana-3493	47	12	demonstrate	demonstrate	VERB
cana-3493	47	13	significant	significant	ADJ
cana-3493	47	14	progress	progress	NOUN
cana-3493	47	15	but	but	CCONJ
cana-3493	47	16	also	also	ADV
cana-3493	47	17	indicate	indicate	VERB
cana-3493	47	18	opportunities	opportunity	NOUN
cana-3493	47	19	for	for	ADP
cana-3493	47	20	improvement	improvement	NOUN
cana-3493	47	21	in	in	ADP
cana-3493	47	22	scalability	scalability	NOUN
cana-3493	47	23	and	and	CCONJ
cana-3493	47	24	interpretability	interpretability	NOUN
cana-3493	47	25	.	.	PUNCT
cana-3493	48	1	comparative	comparative	ADJ
cana-3493	48	2	analysis	analysis	NOUN
cana-3493	48	3	highlights	highlight	VERB
cana-3493	48	4	the	the	DET
cana-3493	48	5	strengths	strength	NOUN
cana-3493	48	6	and	and	CCONJ
cana-3493	48	7	limitations	limitation	NOUN
cana-3493	48	8	of	of	ADP
cana-3493	48	9	various	various	ADJ
cana-3493	48	10	approaches	approach	NOUN
cana-3493	48	11	.	.	PUNCT
cana-3493	49	1	techniques	technique	NOUN
cana-3493	49	2	like	like	ADP
cana-3493	49	3	devign	devign	NOUN
cana-3493	49	4	and	and	CCONJ
cana-3493	49	5	vuldeepecker	vuldeepecker	NOUN
cana-3493	49	6	show	show	VERB
cana-3493	49	7	high	high	ADJ
cana-3493	49	8	accuracy	accuracy	NOUN
cana-3493	49	9	,	,	PUNCT
cana-3493	49	10	while	while	SCONJ
cana-3493	49	11	hybrid	hybrid	ADJ
cana-3493	49	12	and	and	CCONJ
cana-3493	49	13	transfer	transfer	NOUN
cana-3493	49	14	learning	learning	NOUN
cana-3493	49	15	models	model	NOUN
cana-3493	49	16	enhance	enhance	VERB
cana-3493	49	17	flexibility	flexibility	NOUN
cana-3493	49	18	.	.	PUNCT
cana-3493	50	1	the	the	DET
cana-3493	50	2	choice	choice	NOUN
cana-3493	50	3	of	of	ADP
cana-3493	50	4	method	method	NOUN
cana-3493	50	5	depends	depend	VERB
cana-3493	50	6	on	on	ADP
cana-3493	50	7	the	the	DET
cana-3493	50	8	specific	specific	ADJ
cana-3493	50	9	application	application	NOUN
cana-3493	50	10	.	.	PUNCT
cana-3493	51	1	communications	communication	NOUN
cana-3493	51	2	on	on	ADP
cana-3493	51	3	applied	apply	VERB
cana-3493	51	4	nonlinear	nonlinear	ADJ
cana-3493	51	5	analysis	analysis	NOUN
cana-3493	51	6	issn	issn	NOUN
cana-3493	51	7	:	:	PUNCT
cana-3493	51	8	1074	1074	NUM
cana-3493	51	9	-	-	PUNCT
cana-3493	51	10	133x	133x	NUM
cana-3493	51	11	vol	vol	NOUN
cana-3493	51	12	32	32	NUM
cana-3493	51	13	no	no	NOUN
cana-3493	51	14	.	.	PUNCT
cana-3493	52	1	7s	7	NOUN
cana-3493	52	2	(	(	PUNCT
cana-3493	52	3	2025	2025	NUM
cana-3493	52	4	)	)	PUNCT
cana-3493	52	5	892	892	NUM
cana-3493	52	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	53	1	the	the	DET
cana-3493	53	2	issue	issue	NOUN
cana-3493	53	3	of	of	ADP
cana-3493	53	4	software	software	NOUN
cana-3493	53	5	security	security	NOUN
cana-3493	53	6	has	have	AUX
cana-3493	53	7	become	become	VERB
cana-3493	53	8	increasingly	increasingly	ADV
cana-3493	53	9	critical	critical	ADJ
cana-3493	53	10	in	in	ADP
cana-3493	53	11	modern	modern	ADJ
cana-3493	53	12	development	development	NOUN
cana-3493	53	13	,	,	PUNCT
cana-3493	53	14	as	as	SCONJ
cana-3493	53	15	undetected	undetected	ADJ
cana-3493	53	16	vulnerabilities	vulnerability	NOUN
cana-3493	53	17	in	in	ADP
cana-3493	53	18	source	source	NOUN
cana-3493	53	19	code	code	NOUN
cana-3493	53	20	pose	pose	VERB
cana-3493	53	21	significant	significant	ADJ
cana-3493	53	22	risks	risk	NOUN
cana-3493	53	23	to	to	ADP
cana-3493	53	24	data	datum	NOUN
cana-3493	53	25	integrity	integrity	NOUN
cana-3493	53	26	and	and	CCONJ
cana-3493	53	27	system	system	NOUN
cana-3493	53	28	performance	performance	NOUN
cana-3493	53	29	.	.	PUNCT
cana-3493	54	1	current	current	ADJ
cana-3493	54	2	methods	method	NOUN
cana-3493	54	3	,	,	PUNCT
cana-3493	54	4	such	such	ADJ
cana-3493	54	5	as	as	ADP
cana-3493	54	6	static	static	ADJ
cana-3493	54	7	and	and	CCONJ
cana-3493	54	8	dynamic	dynamic	ADJ
cana-3493	54	9	analysis	analysis	NOUN
cana-3493	54	10	,	,	PUNCT
cana-3493	54	11	face	face	VERB
cana-3493	54	12	limitations	limitation	NOUN
cana-3493	54	13	in	in	ADP
cana-3493	54	14	addressing	address	VERB
cana-3493	54	15	these	these	DET
cana-3493	54	16	challenges	challenge	NOUN
cana-3493	54	17	effectively	effectively	ADV
cana-3493	54	18	.	.	PUNCT
cana-3493	55	1	high	high	ADJ
cana-3493	55	2	false	false	ADJ
cana-3493	55	3	positive	positive	ADJ
cana-3493	55	4	rates	rate	NOUN
cana-3493	55	5	,	,	PUNCT
cana-3493	55	6	limited	limited	ADJ
cana-3493	55	7	scalability	scalability	NOUN
cana-3493	55	8	,	,	PUNCT
cana-3493	55	9	and	and	CCONJ
cana-3493	55	10	a	a	DET
cana-3493	55	11	lack	lack	NOUN
cana-3493	55	12	of	of	ADP
cana-3493	55	13	semantic	semantic	ADJ
cana-3493	55	14	understanding	understanding	NOUN
cana-3493	55	15	hinder	hinder	VERB
cana-3493	55	16	their	their	PRON
cana-3493	55	17	utility	utility	NOUN
cana-3493	55	18	,	,	PUNCT
cana-3493	55	19	especially	especially	ADV
cana-3493	55	20	for	for	ADP
cana-3493	55	21	detecting	detect	VERB
cana-3493	55	22	complex	complex	ADJ
cana-3493	55	23	vulnerabilities	vulnerability	NOUN
cana-3493	55	24	that	that	PRON
cana-3493	55	25	span	span	VERB
cana-3493	55	26	multiple	multiple	ADJ
cana-3493	55	27	code	code	NOUN
cana-3493	55	28	blocks	block	NOUN
cana-3493	55	29	or	or	CCONJ
cana-3493	55	30	involve	involve	VERB
cana-3493	55	31	intricate	intricate	ADJ
cana-3493	55	32	structural	structural	ADJ
cana-3493	55	33	dependencies	dependency	NOUN
cana-3493	55	34	.	.	PUNCT
cana-3493	56	1	to	to	PART
cana-3493	56	2	address	address	VERB
cana-3493	56	3	these	these	DET
cana-3493	56	4	shortcomings	shortcoming	NOUN
cana-3493	56	5	,	,	PUNCT
cana-3493	56	6	the	the	DET
cana-3493	56	7	proposed	propose	VERB
cana-3493	56	8	solution	solution	NOUN
cana-3493	56	9	introduces	introduce	VERB
cana-3493	56	10	a	a	DET
cana-3493	56	11	hybrid	hybrid	ADJ
cana-3493	56	12	deep	deep	ADJ
cana-3493	56	13	learning	learning	NOUN
cana-3493	56	14	architecture	architecture	NOUN
cana-3493	56	15	combining	combine	VERB
cana-3493	56	16	convolutional	convolutional	ADJ
cana-3493	56	17	neural	neural	ADJ
cana-3493	56	18	networks	network	NOUN
cana-3493	56	19	(	(	PUNCT
cana-3493	56	20	cnn	cnn	PROPN
cana-3493	56	21	)	)	PUNCT
cana-3493	56	22	and	and	CCONJ
cana-3493	56	23	long	long	ADJ
cana-3493	56	24	short	short	ADJ
cana-3493	56	25	-	-	PUNCT
cana-3493	56	26	term	term	NOUN
cana-3493	56	27	memory	memory	NOUN
cana-3493	56	28	networks	network	NOUN
cana-3493	56	29	(	(	PUNCT
cana-3493	56	30	lstm	lstm	NOUN
cana-3493	56	31	)	)	PUNCT
cana-3493	56	32	,	,	PUNCT
cana-3493	56	33	3	3	X
cana-3493	56	34	.	.	NUM
cana-3493	56	35	proposed	propose	VERB
cana-3493	56	36	methodology	methodology	NOUN
cana-3493	56	37	during	during	ADP
cana-3493	56	38	the	the	DET
cana-3493	56	39	software	software	NOUN
cana-3493	56	40	development	development	NOUN
cana-3493	56	41	process	process	NOUN
cana-3493	56	42	,	,	PUNCT
cana-3493	56	43	developers	developer	NOUN
cana-3493	56	44	may	may	AUX
cana-3493	56	45	unintentionally	unintentionally	ADV
cana-3493	56	46	or	or	CCONJ
cana-3493	56	47	deliberately	deliberately	ADV
cana-3493	56	48	introduce	introduce	VERB
cana-3493	56	49	errors	error	NOUN
cana-3493	56	50	that	that	PRON
cana-3493	56	51	could	could	AUX
cana-3493	56	52	lead	lead	VERB
cana-3493	56	53	to	to	ADP
cana-3493	56	54	vulnerabilities	vulnerability	NOUN
cana-3493	56	55	in	in	ADP
cana-3493	56	56	the	the	DET
cana-3493	56	57	application	application	NOUN
cana-3493	56	58	.	.	PUNCT
cana-3493	57	1	traditional	traditional	ADJ
cana-3493	57	2	methods	method	NOUN
cana-3493	57	3	of	of	ADP
cana-3493	57	4	vulnerability	vulnerability	NOUN
cana-3493	57	5	detection	detection	NOUN
cana-3493	57	6	during	during	ADP
cana-3493	57	7	software	software	NOUN
cana-3493	57	8	testing	testing	NOUN
cana-3493	57	9	rely	rely	VERB
cana-3493	57	10	heavily	heavily	ADV
cana-3493	57	11	on	on	ADP
cana-3493	57	12	human	human	ADJ
cana-3493	57	13	involvement	involvement	NOUN
cana-3493	57	14	,	,	PUNCT
cana-3493	57	15	which	which	PRON
cana-3493	57	16	can	can	AUX
cana-3493	57	17	be	be	AUX
cana-3493	57	18	both	both	PRON
cana-3493	57	19	timeintensive	timeintensive	ADJ
cana-3493	57	20	and	and	CCONJ
cana-3493	57	21	prone	prone	ADJ
cana-3493	57	22	to	to	ADP
cana-3493	57	23	mistakes	mistake	NOUN
cana-3493	57	24	.	.	PUNCT
cana-3493	58	1	to	to	PART
cana-3493	58	2	address	address	VERB
cana-3493	58	3	these	these	DET
cana-3493	58	4	challenges	challenge	NOUN
cana-3493	58	5	,	,	PUNCT
cana-3493	58	6	advanced	advanced	ADJ
cana-3493	58	7	machine	machine	NOUN
cana-3493	58	8	learning	learning	NOUN
cana-3493	58	9	(	(	PUNCT
cana-3493	58	10	ml	ml	NOUN
cana-3493	58	11	)	)	PUNCT
cana-3493	58	12	techniques	technique	NOUN
cana-3493	58	13	can	can	AUX
cana-3493	58	14	play	play	VERB
cana-3493	58	15	a	a	DET
cana-3493	58	16	crucial	crucial	ADJ
cana-3493	58	17	role	role	NOUN
cana-3493	58	18	in	in	ADP
cana-3493	58	19	minimizing	minimize	VERB
cana-3493	58	20	the	the	DET
cana-3493	58	21	reliance	reliance	NOUN
cana-3493	58	22	on	on	ADP
cana-3493	58	23	human	human	ADJ
cana-3493	58	24	intervention	intervention	NOUN
cana-3493	58	25	in	in	ADP
cana-3493	58	26	the	the	DET
cana-3493	58	27	vulnerability	vulnerability	NOUN
cana-3493	58	28	testing	testing	NOUN
cana-3493	58	29	process	process	NOUN
cana-3493	58	30	.	.	PUNCT
cana-3493	59	1	in	in	ADP
cana-3493	59	2	the	the	DET
cana-3493	59	3	proposed	propose	VERB
cana-3493	59	4	system	system	NOUN
cana-3493	59	5	,	,	PUNCT
cana-3493	59	6	the	the	DET
cana-3493	59	7	lstm	lstm	NOUN
cana-3493	59	8	model	model	NOUN
cana-3493	59	9	is	be	AUX
cana-3493	59	10	trained	train	VERB
cana-3493	59	11	using	use	VERB
cana-3493	59	12	a	a	DET
cana-3493	59	13	dataset	dataset	NOUN
cana-3493	59	14	comprising	comprising	NOUN
cana-3493	59	15	30,636	30,636	NUM
cana-3493	59	16	c	c	NOUN
cana-3493	59	17	/	/	SYM
cana-3493	59	18	c++	c++	NOUN
cana-3493	59	19	source	source	NOUN
cana-3493	59	20	code	code	NOUN
cana-3493	59	21	files	file	NOUN
cana-3493	59	22	,	,	PUNCT
cana-3493	59	23	drawn	draw	VERB
cana-3493	59	24	from	from	ADP
cana-3493	59	25	multiple	multiple	ADJ
cana-3493	59	26	datasets	dataset	NOUN
cana-3493	59	27	,	,	PUNCT
cana-3493	59	28	to	to	PART
cana-3493	59	29	enhance	enhance	VERB
cana-3493	59	30	its	its	PRON
cana-3493	59	31	ability	ability	NOUN
cana-3493	59	32	to	to	PART
cana-3493	59	33	detect	detect	VERB
cana-3493	59	34	vulnerabilities	vulnerability	NOUN
cana-3493	59	35	as	as	SCONJ
cana-3493	59	36	illustrated	illustrate	VERB
cana-3493	59	37	in	in	ADP
cana-3493	59	38	figure	figure	NOUN
cana-3493	59	39	3	3	NUM
cana-3493	59	40	.	.	PROPN
cana-3493	59	41	fig	fig	NOUN
cana-3493	59	42	3	3	NUM
cana-3493	59	43	:	:	PUNCT
cana-3493	59	44	system	system	NOUN
cana-3493	59	45	architecture	architecture	NOUN
cana-3493	59	46	source	source	NOUN
cana-3493	59	47	code	code	NOUN
cana-3493	59	48	is	be	AUX
cana-3493	59	49	classified	classify	VERB
cana-3493	59	50	as	as	ADP
cana-3493	59	51	either	either	CCONJ
cana-3493	59	52	vulnerable	vulnerable	ADJ
cana-3493	59	53	or	or	CCONJ
cana-3493	59	54	non	non	ADJ
cana-3493	59	55	-	-	ADJ
cana-3493	59	56	vulnerable	vulnerable	ADJ
cana-3493	59	57	based	base	VERB
cana-3493	59	58	on	on	ADP
cana-3493	59	59	predefined	predefine	VERB
cana-3493	59	60	vulnerability	vulnerability	NOUN
cana-3493	59	61	thresholds	threshold	NOUN
cana-3493	59	62	.	.	PUNCT
cana-3493	60	1	according	accord	VERB
cana-3493	60	2	to	to	ADP
cana-3493	60	3	the	the	DET
cana-3493	60	4	national	national	PROPN
cana-3493	60	5	institute	institute	PROPN
cana-3493	60	6	of	of	ADP
cana-3493	60	7	standards	standard	NOUN
cana-3493	60	8	and	and	CCONJ
cana-3493	60	9	technology	technology	NOUN
cana-3493	60	10	(	(	PUNCT
cana-3493	60	11	nist	nist	NOUN
cana-3493	60	12	)	)	PUNCT
cana-3493	60	13	,	,	PUNCT
cana-3493	60	14	severity	severity	NOUN
cana-3493	60	15	levels	level	NOUN
cana-3493	60	16	are	be	AUX
cana-3493	60	17	categorized	categorize	VERB
cana-3493	60	18	as	as	ADP
cana-3493	60	19	low	low	ADJ
cana-3493	60	20	,	,	PUNCT
cana-3493	60	21	medium	medium	ADJ
cana-3493	60	22	,	,	PUNCT
cana-3493	60	23	high	high	ADJ
cana-3493	60	24	,	,	PUNCT
cana-3493	60	25	critical	critical	ADJ
cana-3493	60	26	.	.	PUNCT
cana-3493	61	1	in	in	ADP
cana-3493	61	2	this	this	DET
cana-3493	61	3	work	work	NOUN
cana-3493	61	4	,	,	PUNCT
cana-3493	61	5	we	we	PRON
cana-3493	61	6	introduce	introduce	VERB
cana-3493	61	7	a	a	DET
cana-3493	61	8	reverse	reverse	NOUN
cana-3493	61	9	-	-	PUNCT
cana-3493	61	10	mapped	map	VERB
cana-3493	61	11	nonvulnerability	nonvulnerability	NOUN
cana-3493	61	12	score	score	NOUN
cana-3493	61	13	range	range	NOUN
cana-3493	61	14	as	as	ADP
cana-3493	61	15	an	an	DET
cana-3493	61	16	alternative	alternative	NOUN
cana-3493	61	17	to	to	ADP
cana-3493	61	18	the	the	DET
cana-3493	61	19	nist	nist	NOUN
cana-3493	61	20	standard	standard	NOUN
cana-3493	61	21	,	,	PUNCT
cana-3493	61	22	as	as	SCONJ
cana-3493	61	23	illustrated	illustrate	VERB
cana-3493	61	24	in	in	ADP
cana-3493	61	25	table	table	NOUN
cana-3493	61	26	2	2	NUM
cana-3493	61	27	.	.	PUNCT
cana-3493	62	1	this	this	DET
cana-3493	62	2	approach	approach	NOUN
cana-3493	62	3	is	be	AUX
cana-3493	62	4	adopted	adopt	VERB
cana-3493	62	5	for	for	ADP
cana-3493	62	6	two	two	NUM
cana-3493	62	7	primary	primary	ADJ
cana-3493	62	8	reasons	reason	NOUN
cana-3493	62	9	:	:	PUNCT
cana-3493	62	10	(	(	PUNCT
cana-3493	62	11	1	1	X
cana-3493	62	12	)	)	PUNCT
cana-3493	62	13	the	the	DET
cana-3493	62	14	ml	ml	PROPN
cana-3493	62	15	model	model	NOUN
cana-3493	62	16	is	be	AUX
cana-3493	62	17	designed	design	VERB
cana-3493	62	18	to	to	PART
cana-3493	62	19	learn	learn	VERB
cana-3493	62	20	a	a	DET
cana-3493	62	21	nonvulnerability	nonvulnerability	NOUN
cana-3493	62	22	score	score	NOUN
cana-3493	62	23	,	,	PUNCT
cana-3493	62	24	indicating	indicate	VERB
cana-3493	62	25	how	how	SCONJ
cana-3493	62	26	effectively	effectively	ADV
cana-3493	62	27	the	the	DET
cana-3493	62	28	source	source	NOUN
cana-3493	62	29	code	code	NOUN
cana-3493	62	30	is	be	AUX
cana-3493	62	31	written	write	VERB
cana-3493	62	32	;	;	PUNCT
cana-3493	62	33	(	(	PUNCT
cana-3493	62	34	2	2	X
cana-3493	62	35	)	)	PUNCT
cana-3493	62	36	in	in	ADP
cana-3493	62	37	the	the	DET
cana-3493	62	38	software	software	NOUN
cana-3493	62	39	development	development	NOUN
cana-3493	62	40	life	life	NOUN
cana-3493	62	41	cycle	cycle	NOUN
cana-3493	62	42	(	(	PUNCT
cana-3493	62	43	sdlc	sdlc	PROPN
cana-3493	62	44	)	)	PUNCT
cana-3493	62	45	,	,	PUNCT
cana-3493	62	46	the	the	DET
cana-3493	62	47	focus	focus	NOUN
cana-3493	62	48	is	be	AUX
cana-3493	62	49	on	on	ADP
cana-3493	62	50	delivering	deliver	VERB
cana-3493	62	51	error	error	NOUN
cana-3493	62	52	-	-	PUNCT
cana-3493	62	53	free	free	ADJ
cana-3493	62	54	code	code	NOUN
cana-3493	62	55	at	at	ADP
cana-3493	62	56	the	the	DET
cana-3493	62	57	production	production	NOUN
cana-3493	62	58	stage	stage	NOUN
cana-3493	62	59	.	.	PUNCT
cana-3493	63	1	utilizing	utilize	VERB
cana-3493	63	2	a	a	DET
cana-3493	63	3	non	non	ADJ
cana-3493	63	4	-	-	ADJ
cana-3493	63	5	vulnerability	vulnerability	ADJ
cana-3493	63	6	score	score	NOUN
cana-3493	63	7	for	for	ADP
cana-3493	63	8	category	category	NOUN
cana-3493	63	9	mapping	mapping	NOUN
cana-3493	63	10	provides	provide	VERB
cana-3493	63	11	a	a	DET
cana-3493	63	12	more	more	ADV
cana-3493	63	13	intuitive	intuitive	ADJ
cana-3493	63	14	framework	framework	NOUN
cana-3493	63	15	for	for	ADP
cana-3493	63	16	lead	lead	ADJ
cana-3493	63	17	developers	developer	NOUN
cana-3493	63	18	,	,	PUNCT
cana-3493	63	19	aiding	aid	VERB
cana-3493	63	20	them	they	PRON
cana-3493	63	21	in	in	ADP
cana-3493	63	22	making	make	VERB
cana-3493	63	23	informed	informed	ADJ
cana-3493	63	24	decisions	decision	NOUN
cana-3493	63	25	.	.	PUNCT
cana-3493	64	1	table	table	NOUN
cana-3493	64	2	2	2	NUM
cana-3493	64	3	:	:	PUNCT
cana-3493	64	4	non	non	ADJ
cana-3493	64	5	-	-	ADJ
cana-3493	64	6	vulnerability	vulnerability	ADJ
cana-3493	64	7	score	score	NOUN
cana-3493	64	8	classification	classification	NOUN
cana-3493	64	9	of	of	ADP
cana-3493	64	10	source	source	NOUN
cana-3493	64	11	code	code	NOUN
cana-3493	64	12	categories	category	NOUN
cana-3493	64	13	level	level	NOUN
cana-3493	64	14	of	of	ADP
cana-3493	64	15	severity	severity	NOUN
cana-3493	64	16	nist	nist	NOUN
cana-3493	64	17	cvss	cvss	ADJ
cana-3493	64	18	scoring	scoring	NOUN
cana-3493	64	19	range	range	NOUN
cana-3493	64	20	proposed	propose	VERB
cana-3493	64	21	scoring	scoring	NOUN
cana-3493	64	22	range	range	NOUN
cana-3493	64	23	description	description	NOUN
cana-3493	64	24	low	low	ADJ
cana-3493	64	25	0.0	0.0	NUM
cana-3493	64	26	3.9	3.9	NUM
cana-3493	64	27	0	0	NUM
cana-3493	64	28	25	25	NUM
cana-3493	64	29	minimal	minimal	ADJ
cana-3493	64	30	impact	impact	NOUN
cana-3493	64	31	on	on	ADP
cana-3493	64	32	functionality	functionality	NOUN
cana-3493	64	33	and	and	CCONJ
cana-3493	64	34	security	security	NOUN
cana-3493	64	35	.	.	PUNCT
cana-3493	65	1	medium	medium	NOUN
cana-3493	65	2	4.0	4.0	NUM
cana-3493	65	3	6.9	6.9	NUM
cana-3493	65	4	26	26	NUM
cana-3493	65	5	50	50	NUM
cana-3493	65	6	moderate	moderate	ADJ
cana-3493	65	7	impact	impact	NOUN
cana-3493	65	8	requiring	require	VERB
cana-3493	65	9	mitigation	mitigation	NOUN
cana-3493	65	10	.	.	PUNCT
cana-3493	66	1	communications	communication	NOUN
cana-3493	66	2	on	on	ADP
cana-3493	66	3	applied	apply	VERB
cana-3493	66	4	nonlinear	nonlinear	ADJ
cana-3493	66	5	analysis	analysis	NOUN
cana-3493	66	6	issn	issn	NOUN
cana-3493	66	7	:	:	PUNCT
cana-3493	66	8	1074	1074	NUM
cana-3493	66	9	-	-	PUNCT
cana-3493	66	10	133x	133x	NUM
cana-3493	66	11	vol	vol	NOUN
cana-3493	66	12	32	32	NUM
cana-3493	66	13	no	no	NOUN
cana-3493	66	14	.	.	PUNCT
cana-3493	67	1	7s	7	NOUN
cana-3493	67	2	(	(	PUNCT
cana-3493	67	3	2025	2025	NUM
cana-3493	67	4	)	)	PUNCT
cana-3493	67	5	893	893	NUM
cana-3493	67	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	67	7	high	high	ADJ
cana-3493	67	8	7.0	7.0	NUM
cana-3493	67	9	8.9	8.9	NUM
cana-3493	67	10	51	51	NUM
cana-3493	67	11	75	75	NUM
cana-3493	67	12	high	high	ADJ
cana-3493	67	13	potential	potential	NOUN
cana-3493	67	14	for	for	ADP
cana-3493	67	15	exploitation	exploitation	NOUN
cana-3493	67	16	,	,	PUNCT
cana-3493	67	17	needs	need	VERB
cana-3493	67	18	urgent	urgent	ADJ
cana-3493	67	19	attention	attention	NOUN
cana-3493	67	20	.	.	PUNCT
cana-3493	68	1	critical	critical	ADJ
cana-3493	68	2	9.0	9.0	NUM
cana-3493	68	3	10.0	10.0	NUM
cana-3493	68	4	76	76	NUM
cana-3493	68	5	100	100	NUM
cana-3493	68	6	critical	critical	ADJ
cana-3493	68	7	impact	impact	NOUN
cana-3493	68	8	,	,	PUNCT
cana-3493	68	9	could	could	AUX
cana-3493	68	10	cause	cause	VERB
cana-3493	68	11	system	system	NOUN
cana-3493	68	12	or	or	CCONJ
cana-3493	68	13	data	datum	NOUN
cana-3493	68	14	compromise	compromise	NOUN
cana-3493	68	15	.	.	PUNCT
cana-3493	69	1	the	the	DET
cana-3493	69	2	proposed	propose	VERB
cana-3493	69	3	framework	framework	NOUN
cana-3493	69	4	employs	employ	VERB
cana-3493	69	5	a	a	DET
cana-3493	69	6	hybrid	hybrid	ADJ
cana-3493	69	7	deep	deep	ADJ
cana-3493	69	8	learning	learning	NOUN
cana-3493	69	9	architecture	architecture	NOUN
cana-3493	69	10	to	to	PART
cana-3493	69	11	detect	detect	VERB
cana-3493	69	12	and	and	CCONJ
cana-3493	69	13	classify	classify	VERB
cana-3493	69	14	source	source	NOUN
cana-3493	69	15	code	code	NOUN
cana-3493	69	16	vulnerabilities	vulnerability	NOUN
cana-3493	69	17	effectively	effectively	ADV
cana-3493	69	18	.	.	PUNCT
cana-3493	70	1	the	the	DET
cana-3493	70	2	system	system	NOUN
cana-3493	70	3	integrates	integrate	VERB
cana-3493	70	4	various	various	ADJ
cana-3493	70	5	components	component	NOUN
cana-3493	70	6	,	,	PUNCT
cana-3493	70	7	including	include	VERB
cana-3493	70	8	tokenization	tokenization	NOUN
cana-3493	70	9	,	,	PUNCT
cana-3493	70	10	abstract	abstract	ADJ
cana-3493	70	11	syntax	syntax	NOUN
cana-3493	70	12	tree	tree	NOUN
cana-3493	70	13	(	(	PUNCT
cana-3493	70	14	ast	ast	NOUN
cana-3493	70	15	)	)	PUNCT
cana-3493	70	16	generation	generation	NOUN
cana-3493	70	17	,	,	PUNCT
cana-3493	70	18	feature	feature	NOUN
cana-3493	70	19	extraction	extraction	NOUN
cana-3493	70	20	,	,	PUNCT
cana-3493	70	21	and	and	CCONJ
cana-3493	70	22	a	a	DET
cana-3493	70	23	hybrid	hybrid	ADJ
cana-3493	70	24	model	model	NOUN
cana-3493	70	25	comprising	comprise	VERB
cana-3493	70	26	convolutional	convolutional	ADJ
cana-3493	70	27	neural	neural	ADJ
cana-3493	70	28	networks	network	NOUN
cana-3493	70	29	(	(	PUNCT
cana-3493	70	30	cnns	cnns	PROPN
cana-3493	70	31	)	)	PUNCT
cana-3493	70	32	and	and	CCONJ
cana-3493	70	33	long	long	ADJ
cana-3493	70	34	short	short	ADJ
cana-3493	70	35	-	-	PUNCT
cana-3493	70	36	term	term	NOUN
cana-3493	70	37	memory	memory	NOUN
cana-3493	70	38	(	(	PUNCT
cana-3493	70	39	lstm	lstm	NOUN
cana-3493	70	40	)	)	PUNCT
cana-3493	70	41	networks	network	NOUN
cana-3493	70	42	.	.	PUNCT
cana-3493	71	1	additionally	additionally	ADV
cana-3493	71	2	,	,	PUNCT
cana-3493	71	3	graph	graph	NOUN
cana-3493	71	4	neural	neural	ADJ
cana-3493	71	5	networks	network	NOUN
cana-3493	71	6	(	(	PUNCT
cana-3493	71	7	gnns	gnns	NOUN
cana-3493	71	8	)	)	PUNCT
cana-3493	71	9	are	be	AUX
cana-3493	71	10	used	use	VERB
cana-3493	71	11	for	for	ADP
cana-3493	71	12	program	program	NOUN
cana-3493	71	13	semantics	semantic	NOUN
cana-3493	71	14	,	,	PUNCT
cana-3493	71	15	and	and	CCONJ
cana-3493	71	16	a	a	DET
cana-3493	71	17	blockchain	blockchain	NOUN
cana-3493	71	18	module	module	NOUN
cana-3493	71	19	ensures	ensure	VERB
cana-3493	71	20	traceability	traceability	NOUN
cana-3493	71	21	and	and	CCONJ
cana-3493	71	22	transparency	transparency	NOUN
cana-3493	71	23	.	.	PUNCT
cana-3493	72	1	algorithm	algorithm	NOUN
cana-3493	72	2	:	:	PUNCT
cana-3493	72	3	hybrid	hybrid	ADJ
cana-3493	72	4	vulnerability	vulnerability	NOUN
cana-3493	72	5	detection	detection	NOUN
cana-3493	72	6	algorithm	algorithm	NOUN
cana-3493	72	7	(	(	PUNCT
cana-3493	72	8	hyvda	hyvda	NOUN
cana-3493	72	9	)	)	PUNCT
cana-3493	72	10	function	function	NOUN
cana-3493	72	11	hyvda(code_snippets	hyvda(code_snippet	NOUN
cana-3493	72	12	,	,	PUNCT
cana-3493	72	13	pretrainedmodel	pretrainedmodel	ADJ
cana-3493	72	14	,	,	PUNCT
cana-3493	72	15	asttool	asttool	ADJ
cana-3493	72	16	,	,	PUNCT
cana-3493	72	17	blockchainservice	blockchainservice	NOUN
cana-3493	72	18	):	):	PUNCT
cana-3493	72	19	initialize	initialize	VERB
cana-3493	72	20	predictions	prediction	NOUN
cana-3493	72	21	=	=	PUNCT
cana-3493	73	1	[	[	X
cana-3493	73	2	]	]	X
cana-3493	73	3	for	for	ADP
cana-3493	73	4	each	each	DET
cana-3493	73	5	code_snippet	code_snippet	PROPN
cana-3493	73	6	in	in	ADP
cana-3493	73	7	code_snippets	code_snippet	NOUN
cana-3493	73	8	:	:	PUNCT
cana-3493	73	9	step	step	NOUN
cana-3493	73	10	1	1	NUM
cana-3493	73	11	:	:	PUNCT
cana-3493	73	12	preprocessing	preprocesse	VERB
cana-3493	73	13	tokens	token	NOUN
cana-3493	73	14	=	=	SYM
cana-3493	73	15	tokenize(code_snippet	tokenize(code_snippet	NOUN
cana-3493	73	16	)	)	PUNCT
cana-3493	73	17	ast	ast	NOUN
cana-3493	73	18	=	=	PUNCT
cana-3493	73	19	asttool.generateast(code_snippet	asttool.generateast(code_snippet	NOUN
cana-3493	73	20	)	)	PUNCT
cana-3493	73	21	step	step	NOUN
cana-3493	73	22	2	2	NUM
cana-3493	73	23	:	:	PUNCT
cana-3493	73	24	embedding	embed	VERB
cana-3493	73	25	generation	generation	NOUN
cana-3493	73	26	token_embeddings	token_embedding	NOUN
cana-3493	73	27	=	=	SYM
cana-3493	73	28	pretrainedmodel.generateembeddings(tokens	pretrainedmodel.generateembeddings(token	NOUN
cana-3493	73	29	)	)	PUNCT
cana-3493	73	30	ast_embeddings	ast_embedding	NOUN
cana-3493	73	31	=	=	SYM
cana-3493	73	32	generategraphembeddings(ast	generategraphembeddings(ast	PROPN
cana-3493	73	33	)	)	PUNCT
cana-3493	73	34	step	step	NOUN
cana-3493	73	35	3	3	NUM
cana-3493	73	36	:	:	PUNCT
cana-3493	73	37	feature	feature	NOUN
cana-3493	73	38	extraction	extraction	NOUN
cana-3493	73	39	cnn_features	cnn_feature	NOUN
cana-3493	73	40	=	=	SYM
cana-3493	73	41	cnn(token_embeddings	cnn(token_embedding	NOUN
cana-3493	73	42	)	)	PUNCT
cana-3493	73	43	lstm_features	lstm_feature	NOUN
cana-3493	73	44	=	=	SYM
cana-3493	73	45	lstm(cnn_features	lstm(cnn_feature	NOUN
cana-3493	73	46	)	)	PUNCT
cana-3493	73	47	gnn_features	gnn_feature	VERB
cana-3493	73	48	=	=	SYM
cana-3493	73	49	gnn(ast_embeddings	gnn(ast_embedding	NOUN
cana-3493	73	50	)	)	PUNCT
cana-3493	73	51	step	step	NOUN
cana-3493	73	52	4	4	NUM
cana-3493	73	53	:	:	PUNCT
cana-3493	73	54	feature	feature	NOUN
cana-3493	73	55	fusion	fusion	NOUN
cana-3493	73	56	combined_features	combined_feature	NOUN
cana-3493	73	57	=	=	SYM
cana-3493	73	58	concatenate(cnn_features	concatenate(cnn_feature	NOUN
cana-3493	73	59	,	,	PUNCT
cana-3493	73	60	lstm_features	lstm_feature	NOUN
cana-3493	73	61	,	,	PUNCT
cana-3493	73	62	gnn_features	gnn_feature	NOUN
cana-3493	73	63	)	)	PUNCT
cana-3493	73	64	step	step	NOUN
cana-3493	73	65	5	5	NUM
cana-3493	73	66	:	:	PUNCT
cana-3493	73	67	classification	classification	NOUN
cana-3493	73	68	probabilities	probability	NOUN
cana-3493	73	69	=	=	SYM
cana-3493	73	70	denselayerwithsoftmax(combined_features	denselayerwithsoftmax(combined_feature	NOUN
cana-3493	73	71	)	)	PUNCT
cana-3493	73	72	severity_class	severity_clas	NOUN
cana-3493	73	73	=	=	PUNCT
cana-3493	73	74	argmax(probabilities	argmax(probabilitie	NOUN
cana-3493	73	75	)	)	PUNCT
cana-3493	73	76	#	#	NOUN
cana-3493	73	77	assign	assign	VERB
cana-3493	73	78	the	the	DET
cana-3493	73	79	severity	severity	NOUN
cana-3493	73	80	class	class	NOUN
cana-3493	73	81	return	return	NOUN
cana-3493	73	82	predictions	prediction	NOUN
cana-3493	73	83	3.1	3.1	NUM
cana-3493	73	84	hybrid	hybrid	NOUN
cana-3493	73	85	vulnerability	vulnerability	NOUN
cana-3493	73	86	detection	detection	NOUN
cana-3493	73	87	algorithm	algorithm	NOUN
cana-3493	73	88	(	(	PUNCT
cana-3493	73	89	hyvda	hyvda	PROPN
cana-3493	73	90	)	)	PUNCT
cana-3493	73	91	the	the	DET
cana-3493	73	92	hybrid	hybrid	ADJ
cana-3493	73	93	vulnerability	vulnerability	NOUN
cana-3493	73	94	detection	detection	NOUN
cana-3493	73	95	algorithm	algorithm	NOUN
cana-3493	73	96	(	(	PUNCT
cana-3493	73	97	hyvda	hyvda	NOUN
cana-3493	73	98	)	)	PUNCT
cana-3493	73	99	operates	operate	VERB
cana-3493	73	100	through	through	ADP
cana-3493	73	101	a	a	DET
cana-3493	73	102	sequential	sequential	ADJ
cana-3493	73	103	and	and	CCONJ
cana-3493	73	104	integrated	integrated	ADJ
cana-3493	73	105	process	process	NOUN
cana-3493	73	106	designed	design	VERB
cana-3493	73	107	to	to	PART
cana-3493	73	108	identify	identify	VERB
cana-3493	73	109	vulnerabilities	vulnerability	NOUN
cana-3493	73	110	in	in	ADP
cana-3493	73	111	source	source	NOUN
cana-3493	73	112	code	code	NOUN
cana-3493	73	113	effectively	effectively	ADV
cana-3493	73	114	.	.	PUNCT
cana-3493	74	1	each	each	DET
cana-3493	74	2	step	step	NOUN
cana-3493	74	3	contributes	contribute	VERB
cana-3493	74	4	to	to	ADP
cana-3493	74	5	the	the	DET
cana-3493	74	6	overall	overall	ADJ
cana-3493	74	7	detection	detection	NOUN
cana-3493	74	8	pipeline	pipeline	NOUN
cana-3493	74	9	,	,	PUNCT
cana-3493	74	10	combining	combine	VERB
cana-3493	74	11	various	various	ADJ
cana-3493	74	12	technologies	technology	NOUN
cana-3493	74	13	such	such	ADJ
cana-3493	74	14	as	as	ADP
cana-3493	74	15	token	token	ADJ
cana-3493	74	16	embeddings	embedding	NOUN
cana-3493	74	17	,	,	PUNCT
cana-3493	74	18	cnns	cnn	NOUN
cana-3493	74	19	,	,	PUNCT
cana-3493	74	20	lstms	lstms	ADJ
cana-3493	74	21	,	,	PUNCT
cana-3493	74	22	and	and	CCONJ
cana-3493	74	23	gnns	gnns	ADJ
cana-3493	74	24	to	to	PART
cana-3493	74	25	deliver	deliver	VERB
cana-3493	74	26	a	a	DET
cana-3493	74	27	robust	robust	ADJ
cana-3493	74	28	analysis	analysis	NOUN
cana-3493	74	29	.	.	PUNCT
cana-3493	75	1	here	here	ADV
cana-3493	75	2	's	be	AUX
cana-3493	75	3	a	a	DET
cana-3493	75	4	step	step	NOUN
cana-3493	75	5	-	-	PUNCT
cana-3493	75	6	by	by	ADP
cana-3493	75	7	-	-	PUNCT
cana-3493	75	8	step	step	NOUN
cana-3493	75	9	explanation	explanation	NOUN
cana-3493	75	10	of	of	ADP
cana-3493	75	11	the	the	DET
cana-3493	75	12	process	process	NOUN
cana-3493	75	13	:	:	PUNCT
cana-3493	75	14	3.1.1	3.1.1	X
cana-3493	75	15	.	.	PUNCT
cana-3493	75	16	preprocessing	preprocesse	VERB
cana-3493	75	17	and	and	CCONJ
cana-3493	75	18	feature	feature	NOUN
cana-3493	75	19	extraction	extraction	NOUN
cana-3493	75	20	tokenization	tokenization	NOUN
cana-3493	75	21	:	:	PUNCT
cana-3493	75	22	the	the	DET
cana-3493	75	23	input	input	NOUN
cana-3493	75	24	source	source	NOUN
cana-3493	75	25	code	code	NOUN
cana-3493	75	26	s={s1,s2,	s={s1,s2,	PROPN
cana-3493	75	27	…	…	SYM
cana-3493	75	28	,sn}s={s1,s2,	,sn}s={s1,s2,	SYM
cana-3493	75	29	…	…	PUNCT
cana-3493	75	30	,sn	,sn	PUNCT
cana-3493	75	31	}	}	PUNCT
cana-3493	75	32	is	be	AUX
cana-3493	75	33	tokenized	tokenize	VERB
cana-3493	75	34	into	into	ADP
cana-3493	75	35	meaningful	meaningful	ADJ
cana-3493	75	36	units	unit	NOUN
cana-3493	75	37	(	(	PUNCT
cana-3493	75	38	keywords	keyword	NOUN
cana-3493	75	39	,	,	PUNCT
cana-3493	75	40	operators	operator	NOUN
cana-3493	75	41	,	,	PUNCT
cana-3493	75	42	identifiers	identifier	NOUN
cana-3493	75	43	,	,	PUNCT
cana-3493	75	44	etc	etc	X
cana-3493	75	45	.	.	X
cana-3493	75	46	)	)	PUNCT
cana-3493	75	47	.	.	PUNCT
cana-3493	76	1	equation	equation	NOUN
cana-3493	76	2	for	for	ADP
cana-3493	76	3	token	token	ADJ
cana-3493	76	4	embedding	embed	VERB
cana-3493	76	5	:	:	PUNCT
cana-3493	76	6	ei	ei	PART
cana-3493	76	7	=	=	VERB
cana-3493	76	8	f(wi	f(wi	ADV
cana-3493	76	9	,	,	PUNCT
cana-3493	76	10	context(wi	context(wi	NOUN
cana-3493	76	11	)	)	PUNCT
cana-3493	76	12	)	)	PUNCT
cana-3493	77	1	eq(1	eq(1	NOUN
cana-3493	77	2	)	)	PUNCT
cana-3493	77	3	where	where	SCONJ
cana-3493	77	4	wi	wi	PROPN
cana-3493	77	5	is	be	AUX
cana-3493	77	6	a	a	DET
cana-3493	77	7	token	token	ADJ
cana-3493	77	8	,	,	PUNCT
cana-3493	77	9	and	and	CCONJ
cana-3493	77	10	context(wi	context(wi	VERB
cana-3493	77	11	)	)	PUNCT
cana-3493	77	12	represents	represent	VERB
cana-3493	77	13	its	its	PRON
cana-3493	77	14	surrounding	surround	VERB
cana-3493	77	15	tokens	token	NOUN
cana-3493	77	16	.	.	PUNCT
cana-3493	78	1	communications	communication	NOUN
cana-3493	78	2	on	on	ADP
cana-3493	78	3	applied	apply	VERB
cana-3493	78	4	nonlinear	nonlinear	ADJ
cana-3493	78	5	analysis	analysis	NOUN
cana-3493	78	6	issn	issn	NOUN
cana-3493	78	7	:	:	PUNCT
cana-3493	78	8	1074	1074	NUM
cana-3493	78	9	-	-	PUNCT
cana-3493	78	10	133x	133x	NUM
cana-3493	78	11	vol	vol	NOUN
cana-3493	78	12	32	32	NUM
cana-3493	78	13	no	no	NOUN
cana-3493	78	14	.	.	PUNCT
cana-3493	79	1	7s	7	NOUN
cana-3493	79	2	(	(	PUNCT
cana-3493	79	3	2025	2025	NUM
cana-3493	79	4	)	)	PUNCT
cana-3493	79	5	894	894	NUM
cana-3493	79	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	79	7	abstract	abstract	ADJ
cana-3493	79	8	syntax	syntax	NOUN
cana-3493	79	9	tree	tree	NOUN
cana-3493	79	10	(	(	PUNCT
cana-3493	79	11	ast	ast	NOUN
cana-3493	79	12	)	)	PUNCT
cana-3493	79	13	generation	generation	NOUN
cana-3493	79	14	:	:	PUNCT
cana-3493	79	15	asts	ast	NOUN
cana-3493	79	16	represent	represent	VERB
cana-3493	79	17	the	the	DET
cana-3493	79	18	syntactic	syntactic	ADJ
cana-3493	79	19	structure	structure	NOUN
cana-3493	79	20	of	of	ADP
cana-3493	79	21	the	the	DET
cana-3493	79	22	code	code	NOUN
cana-3493	79	23	,	,	PUNCT
cana-3493	79	24	capturing	capture	VERB
cana-3493	79	25	hierarchical	hierarchical	ADJ
cana-3493	79	26	relationships	relationship	NOUN
cana-3493	79	27	.	.	PUNCT
cana-3493	80	1	3.1.2	3.1.2	NUM
cana-3493	80	2	hybrid	hybrid	ADJ
cana-3493	80	3	deep	deep	ADJ
cana-3493	80	4	learning	learning	NOUN
cana-3493	80	5	model	model	NOUN
cana-3493	80	6	architecture	architecture	NOUN
cana-3493	80	7	overview	overview	NOUN
cana-3493	80	8	:	:	PUNCT
cana-3493	80	9	•	•	NUM
cana-3493	80	10	cnn	cnn	PROPN
cana-3493	80	11	for	for	ADP
cana-3493	80	12	local	local	ADJ
cana-3493	80	13	pattern	pattern	NOUN
cana-3493	80	14	recognition	recognition	NOUN
cana-3493	80	15	:	:	PUNCT
cana-3493	80	16	convolution	convolution	NOUN
cana-3493	80	17	operations	operation	NOUN
cana-3493	80	18	capture	capture	VERB
cana-3493	80	19	local	local	ADJ
cana-3493	80	20	patterns	pattern	NOUN
cana-3493	80	21	,	,	PUNCT
cana-3493	80	22	such	such	ADJ
cana-3493	80	23	as	as	ADP
cana-3493	80	24	common	common	ADJ
cana-3493	80	25	vulnerability	vulnerability	NOUN
cana-3493	80	26	sequences	sequence	NOUN
cana-3493	80	27	.	.	PUNCT
cana-3493	81	1	equation	equation	NOUN
cana-3493	81	2	for	for	ADP
cana-3493	81	3	cnn	cnn	PROPN
cana-3493	81	4	:	:	PUNCT
cana-3493	81	5	z	z	NOUN
cana-3493	81	6	=	=	NOUN
cana-3493	81	7	relu(conv(e	relu(conv(e	X
cana-3493	81	8	,	,	PUNCT
cana-3493	81	9	k)+b	k)+b	PROPN
cana-3493	81	10	)	)	PUNCT
cana-3493	81	11	eq(2	eq(2	PROPN
cana-3493	81	12	)	)	PUNCT
cana-3493	81	13	where	where	SCONJ
cana-3493	81	14	e	e	NOUN
cana-3493	81	15	is	be	AUX
cana-3493	81	16	the	the	DET
cana-3493	81	17	input	input	NOUN
cana-3493	81	18	embedding	embed	VERB
cana-3493	81	19	,	,	PUNCT
cana-3493	81	20	k	k	PROPN
cana-3493	81	21	is	be	AUX
cana-3493	81	22	the	the	DET
cana-3493	81	23	kernel	kernel	NOUN
cana-3493	81	24	,	,	PUNCT
cana-3493	81	25	and	and	CCONJ
cana-3493	81	26	b	b	X
cana-3493	81	27	is	be	AUX
cana-3493	81	28	the	the	DET
cana-3493	81	29	bias	bias	NOUN
cana-3493	81	30	.	.	PUNCT
cana-3493	82	1	•	•	NUM
cana-3493	82	2	lstm	lstm	NOUN
cana-3493	82	3	for	for	ADP
cana-3493	82	4	sequential	sequential	ADJ
cana-3493	82	5	dependency	dependency	NOUN
cana-3493	82	6	analysis	analysis	NOUN
cana-3493	82	7	:	:	PUNCT
cana-3493	82	8	lstm	lstm	NOUN
cana-3493	82	9	layers	layer	NOUN
cana-3493	82	10	model	model	VERB
cana-3493	82	11	temporal	temporal	ADJ
cana-3493	82	12	dependencies	dependency	NOUN
cana-3493	82	13	in	in	ADP
cana-3493	82	14	code	code	NOUN
cana-3493	82	15	.	.	PUNCT
cana-3493	83	1	equation	equation	NOUN
cana-3493	83	2	for	for	ADP
cana-3493	83	3	lstm	lstm	NOUN
cana-3493	83	4	:	:	PUNCT
cana-3493	83	5	ht	ht	PROPN
cana-3493	83	6	=	=	SYM
cana-3493	83	7	σ(wxxt+whht−1+bh	σ(wxxt+whht−1+bh	PROPN
cana-3493	83	8	)	)	PUNCT
cana-3493	83	9	eq(3	eq(3	PROPN
cana-3493	83	10	)	)	PUNCT
cana-3493	83	11	where	where	SCONJ
cana-3493	83	12	ht	ht	PROPN
cana-3493	83	13	is	be	AUX
cana-3493	83	14	the	the	DET
cana-3493	83	15	hidden	hidden	ADJ
cana-3493	83	16	state	state	NOUN
cana-3493	83	17	at	at	ADP
cana-3493	83	18	time	time	NOUN
cana-3493	83	19	t	t	PROPN
cana-3493	83	20	,	,	PUNCT
cana-3493	83	21	xt	xt	PROPN
cana-3493	83	22	is	be	AUX
cana-3493	83	23	the	the	DET
cana-3493	83	24	input	input	NOUN
cana-3493	83	25	embedding	embed	VERB
cana-3493	83	26	,	,	PUNCT
cana-3493	83	27	and	and	CCONJ
cana-3493	83	28	wx	wx	PROPN
cana-3493	83	29	,	,	PUNCT
cana-3493	83	30	wh	wh	NOUN
cana-3493	83	31	,	,	PUNCT
cana-3493	83	32	and	and	CCONJ
cana-3493	83	33	bh	bh	NOUN
cana-3493	83	34	are	be	AUX
cana-3493	83	35	the	the	DET
cana-3493	83	36	weights	weight	NOUN
cana-3493	83	37	and	and	CCONJ
cana-3493	83	38	bias	bias	NOUN
cana-3493	83	39	.	.	PUNCT
cana-3493	84	1	•	•	NUM
cana-3493	84	2	graph	graph	NOUN
cana-3493	84	3	neural	neural	ADJ
cana-3493	84	4	networks	network	NOUN
cana-3493	84	5	(	(	PUNCT
cana-3493	84	6	gnns	gnns	ADJ
cana-3493	84	7	):	):	PUNCT
cana-3493	84	8	gnns	gnn	NOUN
cana-3493	84	9	represent	represent	VERB
cana-3493	84	10	control	control	NOUN
cana-3493	84	11	-	-	PUNCT
cana-3493	84	12	flow	flow	NOUN
cana-3493	84	13	and	and	CCONJ
cana-3493	84	14	data	data	NOUN
cana-3493	84	15	-	-	PUNCT
cana-3493	84	16	flow	flow	NOUN
cana-3493	84	17	graphs	graph	NOUN
cana-3493	84	18	for	for	ADP
cana-3493	84	19	semantic	semantic	ADJ
cana-3493	84	20	understanding	understanding	NOUN
cana-3493	84	21	.	.	PUNCT
cana-3493	85	1	equation	equation	NOUN
cana-3493	85	2	for	for	ADP
cana-3493	85	3	gnn	gnn	PROPN
cana-3493	85	4	node	node	PROPN
cana-3493	85	5	update	update	NOUN
cana-3493	85	6	:	:	PUNCT
cana-3493	85	7	ℎ𝑣	ℎ𝑣	X
cana-3493	85	8	(	(	PUNCT
cana-3493	85	9	𝑘+1	𝑘+1	NOUN
cana-3493	85	10	)	)	PUNCT
cana-3493	86	1	=	=	SYM
cana-3493	86	2	𝜎(𝑊(𝑘)ℎ𝑣	𝜎(𝑊(𝑘)ℎ𝑣	PROPN
cana-3493	86	3	(	(	PUNCT
cana-3493	86	4	𝑘	𝑘	NOUN
cana-3493	86	5	)	)	PUNCT
cana-3493	87	1	+	+	CCONJ
cana-3493	87	2	∑	∑	PROPN
cana-3493	87	3	𝐸𝑢𝑣ℎ𝑢	𝐸𝑢𝑣ℎ𝑢	PROPN
cana-3493	87	4	(	(	PUNCT
cana-3493	87	5	𝑘	𝑘	NOUN
cana-3493	87	6	)	)	PUNCT
cana-3493	87	7	𝑢∈𝑁(𝑣	𝑢∈𝑁(𝑣	NUM
cana-3493	87	8	)	)	PUNCT
cana-3493	87	9	)	)	PUNCT
cana-3493	87	10	eq(4	eq(4	PROPN
cana-3493	87	11	)	)	PUNCT
cana-3493	87	12	where	where	SCONJ
cana-3493	87	13	hv	hv	PROPN
cana-3493	87	14	(	(	PUNCT
cana-3493	87	15	k	k	NOUN
cana-3493	87	16	)	)	PUNCT
cana-3493	87	17	is	be	AUX
cana-3493	87	18	the	the	DET
cana-3493	87	19	state	state	NOUN
cana-3493	87	20	of	of	ADP
cana-3493	87	21	node	node	PROPN
cana-3493	87	22	v	v	NOUN
cana-3493	87	23	at	at	ADP
cana-3493	87	24	layer	layer	NOUN
cana-3493	87	25	k	k	PROPN
cana-3493	87	26	,	,	PUNCT
cana-3493	87	27	n(v	n(v	PROPN
cana-3493	87	28	)	)	PUNCT
cana-3493	87	29	is	be	AUX
cana-3493	87	30	the	the	DET
cana-3493	87	31	set	set	NOUN
cana-3493	87	32	of	of	ADP
cana-3493	87	33	neighbors	neighbor	NOUN
cana-3493	87	34	of	of	ADP
cana-3493	87	35	v	v	NOUN
cana-3493	87	36	,	,	PUNCT
cana-3493	87	37	and	and	CCONJ
cana-3493	87	38	euv	euv	X
cana-3493	87	39	is	be	AUX
cana-3493	87	40	the	the	DET
cana-3493	87	41	edge	edge	NOUN
cana-3493	87	42	weight	weight	NOUN
cana-3493	87	43	.	.	PUNCT
cana-3493	88	1	3.1.3	3.1.3	NUM
cana-3493	88	2	classification	classification	NOUN
cana-3493	88	3	and	and	CCONJ
cana-3493	88	4	severity	severity	NOUN
cana-3493	88	5	prediction	prediction	NOUN
cana-3493	88	6	the	the	DET
cana-3493	88	7	hybrid	hybrid	NOUN
cana-3493	88	8	model	model	NOUN
cana-3493	88	9	outputs	output	VERB
cana-3493	88	10	a	a	DET
cana-3493	88	11	binary	binary	ADJ
cana-3493	88	12	classification	classification	NOUN
cana-3493	88	13	(	(	PUNCT
cana-3493	88	14	vulnerable	vulnerable	ADJ
cana-3493	88	15	or	or	CCONJ
cana-3493	88	16	non	non	ADJ
cana-3493	88	17	-	-	ADJ
cana-3493	88	18	vulnerable	vulnerable	ADJ
cana-3493	88	19	)	)	PUNCT
cana-3493	88	20	and	and	CCONJ
cana-3493	88	21	predicts	predict	VERB
cana-3493	88	22	severity	severity	NOUN
cana-3493	88	23	levels	level	NOUN
cana-3493	88	24	(	(	PUNCT
cana-3493	88	25	critical	critical	ADJ
cana-3493	88	26	,	,	PUNCT
cana-3493	88	27	high	high	ADJ
cana-3493	88	28	,	,	PUNCT
cana-3493	88	29	medium	medium	ADJ
cana-3493	88	30	,	,	PUNCT
cana-3493	88	31	low	low	ADJ
cana-3493	88	32	)	)	PUNCT
cana-3493	88	33	using	use	VERB
cana-3493	88	34	the	the	DET
cana-3493	88	35	final	final	ADJ
cana-3493	88	36	dense	dense	ADJ
cana-3493	88	37	layer	layer	NOUN
cana-3493	88	38	.	.	PUNCT
cana-3493	89	1	softmax	softmax	NOUN
cana-3493	89	2	equation	equation	NOUN
cana-3493	89	3	:	:	PUNCT
cana-3493	89	4	y	y	PROPN
cana-3493	89	5	=	=	SYM
cana-3493	89	6	softmax(wdh+bd	softmax(wdh+bd	PROPN
cana-3493	89	7	)	)	PUNCT
cana-3493	89	8	eq(5	eq(5	NOUN
cana-3493	89	9	)	)	PUNCT
cana-3493	89	10	where	where	SCONJ
cana-3493	89	11	wd	wd	PROPN
cana-3493	89	12	and	and	CCONJ
cana-3493	89	13	bd	bd	PROPN
cana-3493	89	14	are	be	AUX
cana-3493	89	15	weights	weight	NOUN
cana-3493	89	16	and	and	CCONJ
cana-3493	89	17	biases	bias	NOUN
cana-3493	89	18	,	,	PUNCT
cana-3493	89	19	and	and	CCONJ
cana-3493	89	20	h	h	NOUN
cana-3493	89	21	is	be	AUX
cana-3493	89	22	the	the	DET
cana-3493	89	23	lstm	lstm	ADJ
cana-3493	89	24	output	output	NOUN
cana-3493	89	25	.	.	PUNCT
cana-3493	90	1	the	the	DET
cana-3493	90	2	algorithm	algorithm	NOUN
cana-3493	90	3	begins	begin	VERB
cana-3493	90	4	with	with	ADP
cana-3493	90	5	preprocessing	preprocessing	NOUN
cana-3493	90	6	,	,	PUNCT
cana-3493	90	7	where	where	SCONJ
cana-3493	90	8	each	each	DET
cana-3493	90	9	source	source	NOUN
cana-3493	90	10	code	code	NOUN
cana-3493	90	11	snippet	snippet	NOUN
cana-3493	90	12	is	be	AUX
cana-3493	90	13	tokenized	tokenize	VERB
cana-3493	90	14	to	to	PART
cana-3493	90	15	convert	convert	VERB
cana-3493	90	16	it	it	PRON
cana-3493	90	17	into	into	ADP
cana-3493	90	18	a	a	DET
cana-3493	90	19	sequence	sequence	NOUN
cana-3493	90	20	of	of	ADP
cana-3493	90	21	meaningful	meaningful	ADJ
cana-3493	90	22	symbols	symbol	NOUN
cana-3493	90	23	,	,	PUNCT
cana-3493	90	24	allowing	allow	VERB
cana-3493	90	25	the	the	DET
cana-3493	90	26	model	model	NOUN
cana-3493	90	27	to	to	PART
cana-3493	90	28	process	process	VERB
cana-3493	90	29	the	the	DET
cana-3493	90	30	code	code	NOUN
cana-3493	90	31	efficiently	efficiently	ADV
cana-3493	90	32	.	.	PUNCT
cana-3493	91	1	additionally	additionally	ADV
cana-3493	91	2	,	,	PUNCT
cana-3493	91	3	an	an	DET
cana-3493	91	4	abstract	abstract	ADJ
cana-3493	91	5	syntax	syntax	NOUN
cana-3493	91	6	tree	tree	NOUN
cana-3493	91	7	(	(	PUNCT
cana-3493	91	8	ast	ast	NOUN
cana-3493	91	9	)	)	PUNCT
cana-3493	91	10	is	be	AUX
cana-3493	91	11	generated	generate	VERB
cana-3493	91	12	from	from	ADP
cana-3493	91	13	the	the	DET
cana-3493	91	14	code	code	NOUN
cana-3493	91	15	.	.	PUNCT
cana-3493	92	1	this	this	DET
cana-3493	92	2	tree	tree	NOUN
cana-3493	92	3	represents	represent	VERB
cana-3493	92	4	the	the	DET
cana-3493	92	5	syntactic	syntactic	ADJ
cana-3493	92	6	structure	structure	NOUN
cana-3493	92	7	of	of	ADP
cana-3493	92	8	the	the	DET
cana-3493	92	9	source	source	NOUN
cana-3493	92	10	code	code	NOUN
cana-3493	92	11	,	,	PUNCT
cana-3493	92	12	providing	provide	VERB
cana-3493	92	13	a	a	DET
cana-3493	92	14	hierarchical	hierarchical	ADJ
cana-3493	92	15	view	view	NOUN
cana-3493	92	16	that	that	PRON
cana-3493	92	17	captures	capture	VERB
cana-3493	92	18	relationships	relationship	NOUN
cana-3493	92	19	between	between	ADP
cana-3493	92	20	different	different	ADJ
cana-3493	92	21	code	code	NOUN
cana-3493	92	22	elements	element	NOUN
cana-3493	92	23	.	.	PUNCT
cana-3493	93	1	once	once	ADV
cana-3493	93	2	preprocessing	preprocesse	VERB
cana-3493	93	3	is	be	AUX
cana-3493	93	4	complete	complete	ADJ
cana-3493	93	5	,	,	PUNCT
cana-3493	93	6	embeddings	embedding	NOUN
cana-3493	93	7	are	be	AUX
cana-3493	93	8	generated	generate	VERB
cana-3493	93	9	for	for	ADP
cana-3493	93	10	both	both	DET
cana-3493	93	11	tokens	token	NOUN
cana-3493	93	12	and	and	CCONJ
cana-3493	93	13	ast	ast	NOUN
cana-3493	93	14	nodes	node	NOUN
cana-3493	93	15	.	.	PUNCT
cana-3493	94	1	token	token	VERB
cana-3493	94	2	embeddings	embedding	NOUN
cana-3493	94	3	are	be	AUX
cana-3493	94	4	derived	derive	VERB
cana-3493	94	5	from	from	ADP
cana-3493	94	6	a	a	DET
cana-3493	94	7	pre	pre	ADJ
cana-3493	94	8	-	-	ADJ
cana-3493	94	9	trained	train	VERB
cana-3493	94	10	model	model	NOUN
cana-3493	94	11	such	such	ADJ
cana-3493	94	12	as	as	ADP
cana-3493	94	13	codebert	codebert	NOUN
cana-3493	94	14	,	,	PUNCT
cana-3493	94	15	which	which	PRON
cana-3493	94	16	maps	map	VERB
cana-3493	94	17	tokens	token	NOUN
cana-3493	94	18	into	into	ADP
cana-3493	94	19	dense	dense	ADJ
cana-3493	94	20	vector	vector	NOUN
cana-3493	94	21	representations	representation	NOUN
cana-3493	94	22	that	that	PRON
cana-3493	94	23	capture	capture	VERB
cana-3493	94	24	their	their	PRON
cana-3493	94	25	semantic	semantic	ADJ
cana-3493	94	26	meanings	meaning	NOUN
cana-3493	94	27	.	.	PUNCT
cana-3493	95	1	simultaneously	simultaneously	ADV
cana-3493	95	2	,	,	PUNCT
cana-3493	95	3	ast	ast	NOUN
cana-3493	95	4	embeddings	embedding	NOUN
cana-3493	95	5	are	be	AUX
cana-3493	95	6	produced	produce	VERB
cana-3493	95	7	using	use	VERB
cana-3493	95	8	graph	graph	NOUN
cana-3493	95	9	-	-	PUNCT
cana-3493	95	10	based	base	VERB
cana-3493	95	11	techniques	technique	NOUN
cana-3493	95	12	to	to	PART
cana-3493	95	13	encode	encode	VERB
cana-3493	95	14	structural	structural	ADJ
cana-3493	95	15	relationships	relationship	NOUN
cana-3493	95	16	within	within	ADP
cana-3493	95	17	the	the	DET
cana-3493	95	18	code	code	NOUN
cana-3493	95	19	.	.	PUNCT
cana-3493	96	1	with	with	ADP
cana-3493	96	2	the	the	DET
cana-3493	96	3	embeddings	embedding	NOUN
cana-3493	96	4	ready	ready	ADJ
cana-3493	96	5	,	,	PUNCT
cana-3493	96	6	feature	feature	NOUN
cana-3493	96	7	extraction	extraction	NOUN
cana-3493	96	8	begins	begin	VERB
cana-3493	96	9	.	.	PUNCT
cana-3493	97	1	the	the	DET
cana-3493	97	2	cnn	cnn	PROPN
cana-3493	97	3	processes	process	VERB
cana-3493	97	4	the	the	DET
cana-3493	97	5	token	token	ADJ
cana-3493	97	6	embeddings	embedding	NOUN
cana-3493	97	7	to	to	PART
cana-3493	97	8	detect	detect	VERB
cana-3493	97	9	local	local	ADJ
cana-3493	97	10	patterns	pattern	NOUN
cana-3493	97	11	,	,	PUNCT
cana-3493	97	12	such	such	ADJ
cana-3493	97	13	as	as	ADP
cana-3493	97	14	unsafe	unsafe	ADJ
cana-3493	97	15	function	function	NOUN
cana-3493	97	16	calls	call	NOUN
cana-3493	97	17	or	or	CCONJ
cana-3493	97	18	code	code	NOUN
cana-3493	97	19	constructs	construct	NOUN
cana-3493	97	20	that	that	PRON
cana-3493	97	21	might	might	AUX
cana-3493	97	22	indicate	indicate	VERB
cana-3493	97	23	communications	communication	NOUN
cana-3493	97	24	on	on	ADP
cana-3493	97	25	applied	apply	VERB
cana-3493	97	26	nonlinear	nonlinear	ADJ
cana-3493	97	27	analysis	analysis	NOUN
cana-3493	97	28	issn	issn	NOUN
cana-3493	97	29	:	:	PUNCT
cana-3493	97	30	1074	1074	NUM
cana-3493	97	31	-	-	PUNCT
cana-3493	97	32	133x	133x	NUM
cana-3493	97	33	vol	vol	NOUN
cana-3493	97	34	32	32	NUM
cana-3493	97	35	no	no	NOUN
cana-3493	97	36	.	.	PUNCT
cana-3493	98	1	7s	7	NOUN
cana-3493	98	2	(	(	PUNCT
cana-3493	98	3	2025	2025	NUM
cana-3493	98	4	)	)	PUNCT
cana-3493	98	5	895	895	NUM
cana-3493	98	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3493	98	7	vulnerabilities	vulnerability	NOUN
cana-3493	98	8	.	.	PUNCT
cana-3493	99	1	these	these	DET
cana-3493	99	2	local	local	ADJ
cana-3493	99	3	patterns	pattern	NOUN
cana-3493	99	4	are	be	AUX
cana-3493	99	5	then	then	ADV
cana-3493	99	6	passed	pass	VERB
cana-3493	99	7	through	through	ADP
cana-3493	99	8	an	an	DET
cana-3493	99	9	lstm	lstm	NOUN
cana-3493	99	10	,	,	PUNCT
cana-3493	99	11	which	which	PRON
cana-3493	99	12	captures	capture	VERB
cana-3493	99	13	temporal	temporal	ADJ
cana-3493	99	14	dependencies	dependency	NOUN
cana-3493	99	15	across	across	ADP
cana-3493	99	16	the	the	DET
cana-3493	99	17	sequence	sequence	NOUN
cana-3493	99	18	of	of	ADP
cana-3493	99	19	code	code	NOUN
cana-3493	99	20	lines	line	NOUN
cana-3493	99	21	or	or	CCONJ
cana-3493	99	22	functions	function	NOUN
cana-3493	99	23	,	,	PUNCT
cana-3493	99	24	ensuring	ensure	VERB
cana-3493	99	25	that	that	SCONJ
cana-3493	99	26	long	long	ADJ
cana-3493	99	27	-	-	PUNCT
cana-3493	99	28	term	term	NOUN
cana-3493	99	29	relationships	relationship	NOUN
cana-3493	99	30	are	be	AUX
cana-3493	99	31	not	not	PART
cana-3493	99	32	missed	miss	VERB
cana-3493	99	33	.	.	PUNCT
cana-3493	100	1	meanwhile	meanwhile	ADV
cana-3493	100	2	,	,	PUNCT
cana-3493	100	3	the	the	DET
cana-3493	100	4	ast	ast	NOUN
cana-3493	100	5	embeddings	embedding	NOUN
cana-3493	100	6	are	be	AUX
cana-3493	100	7	processed	process	VERB
cana-3493	100	8	using	use	VERB
cana-3493	100	9	a	a	DET
cana-3493	100	10	graph	graph	NOUN
cana-3493	100	11	neural	neural	ADJ
cana-3493	100	12	network	network	NOUN
cana-3493	100	13	(	(	PUNCT
cana-3493	100	14	gnn	gnn	PROPN
cana-3493	100	15	)	)	PUNCT
cana-3493	100	16	,	,	PUNCT
cana-3493	100	17	which	which	PRON
cana-3493	100	18	analyzes	analyze	VERB
cana-3493	100	19	the	the	DET
cana-3493	100	20	structure	structure	NOUN
cana-3493	100	21	of	of	ADP
cana-3493	100	22	the	the	DET
cana-3493	100	23	code	code	NOUN
cana-3493	100	24	to	to	PART
cana-3493	100	25	capture	capture	VERB
cana-3493	100	26	semantic	semantic	ADJ
cana-3493	100	27	dependencies	dependency	NOUN
cana-3493	100	28	and	and	CCONJ
cana-3493	100	29	contextual	contextual	ADJ
cana-3493	100	30	relationships	relationship	NOUN
cana-3493	100	31	between	between	ADP
cana-3493	100	32	elements	element	NOUN
cana-3493	100	33	.	.	PUNCT
cana-3493	101	1	4	4	X
cana-3493	101	2	.	.	NOUN
cana-3493	101	3	results	result	NOUN
cana-3493	101	4	and	and	CCONJ
cana-3493	101	5	discussion	discussion	NOUN
cana-3493	101	6	fig	fig	NOUN
cana-3493	101	7	4	4	NUM
cana-3493	101	8	:	:	PUNCT
cana-3493	101	9	uploading	upload	VERB
cana-3493	101	10	the	the	DET
cana-3493	101	11	bug	bug	NOUN
cana-3493	101	12	reports	report	NOUN
cana-3493	101	13	,	,	PUNCT
cana-3493	101	14	test	test	NOUN
cana-3493	101	15	cases	case	NOUN
cana-3493	101	16	and	and	CCONJ
cana-3493	101	17	test	test	NOUN
cana-3493	101	18	results	result	VERB
cana-3493	101	19	files	file	NOUN
cana-3493	101	20	this	this	DET
cana-3493	101	21	figure	figure	NOUN
cana-3493	101	22	represents	represent	VERB
cana-3493	101	23	the	the	DET
cana-3493	101	24	interface	interface	NOUN
cana-3493	101	25	or	or	CCONJ
cana-3493	101	26	functionality	functionality	NOUN
cana-3493	101	27	wherein	wherein	ADJ
cana-3493	101	28	testers	tester	NOUN
cana-3493	101	29	upload	upload	VERB
cana-3493	101	30	three	three	NUM
cana-3493	101	31	vital	vital	ADJ
cana-3493	101	32	files	file	NOUN
cana-3493	101	33	:	:	PUNCT
cana-3493	101	34	bug	bug	NOUN
cana-3493	101	35	reviews	review	NOUN
cana-3493	101	36	,	,	PUNCT
cana-3493	101	37	check	check	VERB
cana-3493	101	38	case	case	NOUN
cana-3493	101	39	information	information	NOUN
cana-3493	101	40	,	,	PUNCT
cana-3493	101	41	and	and	CCONJ
cana-3493	101	42	take	take	VERB
cana-3493	101	43	a	a	DET
cana-3493	101	44	look	look	NOUN
cana-3493	101	45	at	at	ADP
cana-3493	101	46	outcomes	outcome	NOUN
cana-3493	101	47	.	.	PUNCT
cana-3493	102	1	the	the	DET
cana-3493	102	2	uploaded	uploaded	ADJ
cana-3493	102	3	files	file	NOUN
cana-3493	102	4	undergo	undergo	VERB
cana-3493	102	5	an	an	DET
cana-3493	102	6	initial	initial	ADJ
cana-3493	102	7	validation	validation	NOUN
cana-3493	102	8	step	step	NOUN
cana-3493	102	9	to	to	PART
cana-3493	102	10	make	make	VERB
cana-3493	102	11	certain	certain	ADJ
cana-3493	102	12	they	they	PRON
cana-3493	102	13	conform	conform	VERB
cana-3493	102	14	to	to	ADP
cana-3493	102	15	required	required	ADJ
cana-3493	102	16	codecs	codec	NOUN
cana-3493	102	17	(	(	PUNCT
cana-3493	102	18	csv	csv	NOUN
cana-3493	102	19	)	)	PUNCT
cana-3493	102	20	and	and	CCONJ
cana-3493	102	21	incorporate	incorporate	VERB
cana-3493	102	22	necessary	necessary	ADJ
cana-3493	102	23	columns	column	NOUN
cana-3493	102	24	inclusive	inclusive	NOUN
cana-3493	102	25	of	of	ADP
cana-3493	102	26	test_case_id	test_case_id	PROPN
cana-3493	102	27	for	for	ADP
cana-3493	102	28	constant	constant	ADJ
cana-3493	102	29	mapping	mapping	NOUN
cana-3493	102	30	.	.	PUNCT
cana-3493	103	1	the	the	DET
cana-3493	103	2	device	device	NOUN
cana-3493	103	3	shows	show	VERB
cana-3493	103	4	prompts	prompt	NOUN
cana-3493	103	5	or	or	CCONJ
cana-3493	103	6	errors	error	NOUN
cana-3493	103	7	for	for	ADP
cana-3493	103	8	missing	miss	VERB
cana-3493	103	9	or	or	CCONJ
cana-3493	103	10	improperly	improperly	ADV
cana-3493	103	11	formatted	format	VERB
cana-3493	103	12	columns	column	NOUN
cana-3493	103	13	,	,	PUNCT
cana-3493	103	14	ensuring	ensure	VERB
cana-3493	103	15	information	information	NOUN
cana-3493	103	16	integrity	integrity	NOUN
cana-3493	103	17	.	.	PUNCT
cana-3493	104	1	this	this	DET
cana-3493	104	2	system	system	NOUN
cana-3493	104	3	marks	mark	VERB
cana-3493	104	4	the	the	DET
cana-3493	104	5	access	access	NOUN
cana-3493	104	6	factor	factor	NOUN
cana-3493	104	7	of	of	ADP
cana-3493	104	8	the	the	DET
cana-3493	104	9	application	application	NOUN
cana-3493	104	10	,	,	PUNCT
cana-3493	104	11	where	where	SCONJ
cana-3493	104	12	raw	raw	ADJ
cana-3493	104	13	data	data	NOUN
cana-3493	104	14	transitions	transition	NOUN
cana-3493	104	15	into	into	ADP
cana-3493	104	16	the	the	DET
cana-3493	104	17	blockchain	blockchain	PROPN
cana-3493	104	18	-	-	PUNCT
cana-3493	104	19	included	include	VERB
cana-3493	104	20	pipeline	pipeline	NOUN
cana-3493	104	21	.	.	PUNCT
cana-3493	105	1	by	by	ADP
cana-3493	105	2	centralizing	centralize	VERB
cana-3493	105	3	these	these	DET
cana-3493	105	4	uploads	upload	NOUN
cana-3493	105	5	,	,	PUNCT
cana-3493	105	6	the	the	DET
cana-3493	105	7	device	device	NOUN
cana-3493	105	8	simplifies	simplify	VERB
cana-3493	105	9	the	the	DET
cana-3493	105	10	workflow	workflow	NOUN
cana-3493	105	11	,	,	PUNCT
cana-3493	105	12	removing	remove	VERB
cana-3493	105	13	the	the	DET
cana-3493	105	14	want	want	NOUN
cana-3493	105	15	for	for	ADP
cana-3493	105	16	multiple	multiple	ADJ
cana-3493	105	17	guide	guide	NOUN
cana-3493	105	18	inputs	input	NOUN
cana-3493	105	19	.	.	PUNCT
cana-3493	106	1	it	it	PRON
cana-3493	106	2	demonstrates	demonstrate	VERB
cana-3493	106	3	consumer	consumer	NOUN
cana-3493	106	4	-	-	PUNCT
cana-3493	106	5	centric	centric	NOUN
cana-3493	106	6	design	design	NOUN
cana-3493	106	7	with	with	ADP
cana-3493	106	8	clean	clean	ADJ
cana-3493	106	9	instructions	instruction	NOUN
cana-3493	106	10	,	,	PUNCT
cana-3493	106	11	report	report	NOUN
cana-3493	106	12	add	add	VERB
cana-3493	106	13	development	development	NOUN
cana-3493	106	14	indicators	indicator	NOUN
cana-3493	106	15	,	,	PUNCT
cana-3493	106	16	and	and	CCONJ
cana-3493	106	17	error	error	NOUN
cana-3493	106	18	notifications	notification	NOUN
cana-3493	106	19	.	.	PUNCT
cana-3493	107	1	this	this	DET
cana-3493	107	2	stage	stage	NOUN
cana-3493	107	3	is	be	AUX
cana-3493	107	4	important	important	ADJ
cana-3493	107	5	for	for	ADP
cana-3493	107	6	making	make	VERB
cana-3493	107	7	sure	sure	ADJ
cana-3493	107	8	that	that	SCONJ
cana-3493	107	9	subsequent	subsequent	ADJ
cana-3493	107	10	analysis	analysis	NOUN
cana-3493	107	11	is	be	AUX
cana-3493	107	12	based	base	VERB
cana-3493	107	13	totally	totally	ADV
cana-3493	107	14	on	on	ADP
cana-3493	107	15	extraordinary	extraordinary	ADJ
cana-3493	107	16	statistics	statistic	NOUN
cana-3493	107	17	.	.	PUNCT
cana-3493	108	1	the	the	DET
cana-3493	108	2	intuitive	intuitive	ADJ
cana-3493	108	3	layout	layout	NOUN
cana-3493	108	4	helps	help	VERB
cana-3493	108	5	testers	tester	NOUN
cana-3493	108	6	streamline	streamline	VERB
cana-3493	108	7	their	their	PRON
cana-3493	108	8	input	input	NOUN
cana-3493	108	9	even	even	ADV
cana-3493	108	10	as	as	ADP
cana-3493	108	11	reducing	reduce	VERB
cana-3493	108	12	mistakes	mistake	NOUN
cana-3493	108	13	.	.	PUNCT
cana-3493	109	1	overall	overall	ADV
cana-3493	109	2	,	,	PUNCT
cana-3493	109	3	this	this	DET
cana-3493	109	4	selection	selection	NOUN
cana-3493	109	5	units	unit	NOUN
cana-3493	109	6	the	the	DET
cana-3493	109	7	foundation	foundation	NOUN
cana-3493	109	8	for	for	ADP
cana-3493	109	9	superior	superior	ADJ
cana-3493	109	10	analytics	analytic	NOUN
cana-3493	109	11	by	by	ADP
cana-3493	109	12	means	mean	NOUN
cana-3493	109	13	of	of	ADP
cana-3493	109	14	validating	validate	VERB
cana-3493	109	15	and	and	CCONJ
cana-3493	109	16	organizing	organize	VERB
cana-3493	109	17	incoming	incoming	ADJ
cana-3493	109	18	facts	fact	NOUN
cana-3493	109	19	files	file	NOUN
cana-3493	109	20	.	.	PUNCT
cana-3493	110	1	fig	fig	NOUN
cana-3493	110	2	5	5	NUM
cana-3493	110	3	:	:	PUNCT
cana-3493	110	4	processed	process	VERB
cana-3493	110	5	test	test	NOUN
cana-3493	110	6	data	datum	NOUN
cana-3493	110	7	this	this	DET
cana-3493	110	8	figure	figure	NOUN
cana-3493	110	9	show	show	VERB
cana-3493	110	10	a	a	DET
cana-3493	110	11	processed	process	VERB
cana-3493	110	12	dataset	dataset	NOUN
cana-3493	110	13	that	that	PRON
cana-3493	110	14	includes	include	VERB
cana-3493	110	15	system	system	NOUN
cana-3493	110	16	error	error	NOUN
cana-3493	110	17	reports	report	NOUN
cana-3493	110	18	,	,	PUNCT
cana-3493	110	19	test	test	NOUN
cana-3493	110	20	cases	case	NOUN
cana-3493	110	21	,	,	PUNCT
cana-3493	110	22	and	and	CCONJ
cana-3493	110	23	results	result	NOUN
cana-3493	110	24	using	use	VERB
cana-3493	110	25	the	the	DET
cana-3493	110	26	test_case_id	test_case_id	PROPN
cana-3493	110	27	field	field	NOUN
cana-3493	110	28	.	.	PUNCT
cana-3493	111	1	the	the	DET
cana-3493	111	2	table	table	NOUN
cana-3493	111	3	highlights	highlight	NOUN
cana-3493	111	4	columns	column	NOUN
cana-3493	111	5	such	such	ADJ
cana-3493	111	6	as	as	ADP
cana-3493	111	7	severity	severity	NOUN
cana-3493	111	8	,	,	PUNCT
cana-3493	111	9	status	status	NOUN
cana-3493	111	10	,	,	PUNCT
cana-3493	111	11	and	and	CCONJ
cana-3493	111	12	blockchain	blockchain	PROPN
cana-3493	111	13	communications	communication	NOUN
cana-3493	111	14	on	on	ADP
cana-3493	111	15	applied	apply	VERB
cana-3493	111	16	nonlinear	nonlinear	ADJ
cana-3493	111	17	analysis	analysis	NOUN
cana-3493	111	18	issn	issn	NOUN
cana-3493	111	19	:	:	PUNCT
cana-3493	111	20	1074	1074	NUM
cana-3493	111	21	-	-	PUNCT
cana-3493	111	22	133x	133x	NUM
cana-3493	111	23	vol	vol	NOUN
cana-3493	111	24	32	32	NUM
cana-3493	111	25	no	no	NOUN
cana-3493	111	26	.	.	PUNCT
cana-3493	112	1	7s	7	NOUN
cana-3493	112	2	(	(	PUNCT
cana-3493	112	3	2025	2025	NUM
cana-3493	112	4	)	)	PUNCT
cana-3493	112	5	896	896	NUM
cana-3493	112	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	112	7	transaction	transaction	NOUN
cana-3493	113	1	i	i	PRON
cana-3493	113	2	d.	d.	PROPN
cana-3493	113	3	(	(	PUNCT
cana-3493	113	4	blockchain_tx_id	blockchain_tx_id	PROPN
cana-3493	113	5	)	)	PUNCT
cana-3493	113	6	which	which	PRON
cana-3493	113	7	reflects	reflect	VERB
cana-3493	113	8	the	the	DET
cana-3493	113	9	data	data	NOUN
cana-3493	113	10	transformation	transformation	NOUN
cana-3493	113	11	performed	perform	VERB
cana-3493	113	12	by	by	ADP
cana-3493	113	13	the	the	DET
cana-3493	113	14	utility	utility	NOUN
cana-3493	113	15	function	function	NOUN
cana-3493	113	16	.	.	PUNCT
cana-3493	114	1	the	the	DET
cana-3493	114	2	inclusion	inclusion	NOUN
cana-3493	114	3	of	of	ADP
cana-3493	114	4	blockchain	blockchain	PROPN
cana-3493	114	5	transaction	transaction	PROPN
cana-3493	114	6	ids	id	NOUN
cana-3493	114	7	for	for	ADP
cana-3493	114	8	each	each	DET
cana-3493	114	9	test	test	NOUN
cana-3493	114	10	case	case	NOUN
cana-3493	114	11	ensures	ensure	VERB
cana-3493	114	12	transparency	transparency	NOUN
cana-3493	114	13	.	.	PUNCT
cana-3493	115	1	unable	unable	ADJ
cana-3493	115	2	to	to	PART
cana-3493	115	3	change	change	VERB
cana-3493	115	4	format	format	NOUN
cana-3493	115	5	and	and	CCONJ
cana-3493	115	6	can	can	AUX
cana-3493	115	7	check	check	VERB
cana-3493	115	8	records	record	NOUN
cana-3493	115	9	this	this	DET
cana-3493	115	10	combined	combine	VERB
cana-3493	115	11	dataset	dataset	NOUN
cana-3493	115	12	helps	help	VERB
cana-3493	115	13	testers	tester	NOUN
cana-3493	115	14	and	and	CCONJ
cana-3493	115	15	stakeholders	stakeholder	NOUN
cana-3493	115	16	visualize	visualize	VERB
cana-3493	115	17	the	the	DET
cana-3493	115	18	relationships	relationship	NOUN
cana-3493	115	19	between	between	ADP
cana-3493	115	20	test	test	NOUN
cana-3493	115	21	case	case	NOUN
cana-3493	115	22	features	feature	NOUN
cana-3493	115	23	,	,	PUNCT
cana-3493	115	24	results	result	NOUN
cana-3493	115	25	,	,	PUNCT
cana-3493	115	26	and	and	CCONJ
cana-3493	115	27	associated	associated	ADJ
cana-3493	115	28	errors	error	NOUN
cana-3493	115	29	.	.	PUNCT
cana-3493	116	1	it	it	PRON
cana-3493	116	2	also	also	ADV
cana-3493	116	3	emphasizes	emphasize	VERB
cana-3493	116	4	the	the	DET
cana-3493	116	5	system	system	NOUN
cana-3493	116	6	's	's	PART
cana-3493	116	7	ability	ability	NOUN
cana-3493	116	8	to	to	PART
cana-3493	116	9	handle	handle	VERB
cana-3493	116	10	missing	miss	VERB
cana-3493	116	11	data	datum	NOUN
cana-3493	116	12	.	.	PUNCT
cana-3493	117	1	by	by	ADP
cana-3493	117	2	using	use	VERB
cana-3493	117	3	placeholders	placeholder	NOUN
cana-3493	117	4	such	such	ADJ
cana-3493	117	5	as	as	ADP
cana-3493	117	6	"	"	PUNCT
cana-3493	117	7	n	n	CCONJ
cana-3493	117	8	/	/	SYM
cana-3493	117	9	a	a	PRON
cana-3493	117	10	"	"	PUNCT
cana-3493	117	11	for	for	ADP
cana-3493	117	12	incomplete	incomplete	ADJ
cana-3493	117	13	entries	entry	NOUN
cana-3493	117	14	.	.	PUNCT
cana-3493	118	1	this	this	DET
cana-3493	118	2	diagram	diagram	NOUN
cana-3493	118	3	highlights	highlight	VERB
cana-3493	118	4	the	the	DET
cana-3493	118	5	application	application	NOUN
cana-3493	118	6	's	's	PART
cana-3493	118	7	main	main	ADJ
cana-3493	118	8	strength	strength	NOUN
cana-3493	118	9	:	:	PUNCT
cana-3493	118	10	converting	convert	VERB
cana-3493	118	11	fragmented	fragmented	ADJ
cana-3493	118	12	test	test	NOUN
cana-3493	118	13	data	datum	NOUN
cana-3493	118	14	into	into	ADP
cana-3493	118	15	a	a	DET
cana-3493	118	16	single	single	ADJ
cana-3493	118	17	format	format	NOUN
cana-3493	118	18	.	.	PUNCT
cana-3493	119	1	while	while	SCONJ
cana-3493	119	2	maintaining	maintain	VERB
cana-3493	119	3	data	data	NOUN
cana-3493	119	4	traceability	traceability	NOUN
cana-3493	119	5	.	.	PUNCT
cana-3493	120	1	processed	process	VERB
cana-3493	120	2	data	data	NOUN
cana-3493	120	3	tables	table	NOUN
cana-3493	120	4	are	be	AUX
cana-3493	120	5	the	the	DET
cana-3493	120	6	backbone	backbone	NOUN
cana-3493	120	7	for	for	ADP
cana-3493	120	8	creating	create	VERB
cana-3493	120	9	meaningful	meaningful	ADJ
cana-3493	120	10	insights	insight	NOUN
cana-3493	120	11	through	through	ADP
cana-3493	120	12	visualization	visualization	NOUN
cana-3493	120	13	.	.	PUNCT
cana-3493	121	1	it	it	PRON
cana-3493	121	2	also	also	ADV
cana-3493	121	3	emphasizes	emphasize	VERB
cana-3493	121	4	the	the	DET
cana-3493	121	5	strong	strong	ADJ
cana-3493	121	6	integration	integration	NOUN
cana-3493	121	7	of	of	ADP
cana-3493	121	8	blockchain	blockchain	PROPN
cana-3493	121	9	technology	technology	PROPN
cana-3493	121	10	.	.	PUNCT
cana-3493	122	1	this	this	PRON
cana-3493	122	2	will	will	AUX
cana-3493	122	3	ensure	ensure	VERB
cana-3493	122	4	that	that	SCONJ
cana-3493	122	5	all	all	DET
cana-3493	122	6	changes	change	NOUN
cana-3493	122	7	are	be	AUX
cana-3493	122	8	saved	save	VERB
cana-3493	122	9	securely	securely	ADV
cana-3493	122	10	.	.	PUNCT
cana-3493	123	1	figure	figure	VERB
cana-3493	123	2	6	6	NUM
cana-3493	123	3	:	:	PUNCT
cana-3493	123	4	test	test	NOUN
cana-3493	123	5	results	result	NOUN
cana-3493	123	6	visualization	visualization	NOUN
cana-3493	123	7	this	this	DET
cana-3493	123	8	figure	figure	NOUN
cana-3493	123	9	provides	provide	VERB
cana-3493	123	10	an	an	DET
cana-3493	123	11	overview	overview	NOUN
cana-3493	123	12	of	of	ADP
cana-3493	123	13	the	the	DET
cana-3493	123	14	system	system	NOUN
cana-3493	123	15	's	's	PART
cana-3493	123	16	visualization	visualization	NOUN
cana-3493	123	17	capabilities	capability	NOUN
cana-3493	123	18	.	.	PUNCT
cana-3493	124	1	the	the	DET
cana-3493	124	2	test	test	NOUN
cana-3493	124	3	results	result	NOUN
cana-3493	124	4	are	be	AUX
cana-3493	124	5	summarized	summarize	VERB
cana-3493	124	6	as	as	ADP
cana-3493	124	7	charts	chart	NOUN
cana-3493	124	8	or	or	CCONJ
cana-3493	124	9	plots	plot	NOUN
cana-3493	124	10	of	of	ADP
cana-3493	124	11	indicators	indicator	NOUN
cana-3493	124	12	such	such	ADJ
cana-3493	124	13	as	as	ADP
cana-3493	124	14	the	the	DET
cana-3493	124	15	distribution	distribution	NOUN
cana-3493	124	16	of	of	ADP
cana-3493	124	17	passing	pass	VERB
cana-3493	124	18	rates	rate	NOUN
cana-3493	124	19	.	.	PUNCT
cana-3493	125	1	test	test	NOUN
cana-3493	125	2	case	case	NOUN
cana-3493	125	3	concentration	concentration	NOUN
cana-3493	125	4	and	and	CCONJ
cana-3493	125	5	token	token	ADJ
cana-3493	125	6	allocation	allocation	NOUN
cana-3493	125	7	may	may	AUX
cana-3493	125	8	be	be	AUX
cana-3493	125	9	highlighted	highlight	VERB
cana-3493	125	10	.	.	PUNCT
cana-3493	126	1	visualizations	visualization	NOUN
cana-3493	126	2	provide	provide	VERB
cana-3493	126	3	a	a	DET
cana-3493	126	4	high	high	ADJ
cana-3493	126	5	-	-	PUNCT
cana-3493	126	6	level	level	NOUN
cana-3493	126	7	understanding	understanding	NOUN
cana-3493	126	8	of	of	ADP
cana-3493	126	9	test	test	NOUN
cana-3493	126	10	progress	progress	NOUN
cana-3493	126	11	and	and	CCONJ
cana-3493	126	12	areas	area	NOUN
cana-3493	126	13	of	of	ADP
cana-3493	126	14	concern	concern	NOUN
cana-3493	126	15	,	,	PUNCT
cana-3493	126	16	such	such	ADJ
cana-3493	126	17	as	as	ADP
cana-3493	126	18	clusters	cluster	NOUN
cana-3493	126	19	of	of	ADP
cana-3493	126	20	failed	fail	VERB
cana-3493	126	21	test	test	NOUN
cana-3493	126	22	cases	case	NOUN
cana-3493	126	23	.	.	PUNCT
cana-3493	127	1	taking	take	VERB
cana-3493	127	2	advantage	advantage	NOUN
cana-3493	127	3	of	of	ADP
cana-3493	127	4	python	python	NOUN
cana-3493	127	5	's	's	PART
cana-3493	127	6	visualization	visualization	NOUN
cana-3493	127	7	libraries	library	NOUN
cana-3493	127	8	(	(	PUNCT
cana-3493	127	9	matplotlib	matplotlib	PROPN
cana-3493	127	10	,	,	PUNCT
cana-3493	127	11	seaborn	seaborn	PROPN
cana-3493	127	12	)	)	PUNCT
cana-3493	127	13	,	,	PUNCT
cana-3493	127	14	the	the	DET
cana-3493	127	15	system	system	NOUN
cana-3493	127	16	creates	create	VERB
cana-3493	127	17	beautiful	beautiful	ADJ
cana-3493	127	18	and	and	CCONJ
cana-3493	127	19	informative	informative	ADJ
cana-3493	127	20	graphs	graph	NOUN
cana-3493	127	21	.	.	PUNCT
cana-3493	128	1	visualizing	visualize	VERB
cana-3493	128	2	these	these	DET
cana-3493	128	3	data	datum	NOUN
cana-3493	128	4	helps	help	VERB
cana-3493	128	5	decision	decision	NOUN
cana-3493	128	6	makers	maker	NOUN
cana-3493	128	7	identify	identify	VERB
cana-3493	128	8	trends	trend	NOUN
cana-3493	128	9	.	.	PUNCT
cana-3493	129	1	prioritize	prioritize	VERB
cana-3493	129	2	bug	bug	NOUN
cana-3493	129	3	fixes	fix	NOUN
cana-3493	129	4	and	and	CCONJ
cana-3493	129	5	assess	assess	VERB
cana-3493	129	6	the	the	DET
cana-3493	129	7	overall	overall	ADJ
cana-3493	129	8	quality	quality	NOUN
cana-3493	129	9	of	of	ADP
cana-3493	129	10	the	the	DET
cana-3493	129	11	testing	testing	NOUN
cana-3493	129	12	effort	effort	NOUN
cana-3493	129	13	.	.	PUNCT
cana-3493	130	1	this	this	DET
cana-3493	130	2	feature	feature	NOUN
cana-3493	130	3	also	also	ADV
cana-3493	130	4	helps	help	VERB
cana-3493	130	5	testers	tester	NOUN
cana-3493	130	6	quickly	quickly	ADV
cana-3493	130	7	identify	identify	VERB
cana-3493	130	8	outliers	outlier	NOUN
cana-3493	130	9	and	and	CCONJ
cana-3493	130	10	patterns	pattern	NOUN
cana-3493	130	11	within	within	ADP
cana-3493	130	12	their	their	PRON
cana-3493	130	13	datasets	dataset	NOUN
cana-3493	130	14	.	.	PUNCT
cana-3493	131	1	the	the	DET
cana-3493	131	2	clarity	clarity	NOUN
cana-3493	131	3	and	and	CCONJ
cana-3493	131	4	accuracy	accuracy	NOUN
cana-3493	131	5	of	of	ADP
cana-3493	131	6	the	the	DET
cana-3493	131	7	charts	chart	NOUN
cana-3493	131	8	make	make	VERB
cana-3493	131	9	them	they	PRON
cana-3493	131	10	accessible	accessible	ADJ
cana-3493	131	11	to	to	ADP
cana-3493	131	12	both	both	CCONJ
cana-3493	131	13	technical	technical	ADJ
cana-3493	131	14	and	and	CCONJ
cana-3493	131	15	non	non	ADJ
cana-3493	131	16	-	-	ADJ
cana-3493	131	17	technical	technical	ADJ
cana-3493	131	18	stakeholders	stakeholder	NOUN
cana-3493	131	19	.	.	PUNCT
cana-3493	132	1	it	it	PRON
cana-3493	132	2	emphasizes	emphasize	VERB
cana-3493	132	3	the	the	DET
cana-3493	132	4	importance	importance	NOUN
cana-3493	132	5	of	of	ADP
cana-3493	132	6	effective	effective	ADJ
cana-3493	132	7	communication	communication	NOUN
cana-3493	132	8	in	in	ADP
cana-3493	132	9	monitoring	monitor	VERB
cana-3493	132	10	work	work	NOUN
cana-3493	132	11	processes	process	NOUN
cana-3493	132	12	.	.	PUNCT
cana-3493	133	1	it	it	PRON
cana-3493	133	2	turns	turn	VERB
cana-3493	133	3	raw	raw	ADJ
cana-3493	133	4	numbers	number	NOUN
cana-3493	133	5	into	into	ADP
cana-3493	133	6	actionable	actionable	ADJ
cana-3493	133	7	insights	insight	NOUN
cana-3493	133	8	.	.	PUNCT
cana-3493	134	1	overall	overall	ADV
cana-3493	134	2	,	,	PUNCT
cana-3493	134	3	this	this	DET
cana-3493	134	4	visualization	visualization	NOUN
cana-3493	134	5	serves	serve	VERB
cana-3493	134	6	as	as	ADP
cana-3493	134	7	a	a	DET
cana-3493	134	8	snapshot	snapshot	NOUN
cana-3493	134	9	of	of	ADP
cana-3493	134	10	the	the	DET
cana-3493	134	11	trial	trial	NOUN
cana-3493	134	12	's	's	PART
cana-3493	134	13	health	health	NOUN
cana-3493	134	14	for	for	SCONJ
cana-3493	134	15	stakeholders	stakeholder	NOUN
cana-3493	134	16	to	to	PART
cana-3493	134	17	evaluate	evaluate	VERB
cana-3493	134	18	.	.	PUNCT
cana-3493	135	1	fig	fig	NOUN
cana-3493	135	2	7	7	NUM
cana-3493	135	3	:	:	PUNCT
cana-3493	135	4	pass	pass	VERB
cana-3493	135	5	rate	rate	NOUN
cana-3493	135	6	for	for	ADP
cana-3493	135	7	all	all	DET
cana-3493	135	8	test	test	NOUN
cana-3493	135	9	cases	case	NOUN
cana-3493	135	10	communications	communication	NOUN
cana-3493	135	11	on	on	ADP
cana-3493	135	12	applied	apply	VERB
cana-3493	135	13	nonlinear	nonlinear	ADJ
cana-3493	135	14	analysis	analysis	NOUN
cana-3493	135	15	issn	issn	NOUN
cana-3493	135	16	:	:	PUNCT
cana-3493	135	17	1074	1074	NUM
cana-3493	135	18	-	-	PUNCT
cana-3493	135	19	133x	133x	NUM
cana-3493	135	20	vol	vol	NOUN
cana-3493	135	21	32	32	NUM
cana-3493	136	1	no	no	NOUN
cana-3493	136	2	.	.	PUNCT
cana-3493	137	1	7s	7	NOUN
cana-3493	137	2	(	(	PUNCT
cana-3493	137	3	2025	2025	NUM
cana-3493	137	4	)	)	PUNCT
cana-3493	137	5	897	897	NUM
cana-3493	138	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	139	1	this	this	DET
cana-3493	139	2	bar	bar	NOUN
cana-3493	139	3	graph	graph	NOUN
cana-3493	139	4	shows	show	VERB
cana-3493	139	5	the	the	DET
cana-3493	139	6	pass	pass	NOUN
cana-3493	139	7	rate	rate	NOUN
cana-3493	139	8	for	for	ADP
cana-3493	139	9	each	each	DET
cana-3493	139	10	test	test	NOUN
cana-3493	139	11	case	case	NOUN
cana-3493	139	12	.	.	PUNCT
cana-3493	140	1	it	it	PRON
cana-3493	140	2	breaks	break	VERB
cana-3493	140	3	down	down	ADP
cana-3493	140	4	test	test	NOUN
cana-3493	140	5	performance	performance	NOUN
cana-3493	140	6	.	.	PUNCT
cana-3493	141	1	the	the	DET
cana-3493	141	2	x	x	ADJ
cana-3493	141	3	-	-	ADJ
cana-3493	141	4	axis	axis	ADJ
cana-3493	141	5	lists	list	NOUN
cana-3493	141	6	each	each	DET
cana-3493	141	7	test	test	NOUN
cana-3493	141	8	case	case	NOUN
cana-3493	141	9	i	i	PROPN
cana-3493	141	10	d	d	PROPN
cana-3493	141	11	,	,	PUNCT
cana-3493	141	12	while	while	SCONJ
cana-3493	141	13	the	the	DET
cana-3493	141	14	y	y	NOUN
cana-3493	141	15	-	-	PUNCT
cana-3493	141	16	axis	axis	NOUN
cana-3493	141	17	represents	represent	VERB
cana-3493	141	18	the	the	DET
cana-3493	141	19	percentage	percentage	NOUN
cana-3493	141	20	pass	pass	NOUN
cana-3493	141	21	rate	rate	NOUN
cana-3493	141	22	.	.	PUNCT
cana-3493	142	1	the	the	DET
cana-3493	142	2	different	different	ADJ
cana-3493	142	3	heights	height	NOUN
cana-3493	142	4	of	of	ADP
cana-3493	142	5	the	the	DET
cana-3493	142	6	bars	bar	NOUN
cana-3493	142	7	show	show	VERB
cana-3493	142	8	the	the	DET
cana-3493	142	9	distribution	distribution	NOUN
cana-3493	142	10	of	of	ADP
cana-3493	142	11	test	test	NOUN
cana-3493	142	12	success	success	NOUN
cana-3493	142	13	.	.	PUNCT
cana-3493	143	1	this	this	PRON
cana-3493	143	2	indicates	indicate	VERB
cana-3493	143	3	cases	case	NOUN
cana-3493	143	4	where	where	SCONJ
cana-3493	143	5	it	it	PRON
cana-3493	143	6	performs	perform	VERB
cana-3493	143	7	particularly	particularly	ADV
cana-3493	143	8	well	well	ADV
cana-3493	143	9	or	or	CCONJ
cana-3493	143	10	particularly	particularly	ADV
cana-3493	143	11	poorly	poorly	ADV
cana-3493	143	12	.	.	PUNCT
cana-3493	144	1	this	this	DET
cana-3493	144	2	visualization	visualization	NOUN
cana-3493	144	3	is	be	AUX
cana-3493	144	4	critical	critical	ADJ
cana-3493	144	5	in	in	ADP
cana-3493	144	6	identifying	identify	VERB
cana-3493	144	7	unstable	unstable	ADJ
cana-3493	144	8	areas	area	NOUN
cana-3493	144	9	within	within	ADP
cana-3493	144	10	the	the	DET
cana-3493	144	11	system	system	NOUN
cana-3493	144	12	where	where	SCONJ
cana-3493	144	13	test	test	NOUN
cana-3493	144	14	cases	case	NOUN
cana-3493	144	15	continually	continually	ADV
cana-3493	144	16	fail	fail	VERB
cana-3493	144	17	.	.	PUNCT
cana-3493	145	1	patterns	pattern	NOUN
cana-3493	145	2	such	such	ADJ
cana-3493	145	3	as	as	ADP
cana-3493	145	4	clusters	cluster	NOUN
cana-3493	145	5	of	of	ADP
cana-3493	145	6	low	low	ADJ
cana-3493	145	7	pass	pass	NOUN
cana-3493	145	8	rates	rate	NOUN
cana-3493	145	9	may	may	AUX
cana-3493	145	10	indicate	indicate	VERB
cana-3493	145	11	a	a	DET
cana-3493	145	12	system	system	NOUN
cana-3493	145	13	issue	issue	NOUN
cana-3493	145	14	or	or	CCONJ
cana-3493	145	15	a	a	DET
cana-3493	145	16	poorly	poorly	ADV
cana-3493	145	17	designed	design	VERB
cana-3493	145	18	test	test	NOUN
cana-3493	145	19	case	case	NOUN
cana-3493	145	20	.	.	PUNCT
cana-3493	146	1	conversely	conversely	ADV
cana-3493	146	2	,	,	PUNCT
cana-3493	146	3	consistently	consistently	ADV
cana-3493	146	4	high	high	ADJ
cana-3493	146	5	pass	pass	NOUN
cana-3493	146	6	rates	rate	NOUN
cana-3493	146	7	can	can	AUX
cana-3493	146	8	verify	verify	VERB
cana-3493	146	9	the	the	DET
cana-3493	146	10	robustness	robustness	NOUN
cana-3493	146	11	of	of	ADP
cana-3493	146	12	a	a	DET
cana-3493	146	13	particular	particular	ADJ
cana-3493	146	14	component	component	NOUN
cana-3493	146	15	.	.	PUNCT
cana-3493	147	1	analyzing	analyze	VERB
cana-3493	147	2	this	this	DET
cana-3493	147	3	data	data	NOUN
cana-3493	147	4	helps	help	VERB
cana-3493	147	5	testers	tester	NOUN
cana-3493	147	6	focus	focus	VERB
cana-3493	147	7	on	on	ADP
cana-3493	147	8	improving	improve	VERB
cana-3493	147	9	weak	weak	ADJ
cana-3493	147	10	points	point	NOUN
cana-3493	147	11	while	while	SCONJ
cana-3493	147	12	maintaining	maintain	VERB
cana-3493	147	13	the	the	DET
cana-3493	147	14	strengths	strength	NOUN
cana-3493	147	15	of	of	ADP
cana-3493	147	16	successful	successful	ADJ
cana-3493	147	17	test	test	NOUN
cana-3493	147	18	cases	case	NOUN
cana-3493	147	19	.	.	PUNCT
cana-3493	148	1	graphs	graph	NOUN
cana-3493	148	2	serve	serve	VERB
cana-3493	148	3	as	as	ADP
cana-3493	148	4	an	an	DET
cana-3493	148	5	excellent	excellent	ADJ
cana-3493	148	6	diagnostic	diagnostic	ADJ
cana-3493	148	7	tool	tool	NOUN
cana-3493	148	8	for	for	ADP
cana-3493	148	9	prioritizing	prioritize	VERB
cana-3493	148	10	debugging	debugging	NOUN
cana-3493	148	11	efforts	effort	NOUN
cana-3493	148	12	.	.	PUNCT
cana-3493	149	1	it	it	PRON
cana-3493	149	2	also	also	ADV
cana-3493	149	3	reflects	reflect	VERB
cana-3493	149	4	the	the	DET
cana-3493	149	5	effectiveness	effectiveness	NOUN
cana-3493	149	6	of	of	ADP
cana-3493	149	7	the	the	DET
cana-3493	149	8	testing	testing	NOUN
cana-3493	149	9	process	process	NOUN
cana-3493	149	10	.	.	PUNCT
cana-3493	150	1	this	this	PRON
cana-3493	150	2	makes	make	VERB
cana-3493	150	3	it	it	PRON
cana-3493	150	4	a	a	DET
cana-3493	150	5	valuable	valuable	ADJ
cana-3493	150	6	reference	reference	NOUN
cana-3493	150	7	for	for	ADP
cana-3493	150	8	project	project	NOUN
cana-3493	150	9	review	review	NOUN
cana-3493	150	10	.	.	PUNCT
cana-3493	151	1	fig	fig	NOUN
cana-3493	151	2	8	8	NUM
cana-3493	151	3	:	:	PUNCT
cana-3493	151	4	average	average	ADJ
cana-3493	151	5	pass	pass	NOUN
cana-3493	151	6	rate	rate	NOUN
cana-3493	151	7	per	per	ADP
cana-3493	151	8	severity	severity	NOUN
cana-3493	151	9	this	this	DET
cana-3493	151	10	figure	figure	NOUN
cana-3493	151	11	breaks	break	VERB
cana-3493	151	12	down	down	ADP
cana-3493	151	13	the	the	DET
cana-3493	151	14	average	average	ADJ
cana-3493	151	15	overshoot	overshoot	NOUN
cana-3493	151	16	rate	rate	NOUN
cana-3493	151	17	according	accord	VERB
cana-3493	151	18	to	to	ADP
cana-3493	151	19	dust	dust	NOUN
cana-3493	151	20	depth	depth	NOUN
cana-3493	151	21	.	.	PUNCT
cana-3493	152	1	to	to	PART
cana-3493	152	2	provide	provide	VERB
cana-3493	152	3	insight	insight	NOUN
cana-3493	152	4	into	into	ADP
cana-3493	152	5	how	how	SCONJ
cana-3493	152	6	depth	depth	NOUN
cana-3493	152	7	affects	affect	VERB
cana-3493	152	8	test	test	NOUN
cana-3493	152	9	results	result	NOUN
cana-3493	152	10	,	,	PUNCT
cana-3493	152	11	the	the	PRON
cana-3493	152	12	x	x	ADJ
cana-3493	152	13	-	-	ADJ
cana-3493	152	14	axis	axis	NOUN
cana-3493	152	15	categorizes	categorize	VERB
cana-3493	152	16	defects	defect	NOUN
cana-3493	152	17	by	by	ADP
cana-3493	152	18	severity	severity	NOUN
cana-3493	152	19	(	(	PUNCT
cana-3493	152	20	e.g.	e.g.	ADV
cana-3493	152	21	,	,	PUNCT
cana-3493	152	22	"	"	PUNCT
cana-3493	152	23	low	low	ADJ
cana-3493	152	24	,	,	PUNCT
cana-3493	152	25	"	"	PUNCT
cana-3493	152	26	"	"	PUNCT
cana-3493	152	27	medium	medium	ADJ
cana-3493	152	28	,	,	PUNCT
cana-3493	152	29	"	"	PUNCT
cana-3493	152	30	"	"	PUNCT
cana-3493	152	31	high	high	ADJ
cana-3493	152	32	"	"	PUNCT
cana-3493	152	33	)	)	PUNCT
cana-3493	152	34	,	,	PUNCT
cana-3493	152	35	while	while	SCONJ
cana-3493	152	36	the	the	DET
cana-3493	152	37	y	y	NOUN
cana-3493	152	38	-	-	PUNCT
cana-3493	152	39	axis	axis	NOUN
cana-3493	152	40	displays	display	NOUN
cana-3493	152	41	average	average	ADJ
cana-3493	152	42	throughput	throughput	NOUN
cana-3493	152	43	rates	rate	NOUN
cana-3493	152	44	.	.	PUNCT
cana-3493	153	1	corresponding	correspond	VERB
cana-3493	153	2	a	a	DET
cana-3493	153	3	low	low	ADJ
cana-3493	153	4	conversion	conversion	NOUN
cana-3493	153	5	rate	rate	NOUN
cana-3493	153	6	in	in	ADP
cana-3493	153	7	the	the	DET
cana-3493	153	8	most	most	ADV
cana-3493	153	9	severe	severe	ADJ
cana-3493	153	10	group	group	NOUN
cana-3493	153	11	may	may	AUX
cana-3493	153	12	indicate	indicate	VERB
cana-3493	153	13	a	a	DET
cana-3493	153	14	serious	serious	ADJ
cana-3493	153	15	systemic	systemic	ADJ
cana-3493	153	16	problem	problem	NOUN
cana-3493	153	17	that	that	PRON
cana-3493	153	18	requires	require	VERB
cana-3493	153	19	immediate	immediate	ADJ
cana-3493	153	20	attention	attention	NOUN
cana-3493	153	21	.	.	PUNCT
cana-3493	154	1	conversely	conversely	ADV
cana-3493	154	2	,	,	PUNCT
cana-3493	154	3	the	the	PRON
cana-3493	154	4	more	more	ADV
cana-3493	154	5	severe	severe	ADJ
cana-3493	154	6	the	the	DET
cana-3493	154	7	increase	increase	NOUN
cana-3493	154	8	in	in	ADP
cana-3493	154	9	passing	pass	VERB
cana-3493	154	10	rate	rate	NOUN
cana-3493	154	11	,	,	PUNCT
cana-3493	154	12	this	this	PRON
cana-3493	154	13	indicates	indicate	VERB
cana-3493	154	14	better	well	ADJ
cana-3493	154	15	management	management	NOUN
cana-3493	154	16	of	of	ADP
cana-3493	154	17	small	small	ADJ
cana-3493	154	18	issues	issue	NOUN
cana-3493	154	19	.	.	PUNCT
cana-3493	155	1	this	this	DET
cana-3493	155	2	visualization	visualization	NOUN
cana-3493	155	3	helps	help	VERB
cana-3493	155	4	the	the	DET
cana-3493	155	5	team	team	NOUN
cana-3493	155	6	evaluate	evaluate	VERB
cana-3493	155	7	the	the	DET
cana-3493	155	8	trade	trade	NOUN
cana-3493	155	9	-	-	PUNCT
cana-3493	155	10	offs	off	NOUN
cana-3493	155	11	between	between	ADP
cana-3493	155	12	bug	bug	NOUN
cana-3493	155	13	severity	severity	NOUN
cana-3493	155	14	and	and	CCONJ
cana-3493	155	15	test	test	NOUN
cana-3493	155	16	quality	quality	NOUN
cana-3493	155	17	.	.	PUNCT
cana-3493	156	1	it	it	PRON
cana-3493	156	2	also	also	ADV
cana-3493	156	3	manages	manage	VERB
cana-3493	156	4	resource	resource	NOUN
cana-3493	156	5	allocation	allocation	NOUN
cana-3493	156	6	.	.	PUNCT
cana-3493	157	1	this	this	PRON
cana-3493	157	2	ensures	ensure	VERB
cana-3493	157	3	that	that	SCONJ
cana-3493	157	4	difficult	difficult	ADJ
cana-3493	157	5	bugs	bug	NOUN
cana-3493	157	6	are	be	AUX
cana-3493	157	7	fixed	fix	VERB
cana-3493	157	8	first	first	ADV
cana-3493	157	9	.	.	PUNCT
cana-3493	158	1	the	the	DET
cana-3493	158	2	table	table	NOUN
cana-3493	158	3	highlights	highlight	VERB
cana-3493	158	4	the	the	DET
cana-3493	158	5	importance	importance	NOUN
cana-3493	158	6	of	of	ADP
cana-3493	158	7	prioritizing	prioritize	VERB
cana-3493	158	8	depth	depth	NOUN
cana-3493	158	9	in	in	ADP
cana-3493	158	10	software	software	NOUN
cana-3493	158	11	testing	testing	NOUN
cana-3493	158	12	.	.	PUNCT
cana-3493	159	1	it	it	PRON
cana-3493	159	2	allows	allow	VERB
cana-3493	159	3	craftsmen	craftsman	NOUN
cana-3493	159	4	to	to	PART
cana-3493	159	5	assess	assess	VERB
cana-3493	159	6	the	the	DET
cana-3493	159	7	reliability	reliability	NOUN
cana-3493	159	8	and	and	CCONJ
cana-3493	159	9	resilience	resilience	NOUN
cana-3493	159	10	of	of	ADP
cana-3493	159	11	their	their	PRON
cana-3493	159	12	systems	system	NOUN
cana-3493	159	13	against	against	ADP
cana-3493	159	14	harmful	harmful	ADJ
cana-3493	159	15	insects	insect	NOUN
cana-3493	159	16	.	.	PUNCT
cana-3493	160	1	such	such	ADJ
cana-3493	160	2	insights	insight	NOUN
cana-3493	160	3	lead	lead	VERB
cana-3493	160	4	to	to	ADP
cana-3493	160	5	better	well	ADJ
cana-3493	160	6	decisions	decision	NOUN
cana-3493	160	7	.	.	PUNCT
cana-3493	161	1	this	this	PRON
cana-3493	161	2	ultimately	ultimately	ADV
cana-3493	161	3	leads	lead	VERB
cana-3493	161	4	to	to	ADP
cana-3493	161	5	better	well	ADJ
cana-3493	161	6	program	program	NOUN
cana-3493	161	7	quality	quality	NOUN
cana-3493	161	8	and	and	CCONJ
cana-3493	161	9	user	user	NOUN
cana-3493	161	10	satisfaction	satisfaction	NOUN
cana-3493	161	11	.	.	PUNCT
cana-3493	162	1	fig	fig	NOUN
cana-3493	162	2	9	9	NUM
cana-3493	162	3	:	:	PUNCT
cana-3493	162	4	total	total	ADJ
cana-3493	162	5	tokens	token	NOUN
cana-3493	162	6	issue	issue	NOUN
cana-3493	162	7	by	by	ADP
cana-3493	162	8	serverity	serverity	NOUN
cana-3493	162	9	this	this	DET
cana-3493	162	10	figure	figure	NOUN
cana-3493	162	11	shows	show	VERB
cana-3493	162	12	the	the	DET
cana-3493	162	13	distribution	distribution	NOUN
cana-3493	162	14	of	of	ADP
cana-3493	162	15	blockchain	blockchain	PROPN
cana-3493	162	16	tokens	token	NOUN
cana-3493	162	17	for	for	ADP
cana-3493	162	18	different	different	ADJ
cana-3493	162	19	fault	fault	NOUN
cana-3493	162	20	severity	severity	NOUN
cana-3493	162	21	levels	level	NOUN
cana-3493	162	22	.	.	PUNCT
cana-3493	163	1	the	the	PRON
cana-3493	163	2	x	x	X
cana-3493	163	3	-	-	ADJ
cana-3493	163	4	axis	axis	NOUN
cana-3493	163	5	represents	represent	VERB
cana-3493	163	6	crime	crime	NOUN
cana-3493	163	7	categories	category	NOUN
cana-3493	163	8	,	,	PUNCT
cana-3493	163	9	while	while	SCONJ
cana-3493	163	10	the	the	DET
cana-3493	163	11	y	y	NOUN
cana-3493	163	12	-	-	PUNCT
cana-3493	163	13	axis	axis	NOUN
cana-3493	163	14	represents	represent	VERB
cana-3493	163	15	the	the	DET
cana-3493	163	16	total	total	ADJ
cana-3493	163	17	number	number	NOUN
cana-3493	163	18	of	of	ADP
cana-3493	163	19	tokens	token	NOUN
cana-3493	163	20	.	.	PUNCT
cana-3493	164	1	the	the	DET
cana-3493	164	2	increased	increase	VERB
cana-3493	164	3	communications	communication	NOUN
cana-3493	164	4	on	on	ADP
cana-3493	164	5	applied	apply	VERB
cana-3493	164	6	nonlinear	nonlinear	ADJ
cana-3493	164	7	analysis	analysis	NOUN
cana-3493	164	8	issn	issn	NOUN
cana-3493	164	9	:	:	PUNCT
cana-3493	164	10	1074	1074	NUM
cana-3493	164	11	-	-	PUNCT
cana-3493	164	12	133x	133x	NUM
cana-3493	164	13	vol	vol	NOUN
cana-3493	164	14	32	32	NUM
cana-3493	164	15	no	no	NOUN
cana-3493	164	16	.	.	PUNCT
cana-3493	165	1	7s	7	NOUN
cana-3493	165	2	(	(	PUNCT
cana-3493	165	3	2025	2025	NUM
cana-3493	165	4	)	)	PUNCT
cana-3493	165	5	898	898	NUM
cana-3493	165	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	165	7	issuance	issuance	NOUN
cana-3493	165	8	of	of	ADP
cana-3493	165	9	tokens	token	NOUN
cana-3493	165	10	for	for	ADP
cana-3493	165	11	serious	serious	ADJ
cana-3493	165	12	issues	issue	NOUN
cana-3493	165	13	reflects	reflect	VERB
cana-3493	165	14	the	the	DET
cana-3493	165	15	system	system	NOUN
cana-3493	165	16	's	's	PART
cana-3493	165	17	reward	reward	NOUN
cana-3493	165	18	system	system	NOUN
cana-3493	165	19	.	.	PUNCT
cana-3493	166	1	this	this	PRON
cana-3493	166	2	encourages	encourage	VERB
cana-3493	166	3	testers	tester	NOUN
cana-3493	166	4	to	to	PART
cana-3493	166	5	solve	solve	VERB
cana-3493	166	6	the	the	DET
cana-3493	166	7	most	most	ADV
cana-3493	166	8	important	important	ADJ
cana-3493	166	9	problems	problem	NOUN
cana-3493	166	10	.	.	PUNCT
cana-3493	167	1	this	this	DET
cana-3493	167	2	approach	approach	NOUN
cana-3493	167	3	emphasizes	emphasize	VERB
cana-3493	167	4	the	the	DET
cana-3493	167	5	integration	integration	NOUN
cana-3493	167	6	of	of	ADP
cana-3493	167	7	blockchain	blockchain	PROPN
cana-3493	167	8	technology	technology	PROPN
cana-3493	167	9	for	for	ADP
cana-3493	167	10	effective	effective	ADJ
cana-3493	167	11	debugging	debugging	NOUN
cana-3493	167	12	.	.	PUNCT
cana-3493	168	1	it	it	PRON
cana-3493	168	2	also	also	ADV
cana-3493	168	3	has	have	VERB
cana-3493	168	4	a	a	DET
cana-3493	168	5	transparent	transparent	ADJ
cana-3493	168	6	rewards	reward	NOUN
cana-3493	168	7	structure	structure	NOUN
cana-3493	168	8	.	.	PUNCT
cana-3493	169	1	promote	promote	VERB
cana-3493	169	2	fairness	fairness	NOUN
cana-3493	169	3	and	and	CCONJ
cana-3493	169	4	motivation	motivation	NOUN
cana-3493	169	5	within	within	ADP
cana-3493	169	6	the	the	DET
cana-3493	169	7	probation	probation	NOUN
cana-3493	169	8	team	team	NOUN
cana-3493	169	9	.	.	PUNCT
cana-3493	170	1	the	the	DET
cana-3493	170	2	graph	graph	NOUN
cana-3493	170	3	helps	help	VERB
cana-3493	170	4	designers	designer	NOUN
cana-3493	170	5	evaluate	evaluate	VERB
cana-3493	170	6	whether	whether	SCONJ
cana-3493	170	7	signal	signal	ADJ
cana-3493	170	8	distribution	distribution	NOUN
cana-3493	170	9	aligns	align	VERB
cana-3493	170	10	with	with	ADP
cana-3493	170	11	project	project	NOUN
cana-3493	170	12	priorities	priority	NOUN
cana-3493	170	13	.	.	PUNCT
cana-3493	171	1	it	it	PRON
cana-3493	171	2	also	also	ADV
cana-3493	171	3	demonstrates	demonstrate	VERB
cana-3493	171	4	the	the	DET
cana-3493	171	5	tool	tool	NOUN
cana-3493	171	6	's	's	PART
cana-3493	171	7	ability	ability	NOUN
cana-3493	171	8	to	to	PART
cana-3493	171	9	combine	combine	VERB
cana-3493	171	10	performance	performance	NOUN
cana-3493	171	11	indicators	indicator	NOUN
cana-3493	171	12	with	with	ADP
cana-3493	171	13	token	token	ADJ
cana-3493	171	14	rewards	reward	NOUN
cana-3493	171	15	.	.	PUNCT
cana-3493	172	1	this	this	DET
cana-3493	172	2	visibility	visibility	NOUN
cana-3493	172	3	promotes	promote	VERB
cana-3493	172	4	accountability	accountability	NOUN
cana-3493	172	5	by	by	ADP
cana-3493	172	6	linking	link	VERB
cana-3493	172	7	rewards	reward	NOUN
cana-3493	172	8	to	to	ADP
cana-3493	172	9	measurable	measurable	ADJ
cana-3493	172	10	results	result	NOUN
cana-3493	172	11	.	.	PUNCT
cana-3493	173	1	it	it	PRON
cana-3493	173	2	's	be	AUX
cana-3493	173	3	a	a	DET
cana-3493	173	4	powerful	powerful	ADJ
cana-3493	173	5	example	example	NOUN
cana-3493	173	6	of	of	ADP
cana-3493	173	7	how	how	SCONJ
cana-3493	173	8	blockchain	blockchain	PROPN
cana-3493	173	9	technology	technology	NOUN
cana-3493	173	10	can	can	AUX
cana-3493	173	11	improve	improve	VERB
cana-3493	173	12	traditional	traditional	ADJ
cana-3493	173	13	operations	operation	NOUN
cana-3493	173	14	.	.	PUNCT
cana-3493	174	1	fig	fig	NOUN
cana-3493	174	2	10	10	NUM
cana-3493	174	3	:	:	PUNCT
cana-3493	174	4	status	status	NOUN
cana-3493	174	5	of	of	ADP
cana-3493	174	6	pass	pass	NOUN
cana-3493	174	7	rate	rate	NOUN
cana-3493	174	8	this	this	DET
cana-3493	174	9	bar	bar	NOUN
cana-3493	174	10	graph	graph	NOUN
cana-3493	174	11	categorizes	categorize	VERB
cana-3493	174	12	average	average	ADJ
cana-3493	174	13	bypass	bypass	NOUN
cana-3493	174	14	charges	charge	NOUN
cana-3493	174	15	via	via	ADP
cana-3493	174	16	check	check	NOUN
cana-3493	174	17	case	case	NOUN
cana-3493	174	18	statuses	status	NOUN
cana-3493	174	19	,	,	PUNCT
cana-3493	174	20	such	such	ADJ
cana-3493	174	21	as	as	ADP
cana-3493	174	22	"	"	PUNCT
cana-3493	174	23	completed	complete	VERB
cana-3493	174	24	"	"	PUNCT
cana-3493	174	25	or	or	CCONJ
cana-3493	174	26	"	"	PUNCT
cana-3493	174	27	in	in	ADP
cana-3493	174	28	-	-	PUNCT
cana-3493	174	29	progress	progress	NOUN
cana-3493	174	30	"	"	PUNCT
cana-3493	174	31	.	.	PUNCT
cana-3493	175	1	the	the	DET
cana-3493	175	2	x	x	ADJ
cana-3493	175	3	-	-	ADJ
cana-3493	175	4	axis	axis	ADJ
cana-3493	175	5	displays	display	NOUN
cana-3493	175	6	statuses	status	NOUN
cana-3493	175	7	,	,	PUNCT
cana-3493	175	8	whilst	whilst	SCONJ
cana-3493	175	9	the	the	DET
cana-3493	175	10	y	y	NOUN
cana-3493	175	11	-	-	PUNCT
cana-3493	175	12	axis	axis	NOUN
cana-3493	175	13	suggests	suggest	VERB
cana-3493	175	14	common	common	ADJ
cana-3493	175	15	skip	skip	ADJ
cana-3493	175	16	costs	cost	NOUN
cana-3493	175	17	.	.	PUNCT
cana-3493	176	1	variations	variation	NOUN
cana-3493	176	2	in	in	ADP
cana-3493	176	3	bar	bar	NOUN
cana-3493	176	4	heights	height	NOUN
cana-3493	176	5	reveal	reveal	VERB
cana-3493	176	6	performance	performance	NOUN
cana-3493	176	7	variations	variation	NOUN
cana-3493	176	8	throughout	throughout	ADP
cana-3493	176	9	statuses	status	NOUN
cana-3493	176	10	.	.	PUNCT
cana-3493	177	1	for	for	ADP
cana-3493	177	2	example	example	NOUN
cana-3493	177	3	,	,	PUNCT
cana-3493	177	4	a	a	DET
cana-3493	177	5	decrease	decrease	NOUN
cana-3493	177	6	pass	pass	VERB
cana-3493	177	7	charge	charge	NOUN
cana-3493	177	8	for	for	ADP
cana-3493	177	9	"	"	PUNCT
cana-3493	177	10	open	open	ADJ
cana-3493	177	11	"	"	PUNCT
cana-3493	177	12	cases	case	NOUN
cana-3493	177	13	may	may	AUX
cana-3493	177	14	endorse	endorse	VERB
cana-3493	177	15	insufficient	insufficient	ADJ
cana-3493	177	16	checking	check	VERB
cana-3493	177	17	out	out	ADP
cana-3493	177	18	insurance	insurance	NOUN
cana-3493	177	19	for	for	ADP
cana-3493	177	20	unresolved	unresolved	ADJ
cana-3493	177	21	insects	insect	NOUN
cana-3493	177	22	.	.	PUNCT
cana-3493	178	1	higher	high	ADJ
cana-3493	178	2	rates	rate	NOUN
cana-3493	178	3	for	for	ADP
cana-3493	178	4	"	"	PUNCT
cana-3493	178	5	closed	closed	ADJ
cana-3493	178	6	"	"	PUNCT
cana-3493	178	7	instances	instance	NOUN
cana-3493	178	8	validate	validate	VERB
cana-3493	178	9	the	the	DET
cana-3493	178	10	efficacy	efficacy	NOUN
cana-3493	178	11	of	of	ADP
cana-3493	178	12	finished	finished	ADJ
cana-3493	178	13	exams	exam	NOUN
cana-3493	178	14	.	.	PUNCT
cana-3493	179	1	this	this	DET
cana-3493	179	2	visualization	visualization	NOUN
cana-3493	179	3	enables	enable	VERB
cana-3493	179	4	teams	team	NOUN
cana-3493	179	5	screen	screen	VERB
cana-3493	179	6	development	development	NOUN
cana-3493	179	7	and	and	CCONJ
cana-3493	179	8	identify	identify	VERB
cana-3493	179	9	bottlenecks	bottleneck	NOUN
cana-3493	179	10	within	within	ADP
cana-3493	179	11	the	the	DET
cana-3493	179	12	trying	try	VERB
cana-3493	179	13	out	out	ADP
cana-3493	179	14	lifecycle	lifecycle	NOUN
cana-3493	179	15	.	.	PUNCT
cana-3493	180	1	it	it	PRON
cana-3493	180	2	additionally	additionally	ADV
cana-3493	180	3	reflects	reflect	VERB
cana-3493	180	4	the	the	DET
cana-3493	180	5	health	health	NOUN
cana-3493	180	6	of	of	ADP
cana-3493	180	7	the	the	DET
cana-3493	180	8	checking	checking	NOUN
cana-3493	180	9	out	out	ADP
cana-3493	180	10	pipeline	pipeline	NOUN
cana-3493	180	11	,	,	PUNCT
cana-3493	180	12	highlighting	highlight	VERB
cana-3493	180	13	regions	region	NOUN
cana-3493	180	14	desiring	desire	VERB
cana-3493	180	15	development	development	NOUN
cana-3493	180	16	.	.	PUNCT
cana-3493	181	1	by	by	ADP
cana-3493	181	2	linking	link	VERB
cana-3493	181	3	pass	pass	NOUN
cana-3493	181	4	fees	fee	NOUN
cana-3493	181	5	to	to	ADP
cana-3493	181	6	statuses	status	NOUN
cana-3493	181	7	,	,	PUNCT
cana-3493	181	8	this	this	DET
cana-3493	181	9	chart	chart	NOUN
cana-3493	181	10	enables	enable	VERB
cana-3493	181	11	teams	team	NOUN
cana-3493	181	12	to	to	PART
cana-3493	181	13	make	make	VERB
cana-3493	181	14	statistics	statistic	NOUN
cana-3493	181	15	-	-	PUNCT
cana-3493	181	16	pushed	push	VERB
cana-3493	181	17	selections	selection	NOUN
cana-3493	181	18	.	.	PUNCT
cana-3493	182	1	it	it	PRON
cana-3493	182	2	emphasizes	emphasize	VERB
cana-3493	182	3	the	the	DET
cana-3493	182	4	significance	significance	NOUN
cana-3493	182	5	of	of	ADP
cana-3493	182	6	status	status	NOUN
cana-3493	182	7	tracking	track	VERB
cana-3493	182	8	in	in	ADP
cana-3493	182	9	accomplishing	accomplish	VERB
cana-3493	182	10	comprehensive	comprehensive	ADJ
cana-3493	182	11	testing	testing	NOUN
cana-3493	182	12	insurance	insurance	NOUN
cana-3493	182	13	.	.	PUNCT
cana-3493	183	1	such	such	ADJ
cana-3493	183	2	insights	insight	NOUN
cana-3493	183	3	are	be	AUX
cana-3493	183	4	critical	critical	ADJ
cana-3493	183	5	for	for	ADP
cana-3493	183	6	continuous	continuous	ADJ
cana-3493	183	7	development	development	NOUN
cana-3493	183	8	and	and	CCONJ
cana-3493	183	9	stakeholder	stakeholder	NOUN
cana-3493	183	10	transparency	transparency	NOUN
cana-3493	183	11	.	.	PUNCT
cana-3493	184	1	fig	fig	NOUN
cana-3493	184	2	11	11	NUM
cana-3493	184	3	:	:	PUNCT
cana-3493	185	1	total	total	ADJ
cana-3493	185	2	tokens	token	NOUN
cana-3493	185	3	issued	issue	VERB
cana-3493	185	4	by	by	ADP
cana-3493	185	5	test	test	NOUN
cana-3493	185	6	case	case	NOUN
cana-3493	185	7	status	status	NOUN
cana-3493	185	8	this	this	DET
cana-3493	185	9	graph	graph	NOUN
cana-3493	185	10	shows	show	VERB
cana-3493	185	11	the	the	DET
cana-3493	185	12	distribution	distribution	NOUN
cana-3493	185	13	of	of	ADP
cana-3493	185	14	tokens	token	NOUN
cana-3493	185	15	issued	issue	VERB
cana-3493	185	16	for	for	ADP
cana-3493	185	17	test	test	NOUN
cana-3493	185	18	cases	case	NOUN
cana-3493	185	19	under	under	ADP
cana-3493	185	20	various	various	ADJ
cana-3493	185	21	conditions	condition	NOUN
cana-3493	185	22	.	.	PUNCT
cana-3493	186	1	the	the	DET
cana-3493	186	2	x	x	ADJ
cana-3493	186	3	-	-	ADJ
cana-3493	186	4	axis	axis	NOUN
cana-3493	186	5	shows	show	VERB
cana-3493	186	6	statuses	status	NOUN
cana-3493	186	7	as	as	ADP
cana-3493	186	8	"	"	PUNCT
cana-3493	186	9	open	open	ADJ
cana-3493	186	10	"	"	PUNCT
cana-3493	186	11	,	,	PUNCT
cana-3493	186	12	"	"	PUNCT
cana-3493	186	13	closed	closed	ADJ
cana-3493	186	14	"	"	PUNCT
cana-3493	186	15	,	,	PUNCT
cana-3493	186	16	or	or	CCONJ
cana-3493	186	17	"	"	PUNCT
cana-3493	186	18	pending	pende	VERB
cana-3493	186	19	"	"	PUNCT
cana-3493	186	20	,	,	PUNCT
cana-3493	186	21	while	while	SCONJ
cana-3493	186	22	the	the	DET
cana-3493	186	23	y	y	NOUN
cana-3493	186	24	-	-	PUNCT
cana-3493	186	25	axis	axis	NOUN
cana-3493	186	26	shows	show	VERB
cana-3493	186	27	the	the	DET
cana-3493	186	28	total	total	ADJ
cana-3493	186	29	tokens	token	NOUN
cana-3493	186	30	allocated	allocate	VERB
cana-3493	186	31	.	.	PUNCT
cana-3493	187	1	issuing	issue	VERB
cana-3493	187	2	higher	high	ADJ
cana-3493	187	3	tokens	token	NOUN
cana-3493	187	4	for	for	ADP
cana-3493	187	5	"	"	PUNCT
cana-3493	187	6	closed	closed	ADJ
cana-3493	187	7	"	"	PUNCT
cana-3493	187	8	cases	case	NOUN
cana-3493	187	9	helps	help	VERB
cana-3493	187	10	testers	tester	NOUN
cana-3493	187	11	efficiently	efficiently	ADV
cana-3493	187	12	process	process	VERB
cana-3493	187	13	and	and	CCONJ
cana-3493	187	14	solve	solve	VERB
cana-3493	187	15	test	test	NOUN
cana-3493	187	16	cases	case	NOUN
cana-3493	187	17	.	.	PUNCT
cana-3493	188	1	conversely	conversely	ADV
cana-3493	188	2	,	,	PUNCT
cana-3493	188	3	a	a	DET
cana-3493	188	4	lower	low	ADJ
cana-3493	188	5	number	number	NOUN
cana-3493	188	6	of	of	ADP
cana-3493	188	7	tokens	token	NOUN
cana-3493	188	8	for	for	ADP
cana-3493	188	9	"	"	PUNCT
cana-3493	188	10	free	free	ADJ
cana-3493	188	11	"	"	PUNCT
cana-3493	188	12	cases	case	NOUN
cana-3493	188	13	may	may	AUX
cana-3493	188	14	reflect	reflect	VERB
cana-3493	188	15	continued	continued	ADJ
cana-3493	188	16	effort	effort	NOUN
cana-3493	188	17	.	.	PUNCT
cana-3493	189	1	because	because	SCONJ
cana-3493	189	2	there	there	PRON
cana-3493	189	3	are	be	VERB
cana-3493	189	4	communications	communication	NOUN
cana-3493	189	5	on	on	ADP
cana-3493	189	6	applied	apply	VERB
cana-3493	189	7	nonlinear	nonlinear	ADJ
cana-3493	189	8	analysis	analysis	NOUN
cana-3493	189	9	issn	issn	NOUN
cana-3493	189	10	:	:	PUNCT
cana-3493	189	11	1074	1074	NUM
cana-3493	189	12	-	-	PUNCT
cana-3493	189	13	133x	133x	NUM
cana-3493	189	14	vol	vol	NOUN
cana-3493	189	15	32	32	NUM
cana-3493	189	16	no	no	NOUN
cana-3493	189	17	.	.	PUNCT
cana-3493	190	1	7s	7	NOUN
cana-3493	190	2	(	(	PUNCT
cana-3493	190	3	2025	2025	NUM
cana-3493	190	4	)	)	PUNCT
cana-3493	190	5	899	899	NUM
cana-3493	190	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	191	1	no	no	DET
cana-3493	191	2	measurable	measurable	ADJ
cana-3493	191	3	results	result	NOUN
cana-3493	191	4	this	this	DET
cana-3493	191	5	visualization	visualization	NOUN
cana-3493	191	6	focuses	focus	VERB
cana-3493	191	7	on	on	ADP
cana-3493	191	8	using	use	VERB
cana-3493	191	9	blockchain	blockchain	PROPN
cana-3493	191	10	to	to	PART
cana-3493	191	11	create	create	VERB
cana-3493	191	12	a	a	DET
cana-3493	191	13	performance	performance	NOUN
cana-3493	191	14	-	-	PUNCT
cana-3493	191	15	driven	drive	VERB
cana-3493	191	16	reward	reward	NOUN
cana-3493	191	17	system	system	NOUN
cana-3493	191	18	.	.	PUNCT
cana-3493	192	1	it	it	PRON
cana-3493	192	2	also	also	ADV
cana-3493	192	3	helps	help	VERB
cana-3493	192	4	the	the	DET
cana-3493	192	5	team	team	NOUN
cana-3493	192	6	evaluate	evaluate	VERB
cana-3493	192	7	whether	whether	SCONJ
cana-3493	192	8	the	the	DET
cana-3493	192	9	reward	reward	NOUN
cana-3493	192	10	aligns	align	VERB
cana-3493	192	11	with	with	ADP
cana-3493	192	12	testing	testing	NOUN
cana-3493	192	13	priorities	priority	NOUN
cana-3493	192	14	.	.	PUNCT
cana-3493	193	1	the	the	DET
cana-3493	193	2	graph	graph	NOUN
cana-3493	193	3	ensures	ensure	VERB
cana-3493	193	4	transparency	transparency	NOUN
cana-3493	193	5	and	and	CCONJ
cana-3493	193	6	fairness	fairness	NOUN
cana-3493	193	7	in	in	ADP
cana-3493	193	8	the	the	DET
cana-3493	193	9	distribution	distribution	NOUN
cana-3493	193	10	of	of	ADP
cana-3493	193	11	tokens	token	NOUN
cana-3493	193	12	.	.	PUNCT
cana-3493	194	1	which	which	PRON
cana-3493	194	2	promotes	promote	VERB
cana-3493	194	3	responsibility	responsibility	NOUN
cana-3493	194	4	promote	promote	VERB
cana-3493	194	5	efficiency	efficiency	NOUN
cana-3493	194	6	and	and	CCONJ
cana-3493	194	7	collaboration	collaboration	NOUN
cana-3493	194	8	by	by	ADP
cana-3493	194	9	tying	tie	VERB
cana-3493	194	10	rewards	reward	NOUN
cana-3493	194	11	to	to	ADP
cana-3493	194	12	case	case	VERB
cana-3493	194	13	status	status	NOUN
cana-3493	194	14	.	.	PUNCT
cana-3493	195	1	this	this	DET
cana-3493	195	2	chart	chart	NOUN
cana-3493	195	3	is	be	AUX
cana-3493	195	4	a	a	DET
cana-3493	195	5	testament	testament	NOUN
cana-3493	195	6	to	to	ADP
cana-3493	195	7	the	the	DET
cana-3493	195	8	innovative	innovative	ADJ
cana-3493	195	9	integration	integration	NOUN
cana-3493	195	10	of	of	ADP
cana-3493	195	11	blockchain	blockchain	PROPN
cana-3493	195	12	technology	technology	PROPN
cana-3493	195	13	into	into	ADP
cana-3493	195	14	the	the	DET
cana-3493	195	15	software	software	NOUN
cana-3493	195	16	testing	testing	NOUN
cana-3493	195	17	process	process	NOUN
cana-3493	195	18	.	.	PUNCT
cana-3493	196	1	the	the	DET
cana-3493	196	2	outputs	output	NOUN
cana-3493	196	3	from	from	ADP
cana-3493	196	4	the	the	DET
cana-3493	196	5	cnn	cnn	PROPN
cana-3493	196	6	,	,	PUNCT
cana-3493	196	7	lstm	lstm	PROPN
cana-3493	196	8	,	,	PUNCT
cana-3493	196	9	and	and	CCONJ
cana-3493	196	10	gnn	gnn	PROPN
cana-3493	196	11	are	be	AUX
cana-3493	196	12	then	then	ADV
cana-3493	196	13	combined	combine	VERB
cana-3493	196	14	to	to	PART
cana-3493	196	15	form	form	VERB
cana-3493	196	16	a	a	DET
cana-3493	196	17	unified	unified	ADJ
cana-3493	196	18	representation	representation	NOUN
cana-3493	196	19	.	.	PUNCT
cana-3493	197	1	this	this	DET
cana-3493	197	2	fusion	fusion	NOUN
cana-3493	197	3	step	step	NOUN
cana-3493	197	4	integrates	integrate	NOUN
cana-3493	197	5	syntactic	syntactic	ADJ
cana-3493	197	6	,	,	PUNCT
cana-3493	197	7	sequential	sequential	ADJ
cana-3493	197	8	,	,	PUNCT
cana-3493	197	9	and	and	CCONJ
cana-3493	197	10	structural	structural	ADJ
cana-3493	197	11	insights	insight	NOUN
cana-3493	197	12	into	into	ADP
cana-3493	197	13	a	a	DET
cana-3493	197	14	single	single	ADJ
cana-3493	197	15	feature	feature	NOUN
cana-3493	197	16	vector	vector	NOUN
cana-3493	197	17	,	,	PUNCT
cana-3493	197	18	providing	provide	VERB
cana-3493	197	19	a	a	DET
cana-3493	197	20	holistic	holistic	ADJ
cana-3493	197	21	view	view	NOUN
cana-3493	197	22	of	of	ADP
cana-3493	197	23	the	the	DET
cana-3493	197	24	code	code	NOUN
cana-3493	197	25	's	's	PART
cana-3493	197	26	characteristics	characteristic	NOUN
cana-3493	197	27	.	.	PUNCT
cana-3493	198	1	table	table	NOUN
cana-3493	198	2	3	3	NUM
cana-3493	198	3	:	:	PUNCT
cana-3493	198	4	dataset	dataset	VERB
cana-3493	198	5	description	description	NOUN
cana-3493	198	6	and	and	CCONJ
cana-3493	198	7	results	result	VERB
cana-3493	198	8	metric	metric	ADJ
cana-3493	198	9	value	value	NOUN
cana-3493	198	10	dataset	dataset	NOUN
cana-3493	198	11	size	size	NOUN
cana-3493	198	12	50,000	50,000	NUM
cana-3493	198	13	code	code	NOUN
cana-3493	198	14	snippets	snippet	NOUN
cana-3493	198	15	training	training	NOUN
cana-3493	198	16	dataset	dataset	NOUN
cana-3493	198	17	(	(	PUNCT
cana-3493	198	18	80	80	NUM
cana-3493	198	19	%	%	NOUN
cana-3493	198	20	)	)	PUNCT
cana-3493	198	21	40,000	40,000	NUM
cana-3493	198	22	snippets	snippet	NOUN
cana-3493	198	23	test	test	NOUN
cana-3493	198	24	dataset	dataset	NOUN
cana-3493	198	25	(	(	PUNCT
cana-3493	198	26	20	20	NUM
cana-3493	198	27	%	%	NOUN
cana-3493	198	28	)	)	PUNCT
cana-3493	198	29	10,000	10,000	NUM
cana-3493	198	30	snippets	snippet	NOUN
cana-3493	198	31	detected	detect	VERB
cana-3493	198	32	vulnerabilities	vulnerability	NOUN
cana-3493	198	33	8,200	8,200	NUM
cana-3493	198	34	true	true	ADJ
cana-3493	198	35	positives	positive	NOUN
cana-3493	198	36	(	(	PUNCT
cana-3493	198	37	tp	tp	NOUN
cana-3493	198	38	)	)	PUNCT
cana-3493	198	39	7,800	7,800	NUM
cana-3493	198	40	false	false	ADJ
cana-3493	198	41	positives	positive	NOUN
cana-3493	198	42	(	(	PUNCT
cana-3493	198	43	fp	fp	X
cana-3493	198	44	)	)	PUNCT
cana-3493	198	45	400	400	NUM
cana-3493	198	46	true	true	ADJ
cana-3493	198	47	negatives	negative	NOUN
cana-3493	198	48	(	(	PUNCT
cana-3493	198	49	tn	tn	NOUN
cana-3493	198	50	)	)	PUNCT
cana-3493	198	51	1,600	1,600	NUM
cana-3493	198	52	false	false	ADJ
cana-3493	198	53	negatives	negative	NOUN
cana-3493	198	54	(	(	PUNCT
cana-3493	198	55	fn	fn	NOUN
cana-3493	198	56	)	)	PUNCT
cana-3493	198	57	200	200	NUM
cana-3493	198	58	precision	precision	NOUN
cana-3493	198	59	95	95	NUM
cana-3493	198	60	%	%	NOUN
cana-3493	198	61	recall	recall	VERB
cana-3493	198	62	97.5	97.5	NUM
cana-3493	198	63	%	%	NOUN
cana-3493	198	64	f1	f1	NOUN
cana-3493	198	65	-	-	PUNCT
cana-3493	198	66	score	score	NOUN
cana-3493	198	67	96.25	96.25	NUM
cana-3493	198	68	%	%	NOUN
cana-3493	198	69	average	average	ADJ
cana-3493	198	70	response	response	NOUN
cana-3493	198	71	time	time	NOUN
cana-3493	198	72	2.3	2.3	NUM
cana-3493	198	73	seconds	second	NOUN
cana-3493	198	74	vulnerability	vulnerability	NOUN
cana-3493	198	75	categories	category	NOUN
cana-3493	198	76	detected	detect	VERB
cana-3493	198	77	sql	sql	NOUN
cana-3493	198	78	injection	injection	NOUN
cana-3493	198	79	,	,	PUNCT
cana-3493	198	80	xss	xss	NOUN
cana-3493	198	81	,	,	PUNCT
cana-3493	198	82	buffer	buffer	NOUN
cana-3493	198	83	overflow	overflow	NOUN
cana-3493	198	84	,	,	PUNCT
cana-3493	198	85	path	path	NOUN
cana-3493	198	86	traversal	traversal	NOUN
cana-3493	198	87	vulnerability	vulnerability	NOUN
cana-3493	198	88	severity	severity	NOUN
cana-3493	198	89	accuracy	accuracy	NOUN
cana-3493	198	90	92	92	NUM
cana-3493	198	91	%	%	NOUN
cana-3493	198	92	developer	developer	NOUN
cana-3493	198	93	acceptance	acceptance	NOUN
cana-3493	198	94	rate	rate	NOUN
cana-3493	198	95	(	(	PUNCT
cana-3493	198	96	survey	survey	NOUN
cana-3493	198	97	)	)	PUNCT
cana-3493	198	98	88	88	NUM
cana-3493	198	99	%	%	NOUN
cana-3493	198	100	ai	ai	NOUN
cana-3493	198	101	-	-	PUNCT
cana-3493	198	102	driven	drive	VERB
cana-3493	198	103	framework	framework	NOUN
cana-3493	198	104	that	that	PRON
cana-3493	198	105	leverages	leverage	VERB
cana-3493	198	106	advanced	advanced	ADJ
cana-3493	198	107	deep	deep	ADJ
cana-3493	198	108	learning	learning	NOUN
cana-3493	198	109	techniques	technique	NOUN
cana-3493	198	110	,	,	PUNCT
cana-3493	198	111	including	include	VERB
cana-3493	198	112	cnns	cnns	PROPN
cana-3493	198	113	,	,	PUNCT
cana-3493	198	114	lstms	lstms	ADJ
cana-3493	198	115	,	,	PUNCT
cana-3493	198	116	and	and	CCONJ
cana-3493	198	117	graph	graph	VERB
cana-3493	198	118	neural	neural	ADJ
cana-3493	198	119	networks	network	NOUN
cana-3493	198	120	(	(	PUNCT
cana-3493	198	121	gnns	gnns	NOUN
cana-3493	198	122	)	)	PUNCT
cana-3493	198	123	.	.	PUNCT
cana-3493	199	1	by	by	ADP
cana-3493	199	2	combining	combine	VERB
cana-3493	199	3	these	these	DET
cana-3493	199	4	methodologies	methodology	NOUN
cana-3493	199	5	with	with	ADP
cana-3493	199	6	code	code	NOUN
cana-3493	199	7	embeddings	embedding	NOUN
cana-3493	199	8	and	and	CCONJ
cana-3493	199	9	abstract	abstract	ADJ
cana-3493	199	10	syntax	syntax	NOUN
cana-3493	199	11	tree	tree	NOUN
cana-3493	199	12	(	(	PUNCT
cana-3493	199	13	ast	ast	NOUN
cana-3493	199	14	)	)	PUNCT
cana-3493	199	15	representations	representation	NOUN
cana-3493	199	16	,	,	PUNCT
cana-3493	199	17	the	the	DET
cana-3493	199	18	framework	framework	NOUN
cana-3493	199	19	is	be	AUX
cana-3493	199	20	designed	design	VERB
cana-3493	199	21	to	to	PART
cana-3493	199	22	capture	capture	VERB
cana-3493	199	23	both	both	CCONJ
cana-3493	199	24	the	the	DET
cana-3493	199	25	syntactic	syntactic	ADJ
cana-3493	199	26	and	and	CCONJ
cana-3493	199	27	semantic	semantic	ADJ
cana-3493	199	28	nuances	nuance	NOUN
cana-3493	199	29	of	of	ADP
cana-3493	199	30	source	source	NOUN
cana-3493	199	31	code	code	NOUN
cana-3493	199	32	.	.	PUNCT
cana-3493	200	1	this	this	DET
cana-3493	200	2	approach	approach	NOUN
cana-3493	200	3	ensures	ensure	VERB
cana-3493	200	4	a	a	DET
cana-3493	200	5	comprehensive	comprehensive	ADJ
cana-3493	200	6	analysis	analysis	NOUN
cana-3493	200	7	,	,	PUNCT
cana-3493	200	8	capable	capable	ADJ
cana-3493	200	9	of	of	ADP
cana-3493	200	10	identifying	identify	VERB
cana-3493	200	11	vulnerabilities	vulnerability	NOUN
cana-3493	200	12	such	such	ADJ
cana-3493	200	13	as	as	ADP
cana-3493	200	14	sql	sql	NOUN
cana-3493	200	15	injections	injection	NOUN
cana-3493	200	16	and	and	CCONJ
cana-3493	200	17	buffer	buffer	NOUN
cana-3493	200	18	overflows	overflow	VERB
cana-3493	200	19	with	with	ADP
cana-3493	200	20	higher	high	ADJ
cana-3493	200	21	precision	precision	NOUN
cana-3493	200	22	and	and	CCONJ
cana-3493	200	23	recall	recall	NOUN
cana-3493	200	24	.	.	PUNCT
cana-3493	201	1	integrated	integrate	VERB
cana-3493	201	2	seamlessly	seamlessly	ADV
cana-3493	201	3	into	into	ADP
cana-3493	201	4	ci	ci	NOUN
cana-3493	201	5	/	/	SYM
cana-3493	201	6	cd	cd	NOUN
cana-3493	201	7	pipelines	pipeline	NOUN
cana-3493	201	8	,	,	PUNCT
cana-3493	201	9	the	the	DET
cana-3493	201	10	framework	framework	NOUN
cana-3493	201	11	operates	operate	VERB
cana-3493	201	12	in	in	ADP
cana-3493	201	13	real	real	ADJ
cana-3493	201	14	-	-	PUNCT
cana-3493	201	15	time	time	NOUN
cana-3493	201	16	,	,	PUNCT
cana-3493	201	17	enabling	enable	VERB
cana-3493	201	18	continuous	continuous	ADJ
cana-3493	201	19	security	security	NOUN
cana-3493	201	20	checks	check	NOUN
cana-3493	201	21	during	during	ADP
cana-3493	201	22	development	development	NOUN
cana-3493	201	23	without	without	ADP
cana-3493	201	24	disrupting	disrupt	VERB
cana-3493	201	25	workflows	workflow	NOUN
cana-3493	201	26	.	.	PUNCT
cana-3493	202	1	additionally	additionally	ADV
cana-3493	202	2	,	,	PUNCT
cana-3493	202	3	a	a	DET
cana-3493	202	4	blockchain	blockchain	NOUN
cana-3493	202	5	-	-	PUNCT
cana-3493	202	6	based	base	VERB
cana-3493	202	7	module	module	NOUN
cana-3493	202	8	is	be	AUX
cana-3493	202	9	incorporated	incorporate	VERB
cana-3493	202	10	to	to	PART
cana-3493	202	11	provide	provide	VERB
cana-3493	202	12	transparency	transparency	NOUN
cana-3493	202	13	and	and	CCONJ
cana-3493	202	14	traceability	traceability	NOUN
cana-3493	202	15	for	for	ADP
cana-3493	202	16	vulnerability	vulnerability	NOUN
cana-3493	202	17	reports	report	NOUN
cana-3493	202	18	,	,	PUNCT
cana-3493	202	19	addressing	address	VERB
cana-3493	202	20	trust	trust	NOUN
cana-3493	202	21	and	and	CCONJ
cana-3493	202	22	auditability	auditability	NOUN
cana-3493	202	23	concerns	concern	NOUN
cana-3493	202	24	.	.	PUNCT
cana-3493	203	1	with	with	ADP
cana-3493	203	2	its	its	PRON
cana-3493	203	3	robust	robust	ADJ
cana-3493	203	4	architecture	architecture	NOUN
cana-3493	203	5	and	and	CCONJ
cana-3493	203	6	innovative	innovative	ADJ
cana-3493	203	7	design	design	NOUN
cana-3493	203	8	,	,	PUNCT
cana-3493	203	9	the	the	DET
cana-3493	203	10	framework	framework	NOUN
cana-3493	203	11	aims	aim	VERB
cana-3493	203	12	to	to	PART
cana-3493	203	13	achieve	achieve	VERB
cana-3493	203	14	an	an	DET
cana-3493	203	15	f1	f1	NOUN
cana-3493	203	16	-	-	PUNCT
cana-3493	203	17	score	score	NOUN
cana-3493	203	18	exceeding	exceed	VERB
cana-3493	203	19	96	96	NUM
cana-3493	203	20	%	%	NOUN
cana-3493	203	21	while	while	SCONJ
cana-3493	203	22	significantly	significantly	ADV
cana-3493	203	23	reducing	reduce	VERB
cana-3493	203	24	false	false	ADJ
cana-3493	203	25	positives	positive	NOUN
cana-3493	203	26	,	,	PUNCT
cana-3493	203	27	making	make	VERB
cana-3493	203	28	it	it	PRON
cana-3493	203	29	a	a	DET
cana-3493	203	30	scalable	scalable	ADJ
cana-3493	203	31	and	and	CCONJ
cana-3493	203	32	reliable	reliable	ADJ
cana-3493	203	33	solution	solution	NOUN
cana-3493	203	34	for	for	ADP
cana-3493	203	35	enhancing	enhance	VERB
cana-3493	203	36	software	software	NOUN
cana-3493	203	37	security	security	NOUN
cana-3493	203	38	in	in	ADP
cana-3493	203	39	large	large	ADJ
cana-3493	203	40	-	-	PUNCT
cana-3493	203	41	scale	scale	NOUN
cana-3493	203	42	development	development	NOUN
cana-3493	203	43	environments	environment	NOUN
cana-3493	203	44	.	.	PUNCT
cana-3493	204	1	conclusion	conclusion	NOUN
cana-3493	204	2	and	and	CCONJ
cana-3493	204	3	future	future	ADJ
cana-3493	204	4	enhancement	enhancement	NOUN
cana-3493	204	5	the	the	DET
cana-3493	204	6	proposed	propose	VERB
cana-3493	204	7	system	system	NOUN
cana-3493	204	8	provides	provide	VERB
cana-3493	204	9	a	a	DET
cana-3493	204	10	comprehensive	comprehensive	ADJ
cana-3493	204	11	framework	framework	NOUN
cana-3493	204	12	for	for	ADP
cana-3493	204	13	detecting	detect	VERB
cana-3493	204	14	and	and	CCONJ
cana-3493	204	15	classifying	classify	VERB
cana-3493	204	16	source	source	NOUN
cana-3493	204	17	code	code	NOUN
cana-3493	204	18	vulnerabilities	vulnerability	NOUN
cana-3493	204	19	using	use	VERB
cana-3493	204	20	advanced	advanced	ADJ
cana-3493	204	21	machine	machine	NOUN
cana-3493	204	22	learning	learn	VERB
cana-3493	204	23	techniques	technique	NOUN
cana-3493	204	24	.	.	PUNCT
cana-3493	205	1	by	by	ADP
cana-3493	205	2	employing	employ	VERB
cana-3493	205	3	a	a	DET
cana-3493	205	4	hybrid	hybrid	ADJ
cana-3493	205	5	deep	deep	ADJ
cana-3493	205	6	learning	learning	NOUN
cana-3493	205	7	architecture	architecture	NOUN
cana-3493	205	8	combining	combine	VERB
cana-3493	205	9	convolutional	convolutional	ADJ
cana-3493	205	10	neural	neural	ADJ
cana-3493	205	11	networks	network	NOUN
cana-3493	205	12	(	(	PUNCT
cana-3493	205	13	cnn	cnn	PROPN
cana-3493	205	14	)	)	PUNCT
cana-3493	205	15	and	and	CCONJ
cana-3493	205	16	long	long	ADJ
cana-3493	205	17	short	short	ADJ
cana-3493	205	18	-	-	PUNCT
cana-3493	205	19	term	term	NOUN
cana-3493	205	20	memory	memory	NOUN
cana-3493	205	21	networks	network	NOUN
cana-3493	205	22	(	(	PUNCT
cana-3493	205	23	lstm	lstm	PROPN
cana-3493	205	24	)	)	PUNCT
cana-3493	205	25	,	,	PUNCT
cana-3493	205	26	the	the	DET
cana-3493	205	27	system	system	NOUN
cana-3493	205	28	demonstrates	demonstrate	VERB
cana-3493	205	29	exceptional	exceptional	ADJ
cana-3493	205	30	accuracy	accuracy	NOUN
cana-3493	205	31	and	and	CCONJ
cana-3493	205	32	reliability	reliability	NOUN
cana-3493	205	33	in	in	ADP
cana-3493	205	34	identifying	identify	VERB
cana-3493	205	35	communications	communication	NOUN
cana-3493	205	36	on	on	ADP
cana-3493	205	37	applied	apply	VERB
cana-3493	205	38	nonlinear	nonlinear	ADJ
cana-3493	205	39	analysis	analysis	NOUN
cana-3493	205	40	issn	issn	NOUN
cana-3493	205	41	:	:	PUNCT
cana-3493	205	42	1074	1074	NUM
cana-3493	205	43	-	-	PUNCT
cana-3493	205	44	133x	133x	NUM
cana-3493	205	45	vol	vol	NOUN
cana-3493	205	46	32	32	NUM
cana-3493	205	47	no	no	NOUN
cana-3493	205	48	.	.	PUNCT
cana-3493	206	1	7s	7	NOUN
cana-3493	206	2	(	(	PUNCT
cana-3493	206	3	2025	2025	NUM
cana-3493	206	4	)	)	PUNCT
cana-3493	206	5	900	900	NUM
cana-3493	206	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3493	206	7	vulnerabilities	vulnerability	NOUN
cana-3493	206	8	across	across	ADP
cana-3493	206	9	various	various	ADJ
cana-3493	206	10	programming	programming	NOUN
cana-3493	206	11	languages	language	NOUN
cana-3493	206	12	.	.	PUNCT
cana-3493	207	1	the	the	DET
cana-3493	207	2	integration	integration	NOUN
cana-3493	207	3	of	of	ADP
cana-3493	207	4	code	code	NOUN
cana-3493	207	5	embeddings	embedding	NOUN
cana-3493	207	6	and	and	CCONJ
cana-3493	207	7	abstract	abstract	ADJ
cana-3493	207	8	syntax	syntax	NOUN
cana-3493	207	9	trees	tree	NOUN
cana-3493	207	10	(	(	PUNCT
cana-3493	207	11	asts	ast	NOUN
cana-3493	207	12	)	)	PUNCT
cana-3493	207	13	enables	enable	VERB
cana-3493	207	14	efficient	efficient	ADJ
cana-3493	207	15	feature	feature	NOUN
cana-3493	207	16	extraction	extraction	NOUN
cana-3493	207	17	,	,	PUNCT
cana-3493	207	18	ensuring	ensure	VERB
cana-3493	207	19	the	the	DET
cana-3493	207	20	system	system	NOUN
cana-3493	207	21	is	be	AUX
cana-3493	207	22	scalable	scalable	ADJ
cana-3493	207	23	and	and	CCONJ
cana-3493	207	24	capable	capable	ADJ
cana-3493	207	25	of	of	ADP
cana-3493	207	26	handling	handle	VERB
cana-3493	207	27	large	large	ADJ
cana-3493	207	28	codebases	codebase	NOUN
cana-3493	207	29	effectively	effectively	ADV
cana-3493	207	30	.	.	PUNCT
cana-3493	208	1	compared	compare	VERB
cana-3493	208	2	to	to	ADP
cana-3493	208	3	existing	exist	VERB
cana-3493	208	4	methods	method	NOUN
cana-3493	208	5	such	such	ADJ
cana-3493	208	6	as	as	ADP
cana-3493	208	7	vuldeepecker	vuldeepecker	NOUN
cana-3493	208	8	,	,	PUNCT
cana-3493	208	9	devign	devign	NOUN
cana-3493	208	10	,	,	PUNCT
cana-3493	208	11	and	and	CCONJ
cana-3493	208	12	code2vec	code2vec	NOUN
cana-3493	208	13	,	,	PUNCT
cana-3493	208	14	the	the	DET
cana-3493	208	15	proposed	propose	VERB
cana-3493	208	16	solution	solution	NOUN
cana-3493	208	17	achieves	achieve	VERB
cana-3493	208	18	superior	superior	ADJ
cana-3493	208	19	performance	performance	NOUN
cana-3493	208	20	with	with	ADP
cana-3493	208	21	an	an	DET
cana-3493	208	22	f1	f1	NOUN
cana-3493	208	23	-	-	PUNCT
cana-3493	208	24	score	score	NOUN
cana-3493	208	25	of	of	ADP
cana-3493	208	26	96.25	96.25	NUM
cana-3493	208	27	%	%	NOUN
cana-3493	208	28	and	and	CCONJ
cana-3493	208	29	significantly	significantly	ADV
cana-3493	208	30	reduced	reduce	VERB
cana-3493	208	31	false	false	ADJ
cana-3493	208	32	positive	positive	ADJ
cana-3493	208	33	rates	rate	NOUN
cana-3493	208	34	.	.	PUNCT
cana-3493	209	1	it	it	PRON
cana-3493	209	2	covers	cover	VERB
cana-3493	209	3	a	a	DET
cana-3493	209	4	wide	wide	ADJ
cana-3493	209	5	range	range	NOUN
cana-3493	209	6	of	of	ADP
cana-3493	209	7	vulnerabilities	vulnerability	NOUN
cana-3493	209	8	,	,	PUNCT
cana-3493	209	9	including	include	VERB
cana-3493	209	10	sql	sql	NOUN
cana-3493	209	11	injection	injection	NOUN
cana-3493	209	12	,	,	PUNCT
cana-3493	209	13	buffer	buffer	NOUN
cana-3493	209	14	overflows	overflow	NOUN
cana-3493	209	15	,	,	PUNCT
cana-3493	209	16	and	and	CCONJ
cana-3493	209	17	reentrancy	reentrancy	NOUN
cana-3493	209	18	attacks	attack	NOUN
cana-3493	209	19	,	,	PUNCT
cana-3493	209	20	while	while	SCONJ
cana-3493	209	21	also	also	ADV
cana-3493	209	22	categorizing	categorize	VERB
cana-3493	209	23	vulnerabilities	vulnerability	NOUN
cana-3493	209	24	by	by	ADP
cana-3493	209	25	severity	severity	NOUN
cana-3493	209	26	to	to	PART
cana-3493	209	27	help	help	VERB
cana-3493	209	28	developers	developer	NOUN
cana-3493	209	29	prioritize	prioritize	VERB
cana-3493	209	30	fixes	fix	NOUN
cana-3493	209	31	.	.	PUNCT
cana-3493	210	1	the	the	DET
cana-3493	210	2	system	system	NOUN
cana-3493	210	3	’s	’s	PART
cana-3493	210	4	ability	ability	NOUN
cana-3493	210	5	to	to	PART
cana-3493	210	6	perform	perform	VERB
cana-3493	210	7	real	real	ADJ
cana-3493	210	8	-	-	PUNCT
cana-3493	210	9	time	time	NOUN
cana-3493	210	10	analysis	analysis	NOUN
cana-3493	210	11	ensures	ensure	VERB
cana-3493	210	12	seamless	seamless	ADJ
cana-3493	210	13	integration	integration	NOUN
cana-3493	210	14	into	into	ADP
cana-3493	210	15	ci	ci	NOUN
cana-3493	210	16	/	/	SYM
cana-3493	210	17	cd	cd	NOUN
cana-3493	210	18	pipelines	pipeline	NOUN
cana-3493	210	19	,	,	PUNCT
cana-3493	210	20	making	make	VERB
cana-3493	210	21	it	it	PRON
cana-3493	210	22	a	a	DET
cana-3493	210	23	valuable	valuable	ADJ
cana-3493	210	24	addition	addition	NOUN
cana-3493	210	25	to	to	ADP
cana-3493	210	26	the	the	DET
cana-3493	210	27	software	software	NOUN
cana-3493	210	28	development	development	NOUN
cana-3493	210	29	lifecycle	lifecycle	NOUN
cana-3493	210	30	.	.	PUNCT
cana-3493	211	1	reference	reference	NOUN
cana-3493	211	2	[	[	X
cana-3493	211	3	1	1	NUM
cana-3493	211	4	]	]	X
cana-3493	211	5	hovemeyer	hovemeyer	NOUN
cana-3493	211	6	,	,	PUNCT
cana-3493	211	7	david	david	PROPN
cana-3493	211	8	.	.	PUNCT
cana-3493	212	1	"	"	PUNCT
cana-3493	212	2	using	use	VERB
cana-3493	212	3	static	static	ADJ
cana-3493	212	4	analysis	analysis	NOUN
cana-3493	212	5	to	to	PART
cana-3493	212	6	find	find	VERB
cana-3493	212	7	bugs	bug	NOUN
cana-3493	212	8	.	.	PUNCT
cana-3493	213	1	[	[	X
cana-3493	213	2	2	2	NUM
cana-3493	213	3	]	]	SYM
cana-3493	213	4	li	li	PROPN
cana-3493	213	5	,	,	PUNCT
cana-3493	213	6	zhen	zhen	PROPN
cana-3493	213	7	,	,	PUNCT
cana-3493	213	8	et	et	PROPN
cana-3493	213	9	al	al	PROPN
cana-3493	213	10	.	.	PUNCT
cana-3493	214	1	"	"	PUNCT
cana-3493	214	2	vuldeepecker	vuldeepecker	NOUN
cana-3493	214	3	:	:	PUNCT
cana-3493	214	4	a	a	DET
cana-3493	214	5	deep	deep	ADJ
cana-3493	214	6	learning	learning	NOUN
cana-3493	214	7	-	-	PUNCT
cana-3493	214	8	based	base	VERB
cana-3493	214	9	system	system	NOUN
cana-3493	214	10	for	for	ADP
cana-3493	214	11	vulnerability	vulnerability	NOUN
cana-3493	214	12	detection	detection	NOUN
cana-3493	214	13	.	.	PUNCT
cana-3493	214	14	"	"	PUNCT
cana-3493	215	1	arxiv	arxiv	PROPN
cana-3493	215	2	preprint	preprint	NOUN
cana-3493	215	3	arxiv:1801.01681	arxiv:1801.01681	ADP
cana-3493	215	4	(	(	PUNCT
cana-3493	215	5	2018	2018	NUM
cana-3493	215	6	)	)	PUNCT
cana-3493	215	7	.	.	PUNCT
cana-3493	216	1	[	[	X
cana-3493	216	2	3	3	NUM
cana-3493	216	3	]	]	SYM
cana-3493	216	4	alon	alon	PROPN
cana-3493	216	5	,	,	PUNCT
cana-3493	216	6	uri	uri	PROPN
cana-3493	216	7	,	,	PUNCT
cana-3493	216	8	et	et	PROPN
cana-3493	216	9	al	al	PROPN
cana-3493	216	10	.	.	PUNCT
cana-3493	217	1	"	"	PUNCT
cana-3493	217	2	code2vec	code2vec	NOUN
cana-3493	217	3	:	:	PUNCT
cana-3493	217	4	learning	learn	VERB
cana-3493	217	5	distributed	distribute	VERB
cana-3493	217	6	representations	representation	NOUN
cana-3493	217	7	of	of	ADP
cana-3493	217	8	code	code	NOUN
cana-3493	217	9	.	.	PUNCT
cana-3493	217	10	"	"	PUNCT
cana-3493	218	1	proceedings	proceeding	NOUN
cana-3493	218	2	of	of	ADP
cana-3493	218	3	the	the	DET
cana-3493	218	4	acm	acm	NOUN
cana-3493	218	5	on	on	ADP
cana-3493	218	6	programming	programming	NOUN
cana-3493	218	7	languages	language	NOUN
cana-3493	218	8	3.popl	3.popl	NUM
cana-3493	218	9	(	(	PUNCT
cana-3493	218	10	2019	2019	NUM
cana-3493	218	11	):	):	PUNCT
cana-3493	218	12	1	1	NUM
cana-3493	218	13	-	-	SYM
cana-3493	218	14	29	29	NUM
cana-3493	218	15	.	.	PUNCT
cana-3493	219	1	[	[	X
cana-3493	219	2	4	4	NUM
cana-3493	219	3	]	]	X
cana-3493	219	4	yamaguchi	yamaguchi	PROPN
cana-3493	219	5	,	,	PUNCT
cana-3493	219	6	f.	f.	PROPN
cana-3493	219	7	,	,	PUNCT
cana-3493	219	8	golde	golde	PROPN
cana-3493	219	9	,	,	PUNCT
cana-3493	219	10	n.	n.	NOUN
cana-3493	219	11	,	,	PUNCT
cana-3493	219	12	arp	arp	PROPN
cana-3493	219	13	,	,	PUNCT
cana-3493	219	14	d.	d.	PROPN
cana-3493	219	15	,	,	PUNCT
cana-3493	219	16	&	&	CCONJ
cana-3493	219	17	rieck	rieck	VERB
cana-3493	219	18	,	,	PUNCT
cana-3493	219	19	k.	k.	PROPN
cana-3493	219	20	(	(	PUNCT
cana-3493	219	21	2014	2014	NUM
cana-3493	219	22	)	)	PUNCT
cana-3493	219	23	.	.	PUNCT
cana-3493	220	1	modeling	modeling	NOUN
cana-3493	220	2	and	and	CCONJ
cana-3493	220	3	discovering	discover	VERB
cana-3493	220	4	vulnerabilities	vulnerability	NOUN
cana-3493	220	5	with	with	ADP
cana-3493	220	6	code	code	NOUN
cana-3493	220	7	property	property	NOUN
cana-3493	220	8	graphs	graph	NOUN
cana-3493	220	9	.	.	PUNCT
cana-3493	221	1	proceedings	proceeding	NOUN
cana-3493	221	2	of	of	ADP
cana-3493	221	3	the	the	DET
cana-3493	221	4	ieee	ieee	NOUN
cana-3493	221	5	symposium	symposium	NOUN
cana-3493	221	6	on	on	ADP
cana-3493	221	7	security	security	NOUN
cana-3493	221	8	and	and	CCONJ
cana-3493	221	9	privacy	privacy	NOUN
cana-3493	221	10	(	(	PUNCT
cana-3493	221	11	sp	sp	NOUN
cana-3493	221	12	)	)	PUNCT
cana-3493	221	13	[	[	X
cana-3493	221	14	5	5	NUM
cana-3493	221	15	]	]	SYM
cana-3493	221	16	esposito	esposito	PROPN
cana-3493	221	17	,	,	PUNCT
cana-3493	221	18	christian	christian	PROPN
cana-3493	221	19	,	,	PUNCT
cana-3493	221	20	et	et	PROPN
cana-3493	221	21	al	al	PROPN
cana-3493	221	22	.	.	PUNCT
cana-3493	222	1	"	"	PUNCT
cana-3493	222	2	blockchain	blockchain	NOUN
cana-3493	222	3	:	:	PUNCT
cana-3493	222	4	a	a	DET
cana-3493	222	5	panacea	panacea	NOUN
cana-3493	222	6	for	for	ADP
cana-3493	222	7	healthcare	healthcare	PROPN
cana-3493	222	8	cloud	cloud	NOUN
cana-3493	222	9	-	-	PUNCT
cana-3493	222	10	based	base	VERB
cana-3493	222	11	data	datum	NOUN
cana-3493	222	12	security	security	NOUN
cana-3493	222	13	and	and	CCONJ
cana-3493	222	14	privacy	privacy	NOUN
cana-3493	222	15	?	?	PUNCT
cana-3493	222	16	.	.	PUNCT
cana-3493	222	17	"	"	PUNCT
cana-3493	223	1	ieee	ieee	NOUN
cana-3493	223	2	cloud	cloud	NOUN
cana-3493	223	3	computing	compute	VERB
cana-3493	223	4	5.1	5.1	NUM
cana-3493	223	5	(	(	PUNCT
cana-3493	223	6	2018	2018	NUM
cana-3493	223	7	):	):	PUNCT
cana-3493	223	8	31	31	NUM
cana-3493	223	9	-	-	SYM
cana-3493	223	10	37	37	NUM
cana-3493	223	11	.	.	PUNCT
cana-3493	224	1	[	[	X
cana-3493	224	2	6	6	NUM
cana-3493	224	3	]	]	SYM
cana-3493	224	4	esposito	esposito	PROPN
cana-3493	224	5	,	,	PUNCT
cana-3493	224	6	christian	christian	PROPN
cana-3493	224	7	,	,	PUNCT
cana-3493	224	8	et	et	PROPN
cana-3493	224	9	al	al	PROPN
cana-3493	224	10	.	.	PUNCT
cana-3493	225	1	"	"	PUNCT
cana-3493	225	2	blockchain	blockchain	NOUN
cana-3493	225	3	:	:	PUNCT
cana-3493	225	4	a	a	DET
cana-3493	225	5	panacea	panacea	NOUN
cana-3493	225	6	for	for	ADP
cana-3493	225	7	healthcare	healthcare	PROPN
cana-3493	225	8	cloud	cloud	NOUN
cana-3493	225	9	-	-	PUNCT
cana-3493	225	10	based	base	VERB
cana-3493	225	11	data	datum	NOUN
cana-3493	225	12	security	security	NOUN
cana-3493	225	13	and	and	CCONJ
cana-3493	225	14	privacy	privacy	NOUN
cana-3493	225	15	?	?	PUNCT
cana-3493	225	16	.	.	PUNCT
cana-3493	225	17	"	"	PUNCT
cana-3493	226	1	ieee	ieee	NOUN
cana-3493	226	2	cloud	cloud	NOUN
cana-3493	226	3	computing	compute	VERB
cana-3493	226	4	5.1	5.1	NUM
cana-3493	226	5	(	(	PUNCT
cana-3493	226	6	2018	2018	NUM
cana-3493	226	7	):	):	PUNCT
cana-3493	226	8	31	31	NUM
cana-3493	226	9	-	-	SYM
cana-3493	226	10	37	37	NUM
cana-3493	226	11	.	.	PUNCT
cana-3493	227	1	[	[	X
cana-3493	227	2	7	7	NUM
cana-3493	227	3	]	]	X
cana-3493	227	4	zhou	zhou	X
cana-3493	227	5	,	,	PUNCT
cana-3493	227	6	yaqin	yaqin	NOUN
cana-3493	227	7	,	,	PUNCT
cana-3493	227	8	et	et	PROPN
cana-3493	227	9	al	al	PROPN
cana-3493	227	10	.	.	PUNCT
cana-3493	227	11	"	"	PUNCT
cana-3493	227	12	devign	devign	VERB
cana-3493	227	13	:	:	PUNCT
cana-3493	227	14	effective	effective	ADJ
cana-3493	227	15	vulnerability	vulnerability	NOUN
cana-3493	227	16	identification	identification	NOUN
cana-3493	227	17	by	by	ADP
cana-3493	227	18	learning	learn	VERB
cana-3493	227	19	comprehensive	comprehensive	ADJ
cana-3493	227	20	program	program	NOUN
cana-3493	227	21	semantics	semantic	NOUN
cana-3493	227	22	via	via	ADP
cana-3493	227	23	graph	graph	NOUN
cana-3493	227	24	neural	neural	ADJ
cana-3493	227	25	networks	network	NOUN
cana-3493	227	26	.	.	PUNCT
cana-3493	227	27	"	"	PUNCT
cana-3493	228	1	advances	advance	NOUN
cana-3493	228	2	in	in	ADP
cana-3493	228	3	neural	neural	ADJ
cana-3493	228	4	information	information	NOUN
cana-3493	228	5	processing	processing	NOUN
cana-3493	228	6	systems	system	NOUN
cana-3493	228	7	32	32	NUM
cana-3493	228	8	(	(	PUNCT
cana-3493	228	9	2019	2019	NUM
cana-3493	228	10	)	)	PUNCT
cana-3493	228	11	.	.	PUNCT
cana-3493	229	1	[	[	X
cana-3493	229	2	8	8	NUM
cana-3493	229	3	]	]	X
cana-3493	229	4	yamaguchi	yamaguchi	PROPN
cana-3493	229	5	,	,	PUNCT
cana-3493	229	6	fabian	fabian	PROPN
cana-3493	229	7	,	,	PUNCT
cana-3493	229	8	et	et	PROPN
cana-3493	229	9	al	al	PROPN
cana-3493	229	10	.	.	PUNCT
cana-3493	229	11	"	"	PUNCT
cana-3493	229	12	modeling	model	VERB
cana-3493	229	13	and	and	CCONJ
cana-3493	229	14	discovering	discover	VERB
cana-3493	229	15	vulnerabilities	vulnerability	NOUN
cana-3493	229	16	with	with	ADP
cana-3493	229	17	code	code	NOUN
cana-3493	229	18	property	property	NOUN
cana-3493	229	19	graphs	graph	NOUN
cana-3493	229	20	.	.	PUNCT
cana-3493	229	21	"	"	PUNCT
cana-3493	230	1	2014	2014	NUM
cana-3493	230	2	ieee	ieee	NOUN
cana-3493	230	3	symposium	symposium	NOUN
cana-3493	230	4	on	on	ADP
cana-3493	230	5	security	security	NOUN
cana-3493	230	6	and	and	CCONJ
cana-3493	230	7	privacy	privacy	NOUN
cana-3493	230	8	.	.	PUNCT
cana-3493	231	1	ieee	ieee	PROPN
cana-3493	231	2	,	,	PUNCT
cana-3493	231	3	2014	2014	NUM
cana-3493	231	4	.	.	PUNCT
cana-3493	232	1	[	[	X
cana-3493	232	2	9	9	NUM
cana-3493	232	3	]	]	X
cana-3493	232	4	feng	feng	X
cana-3493	232	5	,	,	PUNCT
cana-3493	232	6	zhangyin	zhangyin	PROPN
cana-3493	232	7	,	,	PUNCT
cana-3493	232	8	et	et	PROPN
cana-3493	232	9	al	al	PROPN
cana-3493	232	10	.	.	PUNCT
cana-3493	233	1	"	"	PUNCT
cana-3493	233	2	codebert	codebert	NOUN
cana-3493	233	3	:	:	PUNCT
cana-3493	233	4	a	a	DET
cana-3493	233	5	pre	pre	ADJ
cana-3493	233	6	-	-	ADJ
cana-3493	233	7	trained	train	VERB
cana-3493	233	8	model	model	NOUN
cana-3493	233	9	for	for	ADP
cana-3493	233	10	programming	programming	NOUN
cana-3493	233	11	and	and	CCONJ
cana-3493	233	12	natural	natural	ADJ
cana-3493	233	13	languages	language	NOUN
cana-3493	233	14	.	.	PUNCT
cana-3493	233	15	"	"	PUNCT
cana-3493	234	1	arxiv	arxiv	PROPN
cana-3493	234	2	preprint	preprint	VERB
cana-3493	234	3	arxiv:2002.08155	arxiv:2002.08155	PROPN
cana-3493	234	4	(	(	PUNCT
cana-3493	234	5	2020	2020	NUM
cana-3493	234	6	)	)	PUNCT
cana-3493	234	7	.	.	PUNCT
cana-3493	235	1	[	[	X
cana-3493	235	2	10	10	NUM
cana-3493	235	3	]	]	X
cana-3493	235	4	nath	nath	NOUN
cana-3493	235	5	,	,	PUNCT
cana-3493	235	6	panchanan	panchanan	NOUN
cana-3493	235	7	,	,	PUNCT
cana-3493	235	8	et	et	PROPN
cana-3493	235	9	al	al	PROPN
cana-3493	235	10	.	.	PUNCT
cana-3493	236	1	"	"	PUNCT
cana-3493	236	2	ai	ai	VERB
cana-3493	236	3	and	and	CCONJ
cana-3493	236	4	blockchain	blockchain	PROPN
cana-3493	236	5	-	-	PUNCT
cana-3493	236	6	based	base	VERB
cana-3493	236	7	source	source	NOUN
cana-3493	236	8	code	code	NOUN
cana-3493	236	9	vulnerability	vulnerability	NOUN
cana-3493	236	10	detection	detection	NOUN
cana-3493	236	11	and	and	CCONJ
cana-3493	236	12	prevention	prevention	NOUN
cana-3493	236	13	system	system	NOUN
cana-3493	236	14	for	for	ADP
cana-3493	236	15	multiparty	multiparty	ADJ
cana-3493	236	16	software	software	NOUN
cana-3493	236	17	development	development	NOUN
cana-3493	236	18	.	.	PUNCT
cana-3493	236	19	"	"	PUNCT
cana-3493	237	1	computers	computer	NOUN
cana-3493	237	2	and	and	CCONJ
cana-3493	237	3	electrical	electrical	ADJ
cana-3493	237	4	engineering	engineering	NOUN
cana-3493	237	5	106	106	NUM
cana-3493	237	6	(	(	PUNCT
cana-3493	237	7	2023	2023	NUM
cana-3493	237	8	):	):	PUNCT
cana-3493	237	9	108607	108607	NUM
cana-3493	237	10	.	.	PUNCT