id	sid	tid	token	lemma	pos
cana-997	1	1	communications	communication	NOUN
cana-997	1	2	on	on	ADP
cana-997	1	3	applied	apply	VERB
cana-997	1	4	nonlinear	nonlinear	ADJ
cana-997	1	5	analysis	analysis	NOUN
cana-997	1	6	issn	issn	NOUN
cana-997	1	7	:	:	PUNCT
cana-997	1	8	1074	1074	NUM
cana-997	1	9	-	-	PUNCT
cana-997	1	10	133x	133x	NUM
cana-997	1	11	vol	vol	NOUN
cana-997	1	12	31	31	NUM
cana-997	1	13	no	no	NOUN
cana-997	1	14	.	.	PUNCT
cana-997	2	1	5s	5s	NUM
cana-997	2	2	(	(	PUNCT
cana-997	2	3	2024	2024	NUM
cana-997	2	4	)	)	PUNCT
cana-997	2	5	25	25	NUM
cana-997	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	2	7	detecting	detect	VERB
cana-997	2	8	vulnerabilities	vulnerability	NOUN
cana-997	2	9	through	through	ADP
cana-997	2	10	the	the	DET
cana-997	2	11	examination	examination	NOUN
cana-997	2	12	of	of	ADP
cana-997	2	13	software	software	NOUN
cana-997	2	14	in	in	ADP
cana-997	2	15	cloud	cloud	NOUN
cana-997	2	16	using	use	VERB
cana-997	2	17	machine	machine	NOUN
cana-997	2	18	learning	learn	VERB
cana-997	2	19	techniques	technique	NOUN
cana-997	2	20	g	g	PROPN
cana-997	2	21	p	p	PROPN
cana-997	2	22	c	c	PROPN
cana-997	2	23	venkata	venkata	PROPN
cana-997	2	24	krishna*1	krishna*1	PROPN
cana-997	2	25	,	,	PUNCT
cana-997	3	1	dr	dr	PROPN
cana-997	3	2	d	d	PROPN
cana-997	3	3	vivekananda	vivekananda	PROPN
cana-997	3	4	reddy2	reddy2	PROPN
cana-997	4	1	*	*	PUNCT
cana-997	4	2	1	1	NUM
cana-997	4	3	research	research	NOUN
cana-997	4	4	scholar	scholar	NOUN
cana-997	4	5	,	,	PUNCT
cana-997	4	6	dept	dept	NOUN
cana-997	4	7	of	of	ADP
cana-997	4	8	computer	computer	NOUN
cana-997	4	9	science	science	NOUN
cana-997	4	10	and	and	CCONJ
cana-997	4	11	engineering	engineering	NOUN
cana-997	4	12	,	,	PUNCT
cana-997	4	13	svuce	svuce	ADJ
cana-997	4	14	,	,	PUNCT
cana-997	4	15	sri	sri	PROPN
cana-997	4	16	venkateswara	venkateswara	PROPN
cana-997	4	17	university	university	PROPN
cana-997	4	18	,	,	PUNCT
cana-997	4	19	tirupati	tirupati	PROPN
cana-997	4	20	,	,	PUNCT
cana-997	4	21	andhra	andhra	PROPN
cana-997	4	22	pradesh	pradesh	PROPN
cana-997	4	23	,	,	PUNCT
cana-997	4	24	india	india	PROPN
cana-997	4	25	2	2	NUM
cana-997	4	26	professor	professor	NOUN
cana-997	4	27	,	,	PUNCT
cana-997	4	28	dept	dept	NOUN
cana-997	4	29	of	of	ADP
cana-997	4	30	computer	computer	NOUN
cana-997	4	31	science	science	NOUN
cana-997	4	32	and	and	CCONJ
cana-997	4	33	engineering	engineering	NOUN
cana-997	4	34	,	,	PUNCT
cana-997	4	35	svuce	svuce	ADJ
cana-997	4	36	,	,	PUNCT
cana-997	4	37	sri	sri	PROPN
cana-997	4	38	venkateswara	venkateswara	PROPN
cana-997	4	39	university	university	PROPN
cana-997	4	40	,	,	PUNCT
cana-997	4	41	tirupati	tirupati	PROPN
cana-997	4	42	,	,	PUNCT
cana-997	4	43	andhra	andhra	PROPN
cana-997	4	44	pradesh	pradesh	PROPN
cana-997	4	45	,	,	PUNCT
cana-997	4	46	india	india	PROPN
cana-997	4	47	article	article	PROPN
cana-997	4	48	history	history	NOUN
cana-997	4	49	:	:	PUNCT
cana-997	4	50	received	receive	VERB
cana-997	4	51	:	:	PUNCT
cana-997	4	52	28	28	NUM
cana-997	4	53	-	-	PUNCT
cana-997	4	54	04	04	NUM
cana-997	4	55	-	-	PUNCT
cana-997	4	56	2024	2024	NUM
cana-997	4	57	revised	revise	VERB
cana-997	4	58	:	:	PUNCT
cana-997	4	59	08	08	NUM
cana-997	4	60	-	-	SYM
cana-997	4	61	06	06	NUM
cana-997	4	62	-	-	PUNCT
cana-997	4	63	2024	2024	NUM
cana-997	4	64	accepted	accept	VERB
cana-997	4	65	:	:	PUNCT
cana-997	4	66	26	26	NUM
cana-997	4	67	-	-	SYM
cana-997	4	68	06	06	NUM
cana-997	4	69	-	-	PUNCT
cana-997	4	70	2024	2024	NUM
cana-997	4	71	abstract	abstract	NOUN
cana-997	4	72	:	:	PUNCT
cana-997	4	73	this	this	DET
cana-997	4	74	research	research	NOUN
cana-997	4	75	proposes	propose	VERB
cana-997	4	76	a	a	DET
cana-997	4	77	vulnerability	vulnerability	NOUN
cana-997	4	78	prediction	prediction	NOUN
cana-997	4	79	approach	approach	NOUN
cana-997	4	80	that	that	PRON
cana-997	4	81	analyzes	analyze	VERB
cana-997	4	82	functions	function	NOUN
cana-997	4	83	/	/	SYM
cana-997	4	84	methods	method	NOUN
cana-997	4	85	/	/	SYM
cana-997	4	86	classes	class	NOUN
cana-997	4	87	in	in	ADP
cana-997	4	88	software	software	NOUN
cana-997	4	89	systems	system	NOUN
cana-997	4	90	using	use	VERB
cana-997	4	91	static	static	ADJ
cana-997	4	92	analysis	analysis	NOUN
cana-997	4	93	and	and	CCONJ
cana-997	4	94	machine	machine	NOUN
cana-997	4	95	learning	learning	NOUN
cana-997	4	96	models	model	NOUN
cana-997	4	97	.	.	PUNCT
cana-997	5	1	the	the	DET
cana-997	5	2	proposed	propose	VERB
cana-997	5	3	approach	approach	NOUN
cana-997	5	4	outperformed	outperform	VERB
cana-997	5	5	other	other	ADJ
cana-997	5	6	vulnerability	vulnerability	NOUN
cana-997	5	7	prediction	prediction	NOUN
cana-997	5	8	approaches	approach	VERB
cana-997	5	9	in	in	ADP
cana-997	5	10	publicly	publicly	ADV
cana-997	5	11	available	available	ADJ
cana-997	5	12	datasets	dataset	NOUN
cana-997	5	13	,	,	PUNCT
cana-997	5	14	providing	provide	VERB
cana-997	5	15	valuable	valuable	ADJ
cana-997	5	16	insights	insight	NOUN
cana-997	5	17	to	to	PART
cana-997	5	18	prioritize	prioritize	VERB
cana-997	5	19	vulnerability	vulnerability	NOUN
cana-997	5	20	remediation	remediation	NOUN
cana-997	5	21	efforts	effort	NOUN
cana-997	5	22	.	.	PUNCT
cana-997	6	1	this	this	DET
cana-997	6	2	approach	approach	NOUN
cana-997	6	3	has	have	VERB
cana-997	6	4	the	the	DET
cana-997	6	5	potential	potential	NOUN
cana-997	6	6	to	to	PART
cana-997	6	7	improve	improve	VERB
cana-997	6	8	software	software	NOUN
cana-997	6	9	security	security	NOUN
cana-997	6	10	and	and	CCONJ
cana-997	6	11	help	help	VERB
cana-997	6	12	software	software	NOUN
cana-997	6	13	development	development	NOUN
cana-997	6	14	teams	team	NOUN
cana-997	6	15	develop	develop	VERB
cana-997	6	16	more	more	ADV
cana-997	6	17	secure	secure	ADJ
cana-997	6	18	software	software	NOUN
cana-997	6	19	systems	system	NOUN
cana-997	6	20	.	.	PUNCT
cana-997	7	1	keywords	keyword	NOUN
cana-997	7	2	:	:	PUNCT
cana-997	7	3	software	software	NOUN
cana-997	7	4	vulnerability	vulnerability	NOUN
cana-997	7	5	,	,	PUNCT
cana-997	7	6	function	function	VERB
cana-997	7	7	analysis	analysis	NOUN
cana-997	7	8	,	,	PUNCT
cana-997	7	9	machine	machine	NOUN
cana-997	7	10	learning	learning	NOUN
cana-997	7	11	,	,	PUNCT
cana-997	7	12	neural	neural	ADJ
cana-997	7	13	network	network	NOUN
cana-997	7	14	,	,	PUNCT
cana-997	7	15	complexity	complexity	NOUN
cana-997	7	16	analysis	analysis	NOUN
cana-997	7	17	.	.	PUNCT
cana-997	8	1	1	1	X
cana-997	8	2	.	.	X
cana-997	8	3	introduction	introduction	NOUN
cana-997	8	4	in	in	ADP
cana-997	8	5	recent	recent	ADJ
cana-997	8	6	years	year	NOUN
cana-997	8	7	,	,	PUNCT
cana-997	8	8	the	the	DET
cana-997	8	9	increase	increase	NOUN
cana-997	8	10	in	in	ADP
cana-997	8	11	security	security	NOUN
cana-997	8	12	breaches	breach	NOUN
cana-997	8	13	and	and	CCONJ
cana-997	8	14	cyberattacks	cyberattack	NOUN
cana-997	8	15	has	have	AUX
cana-997	8	16	underscored	underscore	VERB
cana-997	8	17	the	the	DET
cana-997	8	18	importance	importance	NOUN
cana-997	8	19	of	of	ADP
cana-997	8	20	software	software	NOUN
cana-997	8	21	security	security	NOUN
cana-997	8	22	.	.	PUNCT
cana-997	9	1	these	these	DET
cana-997	9	2	incidents	incident	NOUN
cana-997	9	3	have	have	AUX
cana-997	9	4	caused	cause	VERB
cana-997	9	5	significant	significant	ADJ
cana-997	9	6	financial	financial	ADJ
cana-997	9	7	and	and	CCONJ
cana-997	9	8	reputational	reputational	ADJ
cana-997	9	9	damage	damage	NOUN
cana-997	9	10	to	to	ADP
cana-997	9	11	the	the	DET
cana-997	9	12	organization	organization	NOUN
cana-997	9	13	.	.	PUNCT
cana-997	10	1	in	in	ADP
cana-997	10	2	addition	addition	NOUN
cana-997	10	3	,	,	PUNCT
cana-997	10	4	increasing	increase	VERB
cana-997	10	5	reliance	reliance	NOUN
cana-997	10	6	on	on	ADP
cana-997	10	7	software	software	NOUN
cana-997	10	8	systems	system	NOUN
cana-997	10	9	makes	make	VERB
cana-997	10	10	them	they	PRON
cana-997	10	11	more	more	ADV
cana-997	10	12	vulnerable	vulnerable	ADJ
cana-997	10	13	to	to	ADP
cana-997	10	14	security	security	NOUN
cana-997	10	15	breaches	breach	NOUN
cana-997	10	16	,	,	PUNCT
cana-997	10	17	making	make	VERB
cana-997	10	18	it	it	PRON
cana-997	10	19	imperative	imperative	ADJ
cana-997	10	20	to	to	PART
cana-997	10	21	secure	secure	VERB
cana-997	10	22	these	these	DET
cana-997	10	23	systems	system	NOUN
cana-997	10	24	.	.	PUNCT
cana-997	11	1	vulnerability	vulnerability	NOUN
cana-997	11	2	prediction	prediction	NOUN
cana-997	11	3	is	be	AUX
cana-997	11	4	one	one	NUM
cana-997	11	5	of	of	ADP
cana-997	11	6	the	the	DET
cana-997	11	7	key	key	ADJ
cana-997	11	8	aspects	aspect	NOUN
cana-997	11	9	of	of	ADP
cana-997	11	10	software	software	NOUN
cana-997	11	11	security	security	NOUN
cana-997	11	12	and	and	CCONJ
cana-997	11	13	involves	involve	VERB
cana-997	11	14	identifying	identify	VERB
cana-997	11	15	potential	potential	ADJ
cana-997	11	16	vulnerabilities	vulnerability	NOUN
cana-997	11	17	in	in	ADP
cana-997	11	18	software	software	NOUN
cana-997	11	19	systems	system	NOUN
cana-997	11	20	before	before	SCONJ
cana-997	11	21	they	they	PRON
cana-997	11	22	are	be	AUX
cana-997	11	23	exploited	exploit	VERB
cana-997	11	24	by	by	ADP
cana-997	11	25	attackers	attacker	NOUN
cana-997	11	26	.	.	PUNCT
cana-997	12	1	early	early	ADJ
cana-997	12	2	detection	detection	NOUN
cana-997	12	3	of	of	ADP
cana-997	12	4	potential	potential	ADJ
cana-997	12	5	security	security	NOUN
cana-997	12	6	vulnerabilities	vulnerability	NOUN
cana-997	12	7	helps	help	VERB
cana-997	12	8	develop	develop	VERB
cana-997	12	9	more	more	ADV
cana-997	12	10	secure	secure	ADJ
cana-997	12	11	software	software	NOUN
cana-997	12	12	systems	system	NOUN
cana-997	12	13	.	.	PUNCT
cana-997	13	1	it	it	PRON
cana-997	13	2	can	can	AUX
cana-997	13	3	also	also	ADV
cana-997	13	4	prevent	prevent	VERB
cana-997	13	5	significant	significant	ADJ
cana-997	13	6	damage	damage	NOUN
cana-997	13	7	and	and	CCONJ
cana-997	13	8	reduce	reduce	VERB
cana-997	13	9	the	the	DET
cana-997	13	10	risk	risk	NOUN
cana-997	13	11	of	of	ADP
cana-997	13	12	financial	financial	ADJ
cana-997	13	13	and	and	CCONJ
cana-997	13	14	reputational	reputational	ADJ
cana-997	13	15	damage	damage	NOUN
cana-997	13	16	to	to	ADP
cana-997	13	17	your	your	PRON
cana-997	13	18	organization	organization	NOUN
cana-997	13	19	.	.	PUNCT
cana-997	14	1	in	in	ADP
cana-997	14	2	recent	recent	ADJ
cana-997	14	3	years	year	NOUN
cana-997	14	4	,	,	PUNCT
cana-997	14	5	machine	machine	NOUN
cana-997	14	6	learning	learning	NOUN
cana-997	14	7	techniques	technique	NOUN
cana-997	14	8	have	have	AUX
cana-997	14	9	become	become	VERB
cana-997	14	10	increasingly	increasingly	ADV
cana-997	14	11	popular	popular	ADJ
cana-997	14	12	for	for	ADP
cana-997	14	13	predicting	predict	VERB
cana-997	14	14	software	software	NOUN
cana-997	14	15	vulnerabilities	vulnerability	NOUN
cana-997	14	16	.	.	PUNCT
cana-997	15	1	these	these	DET
cana-997	15	2	techniques	technique	NOUN
cana-997	15	3	are	be	AUX
cana-997	15	4	used	use	VERB
cana-997	15	5	to	to	PART
cana-997	15	6	predict	predict	VERB
cana-997	15	7	various	various	ADJ
cana-997	15	8	types	type	NOUN
cana-997	15	9	of	of	ADP
cana-997	15	10	vulnerabilities	vulnerability	NOUN
cana-997	15	11	.	.	PUNCT
cana-997	16	1	b.	b.	NOUN
cana-997	16	2	buffer	buffer	PROPN
cana-997	16	3	overflow	overflow	NOUN
cana-997	16	4	vulnerabilities	vulnerability	NOUN
cana-997	16	5	,	,	PUNCT
cana-997	16	6	sql	sql	NOUN
cana-997	16	7	injection	injection	NOUN
cana-997	16	8	vulnerabilities	vulnerability	NOUN
cana-997	16	9	,	,	PUNCT
cana-997	16	10	and	and	CCONJ
cana-997	16	11	cross	cross	ADJ
cana-997	16	12	-	-	ADJ
cana-997	16	13	sitescripting	sitescripting	ADJ
cana-997	16	14	identify	identify	VERB
cana-997	16	15	applicable	applicable	ADJ
cana-997	16	16	funding	funding	NOUN
cana-997	16	17	agency	agency	NOUN
cana-997	16	18	here	here	ADV
cana-997	16	19	.	.	PUNCT
cana-997	17	1	if	if	SCONJ
cana-997	17	2	none	none	NOUN
cana-997	17	3	,	,	PUNCT
cana-997	17	4	delete	delete	VERB
cana-997	17	5	this	this	PRON
cana-997	17	6	.	.	PUNCT
cana-997	18	1	vulnerabilities	vulnerability	NOUN
cana-997	18	2	.	.	PUNCT
cana-997	19	1	however	however	ADV
cana-997	19	2	,	,	PUNCT
cana-997	19	3	most	most	ADJ
cana-997	19	4	existing	exist	VERB
cana-997	19	5	approaches	approach	NOUN
cana-997	19	6	to	to	ADP
cana-997	19	7	vulnerability	vulnerability	NOUN
cana-997	19	8	prediction	prediction	NOUN
cana-997	19	9	focus	focus	NOUN
cana-997	19	10	on	on	ADP
cana-997	19	11	predicting	predict	VERB
cana-997	19	12	vulnerabilities	vulnerability	NOUN
cana-997	19	13	at	at	ADP
cana-997	19	14	the	the	DET
cana-997	19	15	source	source	NOUN
cana-997	19	16	code	code	NOUN
cana-997	19	17	level	level	NOUN
cana-997	19	18	rather	rather	ADV
cana-997	19	19	than	than	ADP
cana-997	19	20	at	at	ADP
cana-997	19	21	the	the	DET
cana-997	19	22	function	function	NOUN
cana-997	19	23	/	/	SYM
cana-997	19	24	method	method	NOUN
cana-997	19	25	/	/	SYM
cana-997	19	26	class	class	NOUN
cana-997	19	27	level	level	NOUN
cana-997	19	28	.	.	PUNCT
cana-997	20	1	proposed	propose	VERB
cana-997	20	2	approaches	approach	NOUN
cana-997	20	3	to	to	ADP
cana-997	20	4	vulnerability	vulnerability	NOUN
cana-997	20	5	prediction	prediction	NOUN
cana-997	20	6	include	include	VERB
cana-997	20	7	function	function	NOUN
cana-997	20	8	/	/	SYM
cana-997	20	9	method	method	NOUN
cana-997	20	10	/	/	SYM
cana-997	20	11	class	class	NOUN
cana-997	20	12	analysis	analysis	NOUN
cana-997	20	13	of	of	ADP
cana-997	20	14	software	software	NOUN
cana-997	20	15	systems	system	NOUN
cana-997	20	16	,	,	PUNCT
cana-997	20	17	which	which	PRON
cana-997	20	18	can	can	AUX
cana-997	20	19	provide	provide	VERB
cana-997	20	20	a	a	DET
cana-997	20	21	more	more	ADV
cana-997	20	22	granular	granular	ADJ
cana-997	20	23	level	level	NOUN
cana-997	20	24	of	of	ADP
cana-997	20	25	analysis	analysis	NOUN
cana-997	20	26	.	.	PUNCT
cana-997	21	1	by	by	ADP
cana-997	21	2	analyzing	analyze	VERB
cana-997	21	3	functions	function	NOUN
cana-997	21	4	/	/	SYM
cana-997	21	5	methods	method	NOUN
cana-997	21	6	/	/	SYM
cana-997	21	7	classes	class	NOUN
cana-997	21	8	,	,	PUNCT
cana-997	21	9	this	this	DET
cana-997	21	10	approach	approach	NOUN
cana-997	21	11	can	can	AUX
cana-997	21	12	identify	identify	VERB
cana-997	21	13	potential	potential	ADJ
cana-997	21	14	security	security	NOUN
cana-997	21	15	vulnerabilities	vulnerability	NOUN
cana-997	21	16	at	at	ADP
cana-997	21	17	a	a	DET
cana-997	21	18	more	more	ADV
cana-997	21	19	granular	granular	ADJ
cana-997	21	20	level	level	NOUN
cana-997	21	21	,	,	PUNCT
cana-997	21	22	thus	thus	ADV
cana-997	21	23	providing	provide	VERB
cana-997	21	24	a	a	DET
cana-997	21	25	better	well	ADJ
cana-997	21	26	understanding	understanding	NOUN
cana-997	21	27	of	of	ADP
cana-997	21	28	vulnerabilities	vulnerability	NOUN
cana-997	21	29	and	and	CCONJ
cana-997	21	30	their	their	PRON
cana-997	21	31	impact	impact	NOUN
cana-997	21	32	on	on	ADP
cana-997	21	33	software	software	NOUN
cana-997	21	34	systems	system	NOUN
cana-997	21	35	.	.	PUNCT
cana-997	22	1	this	this	DET
cana-997	22	2	approach	approach	NOUN
cana-997	22	3	uses	use	VERB
cana-997	22	4	static	static	ADJ
cana-997	22	5	communications	communication	NOUN
cana-997	22	6	on	on	ADP
cana-997	22	7	applied	apply	VERB
cana-997	22	8	nonlinear	nonlinear	ADJ
cana-997	22	9	analysis	analysis	NOUN
cana-997	22	10	issn	issn	NOUN
cana-997	22	11	:	:	PUNCT
cana-997	22	12	1074	1074	NUM
cana-997	22	13	-	-	PUNCT
cana-997	22	14	133x	133x	NUM
cana-997	22	15	vol	vol	NOUN
cana-997	22	16	31	31	NUM
cana-997	22	17	no	no	NOUN
cana-997	22	18	.	.	PUNCT
cana-997	23	1	5s	5s	NUM
cana-997	23	2	(	(	PUNCT
cana-997	23	3	2024	2024	NUM
cana-997	23	4	)	)	PUNCT
cana-997	23	5	26	26	NUM
cana-997	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	23	7	analysis	analysis	NOUN
cana-997	23	8	techniques	technique	NOUN
cana-997	23	9	to	to	PART
cana-997	23	10	extract	extract	VERB
cana-997	23	11	functionality	functionality	NOUN
cana-997	23	12	from	from	ADP
cana-997	23	13	functions	function	NOUN
cana-997	23	14	/	/	SYM
cana-997	23	15	methods	method	NOUN
cana-997	23	16	/	/	SYM
cana-997	23	17	classes	class	NOUN
cana-997	23	18	of	of	ADP
cana-997	23	19	a	a	DET
cana-997	23	20	software	software	NOUN
cana-997	23	21	system	system	NOUN
cana-997	23	22	.	.	PUNCT
cana-997	24	1	the	the	DET
cana-997	24	2	extracted	extract	VERB
cana-997	24	3	features	feature	NOUN
cana-997	24	4	are	be	AUX
cana-997	24	5	used	use	VERB
cana-997	24	6	to	to	PART
cana-997	24	7	train	train	VERB
cana-997	24	8	machine	machine	NOUN
cana-997	24	9	learning	learning	NOUN
cana-997	24	10	models	model	NOUN
cana-997	24	11	that	that	PRON
cana-997	24	12	can	can	AUX
cana-997	24	13	predict	predict	VERB
cana-997	24	14	potential	potential	ADJ
cana-997	24	15	security	security	NOUN
cana-997	24	16	vulnerabilities	vulnerability	NOUN
cana-997	24	17	.	.	PUNCT
cana-997	25	1	in	in	ADP
cana-997	25	2	this	this	DET
cana-997	25	3	research	research	NOUN
cana-997	25	4	paper	paper	NOUN
cana-997	25	5	,	,	PUNCT
cana-997	25	6	we	we	PRON
cana-997	25	7	present	present	VERB
cana-997	25	8	the	the	DET
cana-997	25	9	proposed	propose	VERB
cana-997	25	10	approach	approach	NOUN
cana-997	25	11	and	and	CCONJ
cana-997	25	12	evaluate	evaluate	VERB
cana-997	25	13	its	its	PRON
cana-997	25	14	effectiveness	effectiveness	NOUN
cana-997	25	15	using	use	VERB
cana-997	25	16	publicly	publicly	ADV
cana-997	25	17	available	available	ADJ
cana-997	25	18	datasets	dataset	NOUN
cana-997	25	19	.	.	PUNCT
cana-997	26	1	this	this	DET
cana-997	26	2	evaluation	evaluation	NOUN
cana-997	26	3	compares	compare	VERB
cana-997	26	4	the	the	DET
cana-997	26	5	performance	performance	NOUN
cana-997	26	6	of	of	ADP
cana-997	26	7	the	the	DET
cana-997	26	8	proposed	propose	VERB
cana-997	26	9	approach	approach	NOUN
cana-997	26	10	with	with	ADP
cana-997	26	11	other	other	ADJ
cana-997	26	12	vulnerability	vulnerability	NOUN
cana-997	26	13	prediction	prediction	NOUN
cana-997	26	14	approaches	approach	NOUN
cana-997	26	15	.	.	PUNCT
cana-997	27	1	the	the	DET
cana-997	27	2	results	result	NOUN
cana-997	27	3	show	show	VERB
cana-997	27	4	that	that	SCONJ
cana-997	27	5	the	the	DET
cana-997	27	6	proposed	propose	VERB
cana-997	27	7	approach	approach	NOUN
cana-997	27	8	is	be	AUX
cana-997	27	9	effective	effective	ADJ
cana-997	27	10	in	in	ADP
cana-997	27	11	predicting	predict	VERB
cana-997	27	12	potential	potential	ADJ
cana-997	27	13	security	security	NOUN
cana-997	27	14	vulnerabilities	vulnerability	NOUN
cana-997	27	15	in	in	ADP
cana-997	27	16	software	software	NOUN
cana-997	27	17	systems	system	NOUN
cana-997	27	18	.	.	PUNCT
cana-997	28	1	the	the	DET
cana-997	28	2	proposed	propose	VERB
cana-997	28	3	approach	approach	NOUN
cana-997	28	4	helps	help	VERB
cana-997	28	5	developers	developer	NOUN
cana-997	28	6	identify	identify	VERB
cana-997	28	7	potential	potential	ADJ
cana-997	28	8	security	security	NOUN
cana-997	28	9	vulnerabilities	vulnerability	NOUN
cana-997	28	10	early	early	ADV
cana-997	28	11	in	in	ADP
cana-997	28	12	the	the	DET
cana-997	28	13	software	software	NOUN
cana-997	28	14	development	development	NOUN
cana-997	28	15	lifecycle	lifecycle	NOUN
cana-997	28	16	,	,	PUNCT
cana-997	28	17	leading	lead	VERB
cana-997	28	18	to	to	ADP
cana-997	28	19	the	the	DET
cana-997	28	20	development	development	NOUN
cana-997	28	21	of	of	ADP
cana-997	28	22	more	more	ADV
cana-997	28	23	secure	secure	ADJ
cana-997	28	24	software	software	NOUN
cana-997	28	25	systems	system	NOUN
cana-997	28	26	.	.	PUNCT
cana-997	29	1	2	2	X
cana-997	29	2	.	.	X
cana-997	29	3	background	background	NOUN
cana-997	29	4	the	the	DET
cana-997	29	5	field	field	NOUN
cana-997	29	6	of	of	ADP
cana-997	29	7	vulnerability	vulnerability	NOUN
cana-997	29	8	prediction	prediction	NOUN
cana-997	29	9	has	have	AUX
cana-997	29	10	been	be	AUX
cana-997	29	11	the	the	DET
cana-997	29	12	subject	subject	NOUN
cana-997	29	13	of	of	ADP
cana-997	29	14	research	research	NOUN
cana-997	29	15	in	in	ADP
cana-997	29	16	the	the	DET
cana-997	29	17	software	software	NOUN
cana-997	29	18	engineering	engineering	NOUN
cana-997	29	19	community	community	NOUN
cana-997	29	20	for	for	ADP
cana-997	29	21	several	several	ADJ
cana-997	29	22	years	year	NOUN
cana-997	29	23	.	.	PUNCT
cana-997	30	1	various	various	ADJ
cana-997	30	2	approaches	approach	NOUN
cana-997	30	3	have	have	AUX
cana-997	30	4	been	be	AUX
cana-997	30	5	proposed	propose	VERB
cana-997	30	6	to	to	PART
cana-997	30	7	identify	identify	VERB
cana-997	30	8	potential	potential	ADJ
cana-997	30	9	security	security	NOUN
cana-997	30	10	vulnerabilities	vulnerability	NOUN
cana-997	30	11	in	in	ADP
cana-997	30	12	software	software	NOUN
cana-997	30	13	systems	system	NOUN
cana-997	30	14	.	.	PUNCT
cana-997	31	1	these	these	DET
cana-997	31	2	approaches	approach	NOUN
cana-997	31	3	fall	fall	VERB
cana-997	31	4	broadly	broadly	ADV
cana-997	31	5	into	into	ADP
cana-997	31	6	his	his	PRON
cana-997	31	7	two	two	NUM
cana-997	31	8	categories	category	NOUN
cana-997	31	9	:	:	PUNCT
cana-997	31	10	manual	manual	NOUN
cana-997	32	1	[	[	X
cana-997	32	2	1	1	NUM
cana-997	32	3	]	]	PUNCT
cana-997	32	4	and	and	CCONJ
cana-997	32	5	automatic	automatic	ADJ
cana-997	32	6	[	[	X
cana-997	32	7	2	2	NUM
cana-997	32	8	]	]	PUNCT
cana-997	32	9	.	.	PUNCT
cana-997	33	1	in	in	ADP
cana-997	33	2	manual	manual	ADJ
cana-997	33	3	approaches	approach	NOUN
cana-997	33	4	,	,	PUNCT
cana-997	33	5	human	human	ADJ
cana-997	33	6	experts	expert	NOUN
cana-997	33	7	review	review	VERB
cana-997	33	8	paper	paper	NOUN
cana-997	33	9	title	title	NOUN
cana-997	33	10	issue	issue	NOUN
cana-997	33	11	addressed	address	VERB
cana-997	33	12	performance	performance	NOUN
cana-997	33	13	analysis	analysis	NOUN
cana-997	33	14	of	of	ADP
cana-997	33	15	machine	machine	NOUN
cana-997	33	16	learning	learn	VERB
cana-997	33	17	algorithms	algorithm	NOUN
cana-997	33	18	for	for	ADP
cana-997	33	19	intrusion	intrusion	NOUN
cana-997	33	20	detection	detection	NOUN
cana-997	33	21	in	in	ADP
cana-997	33	22	cloud	cloud	NOUN
cana-997	33	23	computing	computing	NOUN
cana-997	33	24	,	,	PUNCT
cana-997	33	25	m.	m.	PROPN
cana-997	33	26	r.	r.	PROPN
cana-997	33	27	bhuyan	bhuyan	PROPN
cana-997	33	28	,	,	PUNCT
cana-997	33	29	s.	s.	PROPN
cana-997	33	30	c.	c.	PROPN
cana-997	33	31	satapathy	satapathy	PROPN
cana-997	33	32	,	,	PUNCT
cana-997	33	33	et	et	PROPN
cana-997	33	34	al	al	PROPN
cana-997	33	35	.	.	PUNCT
cana-997	34	1	[	[	X
cana-997	34	2	17	17	NUM
cana-997	34	3	]	]	PUNCT
cana-997	34	4	the	the	DET
cana-997	34	5	paper	paper	NOUN
cana-997	34	6	analyses	analyse	VERB
cana-997	34	7	the	the	DET
cana-997	34	8	performance	performance	NOUN
cana-997	34	9	of	of	ADP
cana-997	34	10	various	various	ADJ
cana-997	34	11	machine	machine	NOUN
cana-997	34	12	learning	learn	VERB
cana-997	34	13	algorithms	algorithm	NOUN
cana-997	34	14	for	for	ADP
cana-997	34	15	intrusion	intrusion	NOUN
cana-997	34	16	detection	detection	NOUN
cana-997	34	17	in	in	ADP
cana-997	34	18	cloud	cloud	NOUN
cana-997	34	19	computing	computing	NOUN
cana-997	34	20	environments	environment	NOUN
cana-997	34	21	.	.	PUNCT
cana-997	35	1	the	the	DET
cana-997	35	2	paper	paper	NOUN
cana-997	35	3	highlights	highlight	VERB
cana-997	35	4	the	the	DET
cana-997	35	5	limitations	limitation	NOUN
cana-997	35	6	of	of	ADP
cana-997	35	7	rule	rule	NOUN
cana-997	35	8	-	-	PUNCT
cana-997	35	9	based	base	VERB
cana-997	35	10	approaches	approach	NOUN
cana-997	35	11	and	and	CCONJ
cana-997	35	12	demonstrate	demonstrate	VERB
cana-997	35	13	that	that	SCONJ
cana-997	35	14	svm	svm	PROPN
cana-997	35	15	and	and	CCONJ
cana-997	35	16	ann	ann	PROPN
cana-997	35	17	algorithms	algorithm	NOUN
cana-997	35	18	outperform	outperform	VERB
cana-997	35	19	other	other	ADJ
cana-997	35	20	approaches	approach	NOUN
cana-997	35	21	when	when	SCONJ
cana-997	35	22	it	it	PRON
cana-997	35	23	comes	come	VERB
cana-997	35	24	to	to	ADP
cana-997	35	25	accuracy	accuracy	NOUN
cana-997	35	26	machine	machine	NOUN
cana-997	35	27	learning	learn	VERB
cana-997	35	28	techniques	technique	NOUN
cana-997	35	29	for	for	ADP
cana-997	35	30	software	software	NOUN
cana-997	35	31	defect	defect	NOUN
cana-997	35	32	prediction	prediction	NOUN
cana-997	35	33	,	,	PUNCT
cana-997	35	34	a.	a.	NOUN
cana-997	35	35	alghamdi	alghamdi	NOUN
cana-997	35	36	and	and	CCONJ
cana-997	35	37	a.	a.	NOUN
cana-997	35	38	nadeem	nadeem	PROPN
cana-997	36	1	[	[	X
cana-997	36	2	18	18	NUM
cana-997	36	3	]	]	PUNCT
cana-997	36	4	the	the	DET
cana-997	36	5	paper	paper	NOUN
cana-997	36	6	provides	provide	VERB
cana-997	36	7	an	an	DET
cana-997	36	8	overview	overview	NOUN
cana-997	36	9	of	of	ADP
cana-997	36	10	the	the	DET
cana-997	36	11	different	different	ADJ
cana-997	36	12	machine	machine	NOUN
cana-997	36	13	learning	learn	VERB
cana-997	36	14	techniques	technique	NOUN
cana-997	36	15	used	use	VERB
cana-997	36	16	for	for	ADP
cana-997	36	17	software	software	NOUN
cana-997	36	18	defect	defect	NOUN
cana-997	36	19	prediction	prediction	NOUN
cana-997	36	20	,	,	PUNCT
cana-997	36	21	such	such	ADJ
cana-997	36	22	as	as	ADP
cana-997	36	23	supervised	supervised	ADJ
cana-997	36	24	learning	learning	NOUN
cana-997	36	25	,	,	PUNCT
cana-997	36	26	unsupervised	unsupervised	ADJ
cana-997	36	27	learning	learning	NOUN
cana-997	36	28	and	and	CCONJ
cana-997	36	29	semi	semi	ADJ
cana-997	36	30	-	-	ADJ
cana-997	36	31	supervised	supervised	ADJ
cana-997	36	32	learning	learning	NOUN
cana-997	36	33	.	.	PUNCT
cana-997	37	1	they	they	PRON
cana-997	37	2	detail	detail	VERB
cana-997	37	3	each	each	DET
cana-997	37	4	type	type	NOUN
cana-997	37	5	's	's	PART
cana-997	37	6	associated	associate	VERB
cana-997	37	7	algorithms	algorithm	NOUN
cana-997	37	8	such	such	ADJ
cana-997	37	9	as	as	ADP
cana-997	37	10	decision	decision	NOUN
cana-997	37	11	trees	tree	NOUN
cana-997	37	12	,	,	PUNCT
cana-997	37	13	bayesian	bayesian	NOUN
cana-997	37	14	networks	network	NOUN
cana-997	37	15	,	,	PUNCT
cana-997	37	16	support	support	VERB
cana-997	37	17	vector	vector	NOUN
cana-997	37	18	machines	machine	NOUN
cana-997	37	19	and	and	CCONJ
cana-997	37	20	artificial	artificial	ADJ
cana-997	37	21	neural	neural	ADJ
cana-997	37	22	networks	network	NOUN
cana-997	37	23	vulnerable	vulnerable	ADJ
cana-997	37	24	code	code	NOUN
cana-997	37	25	detection	detection	NOUN
cana-997	37	26	using	use	VERB
cana-997	37	27	software	software	NOUN
cana-997	37	28	metrics	metric	NOUN
cana-997	37	29	and	and	CCONJ
cana-997	37	30	machine	machine	NOUN
cana-997	37	31	learning	learning	NOUN
cana-997	37	32	.	.	PUNCT
cana-997	38	1	n.	n.	PROPN
cana-997	38	2	medeiros	medeiros	PROPN
cana-997	38	3	,	,	PUNCT
cana-997	38	4	n.	n.	PROPN
cana-997	38	5	ivaki	ivaki	PROPN
cana-997	38	6	et	et	PROPN
cana-997	38	7	al	al	PROPN
cana-997	38	8	.	.	PUNCT
cana-997	39	1	[	[	X
cana-997	39	2	19	19	NUM
cana-997	39	3	]	]	PUNCT
cana-997	39	4	the	the	DET
cana-997	39	5	paper	paper	NOUN
cana-997	39	6	proposes	propose	VERB
cana-997	39	7	uses	use	NOUN
cana-997	39	8	of	of	ADP
cana-997	39	9	machine	machine	NOUN
cana-997	39	10	learning	learning	NOUN
cana-997	39	11	algorithms	algorithm	NOUN
cana-997	39	12	,	,	PUNCT
cana-997	39	13	such	such	ADJ
cana-997	39	14	as	as	ADP
cana-997	39	15	random	random	ADJ
cana-997	39	16	forest	forest	NOUN
cana-997	39	17	and	and	CCONJ
cana-997	39	18	decision	decision	NOUN
cana-997	39	19	tree	tree	NOUN
cana-997	39	20	,	,	PUNCT
cana-997	39	21	to	to	PART
cana-997	39	22	extract	extract	VERB
cana-997	39	23	vulnerability	vulnerability	NOUN
cana-997	39	24	-	-	PUNCT
cana-997	39	25	related	relate	VERB
cana-997	39	26	knowledge	knowledge	NOUN
cana-997	39	27	from	from	ADP
cana-997	39	28	software	software	NOUN
cana-997	39	29	metrics	metric	NOUN
cana-997	39	30	collected	collect	VERB
cana-997	39	31	from	from	ADP
cana-997	39	32	the	the	DET
cana-997	39	33	source	source	NOUN
cana-997	39	34	code	code	NOUN
cana-997	39	35	of	of	ADP
cana-997	39	36	various	various	ADJ
cana-997	39	37	software	software	NOUN
cana-997	39	38	projects	project	NOUN
cana-997	39	39	developed	develop	VERB
cana-997	39	40	in	in	ADP
cana-997	39	41	c	c	NOUN
cana-997	39	42	/	/	SYM
cana-997	39	43	c++	c++	NOUN
cana-997	39	44	deep	deep	ADJ
cana-997	39	45	learning	learning	NOUN
cana-997	39	46	for	for	ADP
cana-997	39	47	software	software	NOUN
cana-997	39	48	vulnerabilities	vulnerability	NOUN
cana-997	39	49	detection	detection	NOUN
cana-997	39	50	utilizing	utilize	VERB
cana-997	39	51	code	code	NOUN
cana-997	39	52	metrics	metric	NOUN
cana-997	39	53	.	.	PUNCT
cana-997	40	1	m.	m.	NOUN
cana-997	40	2	zagane	zagane	PROPN
cana-997	40	3	et	et	PROPN
cana-997	40	4	al	al	PROPN
cana-997	40	5	.	.	PUNCT
cana-997	41	1	[	[	X
cana-997	41	2	20	20	NUM
cana-997	41	3	]	]	ADJ
cana-997	41	4	paper	paper	NOUN
cana-997	41	5	includes	include	VERB
cana-997	41	6	deep	deep	ADJ
cana-997	41	7	learning	learning	NOUN
cana-997	41	8	techniques	technique	NOUN
cana-997	41	9	to	to	PART
cana-997	41	10	software	software	VERB
cana-997	41	11	vulnerability	vulnerability	NOUN
cana-997	41	12	detection	detection	NOUN
cana-997	41	13	.	.	PUNCT
cana-997	42	1	by	by	ADP
cana-997	42	2	using	use	VERB
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cana-997	42	4	metrics	metric	NOUN
cana-997	42	5	as	as	ADP
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cana-997	42	7	and	and	CCONJ
cana-997	42	8	exploring	explore	VERB
cana-997	42	9	various	various	ADJ
cana-997	42	10	deep	deep	ADJ
cana-997	42	11	learning	learning	NOUN
cana-997	42	12	architectures	architecture	NOUN
cana-997	42	13	,	,	PUNCT
cana-997	42	14	the	the	DET
cana-997	42	15	authors	author	NOUN
cana-997	42	16	demonstrate	demonstrate	VERB
cana-997	42	17	how	how	SCONJ
cana-997	42	18	code	code	NOUN
cana-997	42	19	metrics	metric	NOUN
cana-997	42	20	can	can	AUX
cana-997	42	21	improve	improve	VERB
cana-997	42	22	accuracy	accuracy	NOUN
cana-997	42	23	and	and	CCONJ
cana-997	42	24	scalability	scalability	NOUN
cana-997	42	25	of	of	ADP
cana-997	42	26	vulnerability	vulnerability	NOUN
cana-997	42	27	detection	detection	NOUN
cana-997	42	28	models	model	NOUN
cana-997	42	29	detecting	detect	VERB
cana-997	42	30	and	and	CCONJ
cana-997	42	31	removing	remove	VERB
cana-997	42	32	web	web	NOUN
cana-997	42	33	application	application	NOUN
cana-997	42	34	vulnerabilities	vulnerability	NOUN
cana-997	42	35	with	with	ADP
cana-997	42	36	static	static	ADJ
cana-997	42	37	analysis	analysis	NOUN
cana-997	42	38	and	and	CCONJ
cana-997	42	39	data	datum	NOUN
cana-997	42	40	mining	mining	NOUN
cana-997	42	41	.	.	PUNCT
cana-997	43	1	i.	i.	PROPN
cana-997	43	2	medeiros	medeiros	PROPN
cana-997	43	3	et	et	PROPN
cana-997	43	4	al	al	PROPN
cana-997	43	5	.	.	PUNCT
cana-997	44	1	[	[	X
cana-997	44	2	21	21	NUM
cana-997	44	3	]	]	PUNCT
cana-997	44	4	the	the	DET
cana-997	44	5	paper	paper	NOUN
cana-997	44	6	proposes	propose	VERB
cana-997	44	7	a	a	DET
cana-997	44	8	novel	novel	ADJ
cana-997	44	9	approach	approach	NOUN
cana-997	44	10	that	that	PRON
cana-997	44	11	incorporates	incorporate	VERB
cana-997	44	12	static	static	ADJ
cana-997	44	13	analysis	analysis	NOUN
cana-997	44	14	and	and	CCONJ
cana-997	44	15	data	data	NOUN
cana-997	44	16	mining	mining	NOUN
cana-997	44	17	techniques	technique	NOUN
cana-997	44	18	to	to	PART
cana-997	44	19	increase	increase	VERB
cana-997	44	20	the	the	DET
cana-997	44	21	accuracy	accuracy	NOUN
cana-997	44	22	and	and	CCONJ
cana-997	44	23	efficiency	efficiency	NOUN
cana-997	44	24	of	of	ADP
cana-997	44	25	vulnerability	vulnerability	NOUN
cana-997	44	26	detection	detection	NOUN
cana-997	44	27	.	.	PUNCT
cana-997	45	1	a	a	DET
cana-997	45	2	comparative	comparative	ADJ
cana-997	45	3	study	study	NOUN
cana-997	45	4	of	of	ADP
cana-997	45	5	deep	deep	ADJ
cana-997	45	6	learning	learning	NOUN
cana-997	45	7	-	-	PUNCT
cana-997	45	8	based	base	VERB
cana-997	45	9	vulnerability	vulnerability	NOUN
cana-997	45	10	detection	detection	NOUN
cana-997	45	11	system	system	NOUN
cana-997	45	12	.	.	PUNCT
cana-997	46	1	z.	z.	PROPN
cana-997	46	2	li	li	PROPN
cana-997	46	3	,	,	PUNCT
cana-997	46	4	d.	d.	PROPN
cana-997	46	5	zou	zou	PROPN
cana-997	46	6	et	et	PROPN
cana-997	46	7	al	al	PROPN
cana-997	46	8	.	.	PUNCT
cana-997	47	1	[	[	X
cana-997	47	2	22	22	NUM
cana-997	47	3	]	]	PUNCT
cana-997	47	4	the	the	DET
cana-997	47	5	authors	author	NOUN
cana-997	47	6	compare	compare	VERB
cana-997	47	7	the	the	DET
cana-997	47	8	performance	performance	NOUN
cana-997	47	9	of	of	ADP
cana-997	47	10	several	several	ADJ
cana-997	47	11	deep	deep	ADJ
cana-997	47	12	learning	learning	NOUN
cana-997	47	13	-	-	PUNCT
cana-997	47	14	based	base	VERB
cana-997	47	15	vulnerability	vulnerability	NOUN
cana-997	47	16	detection	detection	NOUN
cana-997	47	17	systems	system	NOUN
cana-997	47	18	on	on	ADP
cana-997	47	19	the	the	DET
cana-997	47	20	dataset	dataset	NOUN
cana-997	47	21	using	use	VERB
cana-997	47	22	various	various	ADJ
cana-997	47	23	evaluation	evaluation	NOUN
cana-997	47	24	metrics	metric	NOUN
cana-997	47	25	such	such	ADJ
cana-997	47	26	as	as	ADP
cana-997	47	27	accuracy	accuracy	NOUN
cana-997	47	28	,	,	PUNCT
cana-997	47	29	precision	precision	NOUN
cana-997	47	30	,	,	PUNCT
cana-997	47	31	recall	recall	NOUN
cana-997	47	32	,	,	PUNCT
cana-997	47	33	and	and	CCONJ
cana-997	47	34	f1	f1	NOUN
cana-997	47	35	score	score	NOUN
cana-997	47	36	techniques	technique	NOUN
cana-997	47	37	and	and	CCONJ
cana-997	47	38	tools	tool	NOUN
cana-997	47	39	for	for	ADP
cana-997	47	40	advanced	advanced	ADJ
cana-997	47	41	software	software	NOUN
cana-997	47	42	vulnerability	vulnerability	NOUN
cana-997	47	43	detection	detection	NOUN
cana-997	47	44	.	.	PUNCT
cana-997	48	1	j.	j.	PROPN
cana-997	48	2	d.	d.	PROPN
cana-997	48	3	pereira	pereira	PROPN
cana-997	48	4	.	.	PUNCT
cana-997	49	1	[	[	X
cana-997	49	2	23	23	NUM
cana-997	49	3	]	]	PUNCT
cana-997	49	4	this	this	DET
cana-997	49	5	paper	paper	NOUN
cana-997	49	6	provides	provide	VERB
cana-997	49	7	an	an	DET
cana-997	49	8	overview	overview	NOUN
cana-997	49	9	of	of	ADP
cana-997	49	10	various	various	ADJ
cana-997	49	11	advanced	advanced	ADJ
cana-997	49	12	techniques	technique	NOUN
cana-997	49	13	for	for	ADP
cana-997	49	14	vulnerability	vulnerability	NOUN
cana-997	49	15	detection	detection	NOUN
cana-997	49	16	,	,	PUNCT
cana-997	49	17	such	such	ADJ
cana-997	49	18	as	as	ADP
cana-997	49	19	static	static	ADJ
cana-997	49	20	analysis	analysis	NOUN
cana-997	49	21	,	,	PUNCT
cana-997	49	22	dynamic	dynamic	ADJ
cana-997	49	23	analysis	analysis	NOUN
cana-997	49	24	,	,	PUNCT
cana-997	49	25	fuzz	fuzz	NOUN
cana-997	49	26	testing	testing	NOUN
cana-997	49	27	and	and	CCONJ
cana-997	49	28	symbolic	symbolic	ADJ
cana-997	49	29	execution	execution	NOUN
cana-997	49	30	.	.	PUNCT
cana-997	50	1	each	each	DET
cana-997	50	2	technique	technique	NOUN
cana-997	50	3	is	be	AUX
cana-997	50	4	discussed	discuss	VERB
cana-997	50	5	in	in	ADP
cana-997	50	6	detail	detail	NOUN
cana-997	50	7	along	along	ADP
cana-997	50	8	with	with	ADP
cana-997	50	9	its	its	PRON
cana-997	50	10	strengths	strength	NOUN
cana-997	50	11	and	and	CCONJ
cana-997	50	12	weaknesses	weaknesse	VERB
cana-997	50	13	an	an	DET
cana-997	50	14	empirical	empirical	ADJ
cana-997	50	15	study	study	NOUN
cana-997	50	16	on	on	ADP
cana-997	50	17	vulnerability	vulnerability	NOUN
cana-997	50	18	detection	detection	NOUN
cana-997	50	19	for	for	ADP
cana-997	50	20	source	source	NOUN
cana-997	50	21	code	code	NOUN
cana-997	50	22	software	software	NOUN
cana-997	50	23	based	base	VERB
cana-997	50	24	on	on	ADP
cana-997	50	25	deep	deep	ADJ
cana-997	50	26	learning	learning	NOUN
cana-997	50	27	.	.	PUNCT
cana-997	51	1	w.	w.	PROPN
cana-997	51	2	lin	lin	PROPN
cana-997	51	3	and	and	CCONJ
cana-997	51	4	s.	s.	PROPN
cana-997	51	5	cai	cai	PROPN
cana-997	52	1	[	[	X
cana-997	52	2	24	24	NUM
cana-997	52	3	]	]	PUNCT
cana-997	52	4	this	this	DET
cana-997	52	5	paper	paper	NOUN
cana-997	52	6	presents	present	VERB
cana-997	52	7	the	the	DET
cana-997	52	8	results	result	NOUN
cana-997	52	9	of	of	ADP
cana-997	52	10	an	an	DET
cana-997	52	11	empirical	empirical	ADJ
cana-997	52	12	evaluation	evaluation	NOUN
cana-997	52	13	of	of	ADP
cana-997	52	14	the	the	DET
cana-997	52	15	proposed	propose	VERB
cana-997	52	16	approach	approach	NOUN
cana-997	52	17	on	on	ADP
cana-997	52	18	a	a	DET
cana-997	52	19	set	set	NOUN
cana-997	52	20	of	of	ADP
cana-997	52	21	real	real	ADJ
cana-997	52	22	-	-	PUNCT
cana-997	52	23	world	world	NOUN
cana-997	52	24	software	software	NOUN
cana-997	52	25	projects	project	NOUN
cana-997	52	26	.	.	PUNCT
cana-997	53	1	the	the	DET
cana-997	53	2	evaluation	evaluation	NOUN
cana-997	53	3	demonstrates	demonstrate	VERB
cana-997	53	4	high	high	ADJ
cana-997	53	5	accuracy	accuracy	NOUN
cana-997	53	6	in	in	ADP
cana-997	53	7	detecting	detect	VERB
cana-997	53	8	vulnerabilities	vulnerability	NOUN
cana-997	53	9	with	with	ADP
cana-997	53	10	a	a	DET
cana-997	53	11	low	low	ADJ
cana-997	53	12	false	false	ADJ
cana-997	53	13	positive	positive	ADJ
cana-997	53	14	rate	rate	NOUN
cana-997	53	15	and	and	CCONJ
cana-997	53	16	high	high	ADJ
cana-997	53	17	recall	recall	NOUN
cana-997	53	18	rate	rate	NOUN
cana-997	53	19	.	.	PUNCT
cana-997	54	1	the	the	DET
cana-997	54	2	secret	secret	ADJ
cana-997	54	3	life	life	NOUN
cana-997	54	4	of	of	ADP
cana-997	54	5	software	software	NOUN
cana-997	54	6	vulnerabilities	vulnerabilitie	VERB
cana-997	54	7	:	:	PUNCT
cana-997	54	8	a	a	DET
cana-997	54	9	large	large	ADJ
cana-997	54	10	-	-	PUNCT
cana-997	54	11	scale	scale	NOUN
cana-997	54	12	empirical	empirical	ADJ
cana-997	54	13	study	study	NOUN
cana-997	54	14	.	.	PUNCT
cana-997	55	1	e.	e.	PROPN
cana-997	55	2	iannone	iannone	PROPN
cana-997	55	3	,	,	PUNCT
cana-997	55	4	r.	r.	PROPN
cana-997	55	5	guadagni	guadagni	PROPN
cana-997	55	6	et	et	PROPN
cana-997	55	7	al	al	PROPN
cana-997	55	8	.	.	PUNCT
cana-997	56	1	[	[	X
cana-997	56	2	25	25	NUM
cana-997	56	3	]	]	PUNCT
cana-997	56	4	the	the	DET
cana-997	56	5	authors	author	NOUN
cana-997	56	6	emphasize	emphasize	VERB
cana-997	56	7	the	the	DET
cana-997	56	8	significance	significance	NOUN
cana-997	56	9	of	of	ADP
cana-997	56	10	software	software	NOUN
cana-997	56	11	defect	defect	NOUN
cana-997	56	12	prediction	prediction	NOUN
cana-997	56	13	in	in	ADP
cana-997	56	14	software	software	NOUN
cana-997	56	15	engineering	engineering	NOUN
cana-997	56	16	,	,	PUNCT
cana-997	56	17	as	as	SCONJ
cana-997	56	18	errors	error	NOUN
cana-997	56	19	can	can	AUX
cana-997	56	20	have	have	VERB
cana-997	56	21	detrimental	detrimental	ADJ
cana-997	56	22	effects	effect	NOUN
cana-997	56	23	on	on	ADP
cana-997	56	24	quality	quality	NOUN
cana-997	56	25	,	,	PUNCT
cana-997	56	26	user	user	NOUN
cana-997	56	27	satisfaction	satisfaction	NOUN
cana-997	56	28	and	and	CCONJ
cana-997	56	29	project	project	NOUN
cana-997	56	30	costs	cost	NOUN
cana-997	56	31	and	and	CCONJ
cana-997	56	32	timeline	timeline	NOUN
cana-997	56	33	.	.	PUNCT
cana-997	57	1	machine	machine	NOUN
cana-997	57	2	learning	learn	VERB
cana-997	57	3	techniques	technique	NOUN
cana-997	57	4	offer	offer	VERB
cana-997	57	5	an	an	DET
cana-997	57	6	effective	effective	ADJ
cana-997	57	7	and	and	CCONJ
cana-997	57	8	efficient	efficient	ADJ
cana-997	57	9	means	mean	NOUN
cana-997	57	10	for	for	ADP
cana-997	57	11	predicting	predict	VERB
cana-997	57	12	software	software	NOUN
cana-997	57	13	defects	defect	NOUN
cana-997	57	14	,	,	PUNCT
cana-997	57	15	enabling	enable	VERB
cana-997	57	16	developers	developer	NOUN
cana-997	57	17	to	to	PART
cana-997	57	18	proactively	proactively	ADV
cana-997	57	19	detect	detect	VERB
cana-997	57	20	and	and	CCONJ
cana-997	57	21	address	address	VERB
cana-997	57	22	potential	potential	ADJ
cana-997	57	23	issues	issue	NOUN
cana-997	57	24	before	before	SCONJ
cana-997	57	25	they	they	PRON
cana-997	57	26	arise	arise	VERB
cana-997	57	27	.	.	PUNCT
cana-997	58	1	communications	communication	NOUN
cana-997	58	2	on	on	ADP
cana-997	58	3	applied	apply	VERB
cana-997	58	4	nonlinear	nonlinear	ADJ
cana-997	58	5	analysis	analysis	NOUN
cana-997	58	6	issn	issn	NOUN
cana-997	58	7	:	:	PUNCT
cana-997	58	8	1074	1074	NUM
cana-997	58	9	-	-	PUNCT
cana-997	58	10	133x	133x	NUM
cana-997	58	11	vol	vol	NOUN
cana-997	58	12	31	31	NUM
cana-997	58	13	no	no	NOUN
cana-997	58	14	.	.	PUNCT
cana-997	59	1	5s	5s	NUM
cana-997	59	2	(	(	PUNCT
cana-997	59	3	2024	2024	NUM
cana-997	59	4	)	)	PUNCT
cana-997	59	5	27	27	NUM
cana-997	59	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	59	7	analyzing	analyze	VERB
cana-997	59	8	software	software	NOUN
cana-997	59	9	vulnerabilities	vulnerability	NOUN
cana-997	59	10	using	use	VERB
cana-997	59	11	machine	machine	NOUN
cana-997	59	12	learning	learning	NOUN
cana-997	59	13	,	,	PUNCT
cana-997	59	14	b.	b.	PROPN
cana-997	59	15	peerzada	peerzada	PROPN
cana-997	59	16	and	and	CCONJ
cana-997	59	17	d.	d.	PROPN
cana-997	59	18	kumar	kumar	PROPN
cana-997	60	1	[	[	X
cana-997	60	2	26	26	NUM
cana-997	60	3	]	]	PUNCT
cana-997	60	4	the	the	DET
cana-997	60	5	study	study	NOUN
cana-997	60	6	uses	use	VERB
cana-997	60	7	machine	machine	NOUN
cana-997	60	8	learning	learning	NOUN
cana-997	60	9	algorithms	algorithm	NOUN
cana-997	60	10	,	,	PUNCT
cana-997	60	11	such	such	ADJ
cana-997	60	12	as	as	ADP
cana-997	60	13	random	random	ADJ
cana-997	60	14	forest	forest	NOUN
cana-997	60	15	and	and	CCONJ
cana-997	60	16	decision	decision	NOUN
cana-997	60	17	tree	tree	NOUN
cana-997	60	18	,	,	PUNCT
cana-997	60	19	to	to	PART
cana-997	60	20	extract	extract	VERB
cana-997	60	21	vulnerability	vulnerability	NOUN
cana-997	60	22	-	-	PUNCT
cana-997	60	23	related	relate	VERB
cana-997	60	24	knowledge	knowledge	NOUN
cana-997	60	25	from	from	ADP
cana-997	60	26	software	software	NOUN
cana-997	60	27	metrics	metric	NOUN
cana-997	60	28	collected	collect	VERB
cana-997	60	29	from	from	ADP
cana-997	60	30	the	the	DET
cana-997	60	31	source	source	NOUN
cana-997	60	32	code	code	NOUN
cana-997	60	33	of	of	ADP
cana-997	60	34	various	various	ADJ
cana-997	60	35	software	software	NOUN
cana-997	60	36	projects	project	NOUN
cana-997	60	37	developed	develop	VERB
cana-997	60	38	in	in	ADP
cana-997	60	39	c	c	NOUN
cana-997	60	40	/	/	SYM
cana-997	60	41	c++	c++	NOUN
cana-997	60	42	.	.	PUNCT
cana-997	61	1	these	these	DET
cana-997	61	2	projects	project	NOUN
cana-997	61	3	include	include	VERB
cana-997	61	4	mozilla	mozilla	NOUN
cana-997	61	5	firefox	firefox	PROPN
cana-997	61	6	,	,	PUNCT
cana-997	61	7	linux	linux	PROPN
cana-997	61	8	kernel	kernel	PROPN
cana-997	61	9	,	,	PUNCT
cana-997	61	10	apache	apache	NOUN
cana-997	61	11	httpd	httpd	PROPN
cana-997	61	12	,	,	PUNCT
cana-997	61	13	xen	xen	PROPN
cana-997	61	14	,	,	PUNCT
cana-997	61	15	and	and	CCONJ
cana-997	61	16	glibc	glibc	PROPN
cana-997	61	17	.	.	PUNCT
cana-997	61	18	table	table	NOUN
cana-997	61	19	1	1	NUM
cana-997	61	20	:	:	PUNCT
cana-997	61	21	comparison	comparison	NOUN
cana-997	61	22	table	table	NOUN
cana-997	61	23	of	of	ADP
cana-997	61	24	various	various	ADJ
cana-997	61	25	research	research	NOUN
cana-997	61	26	papers	paper	NOUN
cana-997	61	27	software	software	NOUN
cana-997	61	28	code	code	NOUN
cana-997	61	29	and	and	CCONJ
cana-997	61	30	identify	identify	VERB
cana-997	61	31	potential	potential	ADJ
cana-997	61	32	security	security	NOUN
cana-997	61	33	vulnerabilities	vulnerability	NOUN
cana-997	61	34	.	.	PUNCT
cana-997	62	1	this	this	DET
cana-997	62	2	approach	approach	NOUN
cana-997	62	3	is	be	AUX
cana-997	62	4	time	time	NOUN
cana-997	62	5	consuming	consume	VERB
cana-997	62	6	,	,	PUNCT
cana-997	62	7	labor	labor	NOUN
cana-997	62	8	intensive	intensive	ADJ
cana-997	62	9	,	,	PUNCT
cana-997	62	10	and	and	CCONJ
cana-997	62	11	impractical	impractical	ADJ
cana-997	62	12	for	for	ADP
cana-997	62	13	large	large	ADJ
cana-997	62	14	software	software	NOUN
cana-997	62	15	systems	system	NOUN
cana-997	62	16	.	.	PUNCT
cana-997	63	1	moreover	moreover	ADV
cana-997	63	2	,	,	PUNCT
cana-997	63	3	the	the	DET
cana-997	63	4	accuracy	accuracy	NOUN
cana-997	63	5	of	of	ADP
cana-997	63	6	manual	manual	ADJ
cana-997	63	7	approaches	approach	NOUN
cana-997	63	8	often	often	ADV
cana-997	63	9	depends	depend	VERB
cana-997	63	10	on	on	ADP
cana-997	63	11	the	the	DET
cana-997	63	12	expertise	expertise	NOUN
cana-997	63	13	of	of	ADP
cana-997	63	14	reviewers	reviewer	NOUN
cana-997	63	15	.	.	PUNCT
cana-997	64	1	automated	automate	VERB
cana-997	64	2	approaches	approach	NOUN
cana-997	64	3	use	use	VERB
cana-997	64	4	software	software	NOUN
cana-997	64	5	tools	tool	NOUN
cana-997	64	6	to	to	PART
cana-997	64	7	identify	identify	VERB
cana-997	64	8	potential	potential	ADJ
cana-997	64	9	security	security	NOUN
cana-997	64	10	vulnerabilities	vulnerability	NOUN
cana-997	64	11	in	in	ADP
cana-997	64	12	software	software	NOUN
cana-997	64	13	systems	system	NOUN
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cana-997	65	1	these	these	DET
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cana-997	65	4	be	be	AUX
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cana-997	65	6	classified	classify	VERB
cana-997	65	7	into	into	ADP
cana-997	65	8	two	two	NUM
cana-997	65	9	subcategories	subcategorie	NOUN
cana-997	65	10	:	:	PUNCT
cana-997	65	11	static	static	ADJ
cana-997	65	12	and	and	CCONJ
cana-997	65	13	dynamic	dynamic	ADJ
cana-997	65	14	analysis	analysis	NOUN
cana-997	65	15	[	[	X
cana-997	65	16	9	9	NUM
cana-997	65	17	]	]	PUNCT
cana-997	65	18	.	.	PUNCT
cana-997	66	1	static	static	ADJ
cana-997	66	2	analysis	analysis	NOUN
cana-997	66	3	[	[	X
cana-997	66	4	3	3	X
cana-997	66	5	]	]	SYM
cana-997	66	6	analyzes	analyze	VERB
cana-997	66	7	software	software	NOUN
cana-997	66	8	code	code	NOUN
cana-997	66	9	without	without	ADP
cana-997	66	10	executing	execute	VERB
cana-997	66	11	it	it	PRON
cana-997	66	12	,	,	PUNCT
cana-997	66	13	while	while	SCONJ
cana-997	66	14	dynamic	dynamic	ADJ
cana-997	66	15	analysis	analysis	NOUN
cana-997	66	16	[	[	X
cana-997	66	17	8	8	NUM
cana-997	66	18	]	]	SYM
cana-997	66	19	analyzes	analyze	VERB
cana-997	66	20	software	software	NOUN
cana-997	66	21	code	code	NOUN
cana-997	66	22	at	at	ADP
cana-997	66	23	runtime	runtime	NOUN
cana-997	66	24	.	.	PUNCT
cana-997	67	1	most	most	ADJ
cana-997	67	2	existing	exist	VERB
cana-997	67	3	approaches	approach	NOUN
cana-997	67	4	to	to	ADP
cana-997	67	5	vulnerability	vulnerability	NOUN
cana-997	67	6	prediction	prediction	NOUN
cana-997	67	7	focus	focus	NOUN
cana-997	67	8	on	on	ADP
cana-997	67	9	predicting	predict	VERB
cana-997	67	10	vulnerabilities	vulnerability	NOUN
cana-997	67	11	at	at	ADP
cana-997	67	12	the	the	DET
cana-997	67	13	source	source	NOUN
cana-997	67	14	code	code	NOUN
cana-997	67	15	level	level	NOUN
cana-997	67	16	.	.	PUNCT
cana-997	68	1	these	these	DET
cana-997	68	2	approaches	approach	NOUN
cana-997	68	3	use	use	VERB
cana-997	68	4	static	static	ADJ
cana-997	68	5	analysis	analysis	NOUN
cana-997	68	6	techniques	technique	NOUN
cana-997	68	7	to	to	PART
cana-997	68	8	extract	extract	VERB
cana-997	68	9	features	feature	NOUN
cana-997	68	10	from	from	ADP
cana-997	68	11	software	software	NOUN
cana-997	68	12	code	code	NOUN
cana-997	68	13	and	and	CCONJ
cana-997	68	14	train	train	NOUN
cana-997	68	15	machine	machine	NOUN
cana-997	68	16	learning	learning	NOUN
cana-997	68	17	models	model	NOUN
cana-997	68	18	to	to	PART
cana-997	68	19	predict	predict	VERB
cana-997	68	20	potential	potential	ADJ
cana-997	68	21	security	security	NOUN
cana-997	68	22	vulnerabilities	vulnerability	NOUN
cana-997	68	23	.	.	PUNCT
cana-997	69	1	however	however	ADV
cana-997	69	2	,	,	PUNCT
cana-997	69	3	source	source	NOUN
cana-997	69	4	codelevel	codelevel	NOUN
cana-997	69	5	approaches	approach	NOUN
cana-997	69	6	may	may	AUX
cana-997	69	7	not	not	PART
cana-997	69	8	be	be	AUX
cana-997	69	9	sufficient	sufficient	ADJ
cana-997	69	10	to	to	PART
cana-997	69	11	identify	identify	VERB
cana-997	69	12	all	all	DET
cana-997	69	13	potential	potential	ADJ
cana-997	69	14	security	security	NOUN
cana-997	69	15	vulnerabilities	vulnerability	NOUN
cana-997	69	16	in	in	ADP
cana-997	69	17	software	software	NOUN
cana-997	69	18	systems	system	NOUN
cana-997	69	19	.	.	PUNCT
cana-997	70	1	the	the	DET
cana-997	70	2	proposed	propose	VERB
cana-997	70	3	approach	approach	NOUN
cana-997	70	4	focuses	focus	VERB
cana-997	70	5	on	on	ADP
cana-997	70	6	analyzing	analyze	VERB
cana-997	70	7	functions	function	NOUN
cana-997	70	8	/	/	SYM
cana-997	70	9	methods	method	NOUN
cana-997	70	10	/	/	SYM
cana-997	70	11	classes	class	NOUN
cana-997	70	12	of	of	ADP
cana-997	70	13	software	software	NOUN
cana-997	70	14	systems	system	NOUN
cana-997	70	15	,	,	PUNCT
cana-997	70	16	which	which	PRON
cana-997	70	17	can	can	AUX
cana-997	70	18	provide	provide	VERB
cana-997	70	19	a	a	DET
cana-997	70	20	more	more	ADV
cana-997	70	21	detailed	detailed	ADJ
cana-997	70	22	level	level	NOUN
cana-997	70	23	of	of	ADP
cana-997	70	24	analysis	analysis	NOUN
cana-997	70	25	.	.	PUNCT
cana-997	71	1	by	by	ADP
cana-997	71	2	analyzing	analyze	VERB
cana-997	71	3	functions	function	NOUN
cana-997	71	4	/	/	SYM
cana-997	71	5	methods	method	NOUN
cana-997	71	6	/	/	SYM
cana-997	71	7	classes	class	NOUN
cana-997	71	8	,	,	PUNCT
cana-997	71	9	this	this	DET
cana-997	71	10	approach	approach	NOUN
cana-997	71	11	can	can	AUX
cana-997	71	12	identify	identify	VERB
cana-997	71	13	potential	potential	ADJ
cana-997	71	14	security	security	NOUN
cana-997	71	15	vulnerabilities	vulnerability	NOUN
cana-997	71	16	at	at	ADP
cana-997	71	17	a	a	DET
cana-997	71	18	more	more	ADV
cana-997	71	19	granular	granular	ADJ
cana-997	71	20	level	level	NOUN
cana-997	71	21	,	,	PUNCT
cana-997	71	22	thus	thus	ADV
cana-997	71	23	providing	provide	VERB
cana-997	71	24	a	a	DET
cana-997	71	25	better	well	ADJ
cana-997	71	26	understanding	understanding	NOUN
cana-997	71	27	of	of	ADP
cana-997	71	28	vulnerabilities	vulnerability	NOUN
cana-997	71	29	and	and	CCONJ
cana-997	71	30	their	their	PRON
cana-997	71	31	impact	impact	NOUN
cana-997	71	32	on	on	ADP
cana-997	71	33	software	software	NOUN
cana-997	71	34	systems	system	NOUN
cana-997	71	35	.	.	PUNCT
cana-997	72	1	this	this	DET
cana-997	72	2	approach	approach	NOUN
cana-997	72	3	uses	use	VERB
cana-997	72	4	static	static	ADJ
cana-997	72	5	analysis	analysis	NOUN
cana-997	72	6	techniques	technique	NOUN
cana-997	72	7	to	to	PART
cana-997	72	8	extract	extract	VERB
cana-997	72	9	functionality	functionality	NOUN
cana-997	72	10	from	from	ADP
cana-997	72	11	functions	function	NOUN
cana-997	72	12	/	/	SYM
cana-997	72	13	methods	method	NOUN
cana-997	72	14	/	/	SYM
cana-997	72	15	classes	class	NOUN
cana-997	72	16	of	of	ADP
cana-997	72	17	a	a	DET
cana-997	72	18	software	software	NOUN
cana-997	72	19	system	system	NOUN
cana-997	72	20	.	.	PUNCT
cana-997	73	1	the	the	DET
cana-997	73	2	extracted	extract	VERB
cana-997	73	3	features	feature	NOUN
cana-997	73	4	are	be	AUX
cana-997	73	5	used	use	VERB
cana-997	73	6	to	to	PART
cana-997	73	7	train	train	VERB
cana-997	73	8	machine	machine	NOUN
cana-997	73	9	learning	learning	NOUN
cana-997	73	10	models	model	NOUN
cana-997	73	11	that	that	PRON
cana-997	73	12	can	can	AUX
cana-997	73	13	predict	predict	VERB
cana-997	73	14	potential	potential	ADJ
cana-997	73	15	security	security	NOUN
cana-997	73	16	vulnerabilities	vulnerability	NOUN
cana-997	73	17	.	.	PUNCT
cana-997	74	1	overall	overall	ADV
cana-997	74	2	,	,	PUNCT
cana-997	74	3	vulnerability	vulnerability	NOUN
cana-997	74	4	prediction	prediction	NOUN
cana-997	74	5	is	be	AUX
cana-997	74	6	an	an	DET
cana-997	74	7	important	important	ADJ
cana-997	74	8	aspect	aspect	NOUN
cana-997	74	9	of	of	ADP
cana-997	74	10	software	software	NOUN
cana-997	74	11	security	security	NOUN
cana-997	74	12	,	,	PUNCT
cana-997	74	13	and	and	CCONJ
cana-997	74	14	the	the	DET
cana-997	74	15	proposed	propose	VERB
cana-997	74	16	approach	approach	NOUN
cana-997	74	17	can	can	AUX
cana-997	74	18	provide	provide	VERB
cana-997	74	19	a	a	DET
cana-997	74	20	more	more	ADV
cana-997	74	21	effective	effective	ADJ
cana-997	74	22	method	method	NOUN
cana-997	74	23	for	for	ADP
cana-997	74	24	identifying	identify	VERB
cana-997	74	25	potential	potential	ADJ
cana-997	74	26	security	security	NOUN
cana-997	74	27	vulnerabilities	vulnerability	NOUN
cana-997	74	28	in	in	ADP
cana-997	74	29	software	software	NOUN
cana-997	74	30	systems	system	NOUN
cana-997	74	31	.	.	PUNCT
cana-997	75	1	by	by	ADP
cana-997	75	2	analyzing	analyze	VERB
cana-997	75	3	functions	function	NOUN
cana-997	75	4	/	/	SYM
cana-997	75	5	methods	method	NOUN
cana-997	75	6	/	/	SYM
cana-997	75	7	classes	class	NOUN
cana-997	75	8	,	,	PUNCT
cana-997	75	9	the	the	DET
cana-997	75	10	proposed	propose	VERB
cana-997	75	11	approach	approach	NOUN
cana-997	75	12	can	can	AUX
cana-997	75	13	provide	provide	VERB
cana-997	75	14	a	a	DET
cana-997	75	15	more	more	ADV
cana-997	75	16	detailed	detailed	ADJ
cana-997	75	17	and	and	CCONJ
cana-997	75	18	granular	granular	ADJ
cana-997	75	19	level	level	NOUN
cana-997	75	20	of	of	ADP
cana-997	75	21	analysis	analysis	NOUN
cana-997	75	22	,	,	PUNCT
cana-997	75	23	leading	lead	VERB
cana-997	75	24	to	to	ADP
cana-997	75	25	the	the	DET
cana-997	75	26	development	development	NOUN
cana-997	75	27	of	of	ADP
cana-997	75	28	more	more	ADV
cana-997	75	29	secure	secure	ADJ
cana-997	75	30	software	software	NOUN
cana-997	75	31	systems	system	NOUN
cana-997	75	32	.	.	PUNCT
cana-997	76	1	3	3	X
cana-997	76	2	.	.	X
cana-997	76	3	literature	literature	NOUN
cana-997	76	4	review	review	VERB
cana-997	76	5	there	there	PRON
cana-997	76	6	is	be	VERB
cana-997	76	7	a	a	DET
cana-997	76	8	wealth	wealth	NOUN
cana-997	76	9	of	of	ADP
cana-997	76	10	literature	literature	NOUN
cana-997	76	11	available	available	ADJ
cana-997	76	12	on	on	ADP
cana-997	76	13	vulnerability	vulnerability	NOUN
cana-997	76	14	detection	detection	NOUN
cana-997	76	15	,	,	PUNCT
cana-997	76	16	including	include	VERB
cana-997	76	17	techniques	technique	NOUN
cana-997	76	18	such	such	ADJ
cana-997	76	19	as	as	ADP
cana-997	76	20	static	static	ADJ
cana-997	76	21	and	and	CCONJ
cana-997	76	22	dynamic	dynamic	ADJ
cana-997	76	23	analysis	analysis	NOUN
cana-997	76	24	.	.	PUNCT
cana-997	77	1	unfortunately	unfortunately	ADV
cana-997	77	2	,	,	PUNCT
cana-997	77	3	there	there	PRON
cana-997	77	4	has	have	AUX
cana-997	77	5	been	be	AUX
cana-997	77	6	limited	limit	VERB
cana-997	77	7	research	research	NOUN
cana-997	77	8	on	on	ADP
cana-997	77	9	the	the	DET
cana-997	77	10	application	application	NOUN
cana-997	77	11	of	of	ADP
cana-997	77	12	functions	function	NOUN
cana-997	77	13	,	,	PUNCT
cana-997	77	14	classes	class	NOUN
cana-997	77	15	and	and	CCONJ
cana-997	77	16	methods	method	NOUN
cana-997	77	17	for	for	ADP
cana-997	77	18	vulnerability	vulnerability	NOUN
cana-997	77	19	detection	detection	NOUN
cana-997	77	20	or	or	CCONJ
cana-997	77	21	the	the	DET
cana-997	77	22	effectiveness	effectiveness	NOUN
cana-997	77	23	of	of	ADP
cana-997	77	24	machine	machine	NOUN
cana-997	77	25	learning	learn	VERB
cana-997	77	26	techniques	technique	NOUN
cana-997	77	27	for	for	ADP
cana-997	77	28	improving	improve	VERB
cana-997	77	29	vulnerability	vulnerability	NOUN
cana-997	77	30	detection	detection	NOUN
cana-997	77	31	accuracy	accuracy	NOUN
cana-997	77	32	.	.	PUNCT
cana-997	78	1	this	this	DET
cana-997	78	2	topic	topic	NOUN
cana-997	78	3	involves	involve	VERB
cana-997	78	4	investigating	investigate	VERB
cana-997	78	5	functions	function	NOUN
cana-997	78	6	,	,	PUNCT
cana-997	78	7	classes	class	NOUN
cana-997	78	8	and	and	CCONJ
cana-997	78	9	methods	method	NOUN
cana-997	78	10	to	to	PART
cana-997	78	11	detect	detect	VERB
cana-997	78	12	vulnerabilities	vulnerability	NOUN
cana-997	78	13	and	and	CCONJ
cana-997	78	14	applying	apply	VERB
cana-997	78	15	machine	machine	NOUN
cana-997	78	16	learning	learn	VERB
cana-997	78	17	techniques	technique	NOUN
cana-997	78	18	in	in	ADP
cana-997	78	19	order	order	NOUN
cana-997	78	20	to	to	PART
cana-997	78	21	increase	increase	VERB
cana-997	78	22	accuracy	accuracy	NOUN
cana-997	78	23	in	in	ADP
cana-997	78	24	vulnerability	vulnerability	NOUN
cana-997	78	25	detection	detection	NOUN
cana-997	78	26	.	.	PUNCT
cana-997	79	1	4	4	X
cana-997	79	2	.	.	X
cana-997	79	3	possible	possible	ADJ
cana-997	79	4	approaches	approach	NOUN
cana-997	79	5	proposed	propose	VERB
cana-997	79	6	approaches	approach	NOUN
cana-997	79	7	to	to	ADP
cana-997	79	8	vulnerability	vulnerability	NOUN
cana-997	79	9	prediction	prediction	NOUN
cana-997	79	10	include	include	VERB
cana-997	79	11	analysis	analysis	NOUN
cana-997	79	12	of	of	ADP
cana-997	79	13	functions	function	NOUN
cana-997	79	14	/	/	SYM
cana-997	79	15	methods	method	NOUN
cana-997	79	16	/	/	SYM
cana-997	79	17	classes	class	NOUN
cana-997	79	18	of	of	ADP
cana-997	79	19	software	software	NOUN
cana-997	79	20	systems	system	NOUN
cana-997	79	21	.	.	PUNCT
cana-997	80	1	this	this	DET
cana-997	80	2	approach	approach	NOUN
cana-997	80	3	is	be	AUX
cana-997	80	4	based	base	VERB
cana-997	80	5	on	on	ADP
cana-997	80	6	the	the	DET
cana-997	80	7	premise	premise	NOUN
cana-997	80	8	that	that	SCONJ
cana-997	80	9	functions	function	NOUN
cana-997	80	10	/	/	SYM
cana-997	80	11	methods	method	NOUN
cana-997	80	12	/	/	SYM
cana-997	80	13	classes	class	NOUN
cana-997	80	14	are	be	AUX
cana-997	80	15	the	the	DET
cana-997	80	16	building	building	NOUN
cana-997	80	17	blocks	block	NOUN
cana-997	80	18	of	of	ADP
cana-997	80	19	software	software	NOUN
cana-997	80	20	systems	system	NOUN
cana-997	80	21	,	,	PUNCT
cana-997	80	22	and	and	CCONJ
cana-997	80	23	vulnerabilities	vulnerability	NOUN
cana-997	80	24	are	be	AUX
cana-997	80	25	likely	likely	ADJ
cana-997	80	26	to	to	PART
cana-997	80	27	emerge	emerge	VERB
cana-997	80	28	at	at	ADP
cana-997	80	29	this	this	DET
cana-997	80	30	level	level	NOUN
cana-997	80	31	of	of	ADP
cana-997	80	32	granularity	granularity	NOUN
cana-997	80	33	.	.	PUNCT
cana-997	81	1	by	by	ADP
cana-997	81	2	analyzing	analyze	VERB
cana-997	81	3	functions	function	NOUN
cana-997	81	4	/	/	SYM
cana-997	81	5	methods/	methods/	NUM
cana-997	81	6	classes	class	NOUN
cana-997	81	7	,	,	PUNCT
cana-997	81	8	the	the	DET
cana-997	81	9	proposed	propose	VERB
cana-997	81	10	approach	approach	NOUN
cana-997	81	11	provides	provide	VERB
cana-997	81	12	a	a	DET
cana-997	81	13	more	more	ADV
cana-997	81	14	detailed	detailed	ADJ
cana-997	81	15	and	and	CCONJ
cana-997	81	16	granular	granular	ADJ
cana-997	81	17	level	level	NOUN
cana-997	81	18	of	of	ADP
cana-997	81	19	analysis	analysis	NOUN
cana-997	81	20	,	,	PUNCT
cana-997	81	21	allowing	allow	VERB
cana-997	81	22	us	we	PRON
cana-997	81	23	to	to	PART
cana-997	81	24	better	well	ADV
cana-997	81	25	understand	understand	VERB
cana-997	81	26	vulnerabilities	vulnerability	NOUN
cana-997	81	27	and	and	CCONJ
cana-997	81	28	their	their	PRON
cana-997	81	29	impact	impact	NOUN
cana-997	81	30	on	on	ADP
cana-997	81	31	software	software	NOUN
cana-997	81	32	systems	system	NOUN
cana-997	81	33	.	.	PUNCT
cana-997	82	1	the	the	DET
cana-997	82	2	first	first	ADJ
cana-997	82	3	step	step	NOUN
cana-997	82	4	in	in	ADP
cana-997	82	5	the	the	DET
cana-997	82	6	proposed	propose	VERB
cana-997	82	7	approach	approach	NOUN
cana-997	82	8	is	be	AUX
cana-997	82	9	to	to	PART
cana-997	82	10	use	use	VERB
cana-997	82	11	the	the	DET
cana-997	82	12	functions	function	NOUN
cana-997	82	13	/	/	SYM
cana-997	82	14	methods	method	NOUN
cana-997	82	15	/	/	SYM
cana-997	82	16	classes	class	NOUN
cana-997	82	17	of	of	ADP
cana-997	82	18	the	the	DET
cana-997	82	19	software	software	NOUN
cana-997	82	20	system	system	NOUN
cana-997	82	21	communications	communication	NOUN
cana-997	82	22	on	on	ADP
cana-997	82	23	applied	apply	VERB
cana-997	82	24	nonlinear	nonlinear	ADJ
cana-997	82	25	analysis	analysis	NOUN
cana-997	82	26	issn	issn	NOUN
cana-997	82	27	:	:	PUNCT
cana-997	82	28	1074	1074	NUM
cana-997	82	29	-	-	PUNCT
cana-997	82	30	133x	133x	NUM
cana-997	82	31	vol	vol	NOUN
cana-997	82	32	31	31	NUM
cana-997	82	33	no	no	NOUN
cana-997	82	34	.	.	PUNCT
cana-997	83	1	5s	5s	NUM
cana-997	83	2	(	(	PUNCT
cana-997	83	3	2024	2024	NUM
cana-997	83	4	)	)	PUNCT
cana-997	83	5	28	28	NUM
cana-997	83	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	83	7	under	under	ADP
cana-997	83	8	analysis	analysis	NOUN
cana-997	83	9	.	.	PUNCT
cana-997	84	1	this	this	PRON
cana-997	84	2	can	can	AUX
cana-997	84	3	be	be	AUX
cana-997	84	4	achieved	achieve	VERB
cana-997	84	5	using	use	VERB
cana-997	84	6	various	various	ADJ
cana-997	84	7	techniques	technique	NOUN
cana-997	84	8	such	such	ADJ
cana-997	84	9	as	as	ADP
cana-997	84	10	program	program	NOUN
cana-997	84	11	slicing	slicing	NOUN
cana-997	84	12	and	and	CCONJ
cana-997	84	13	program	program	NOUN
cana-997	84	14	understanding	understanding	NOUN
cana-997	84	15	tools	tool	NOUN
cana-997	84	16	.	.	PUNCT
cana-997	85	1	once	once	SCONJ
cana-997	85	2	the	the	DET
cana-997	85	3	functions	function	NOUN
cana-997	85	4	/	/	SYM
cana-997	85	5	methods	method	NOUN
cana-997	85	6	/	/	SYM
cana-997	85	7	classes	class	NOUN
cana-997	85	8	have	have	AUX
cana-997	85	9	been	be	AUX
cana-997	85	10	extracted	extract	VERB
cana-997	85	11	,	,	PUNCT
cana-997	85	12	the	the	DET
cana-997	85	13	next	next	ADJ
cana-997	85	14	step	step	NOUN
cana-997	85	15	is	be	AUX
cana-997	85	16	to	to	PART
cana-997	85	17	extract	extract	VERB
cana-997	85	18	functionality	functionality	NOUN
cana-997	85	19	from	from	ADP
cana-997	85	20	them	they	PRON
cana-997	85	21	using	use	VERB
cana-997	85	22	static	static	ADJ
cana-997	85	23	analysis	analysis	NOUN
cana-997	85	24	techniques	technique	NOUN
cana-997	85	25	.	.	PUNCT
cana-997	86	1	features	feature	NOUN
cana-997	86	2	extracted	extract	VERB
cana-997	86	3	from	from	ADP
cana-997	86	4	functions	function	NOUN
cana-997	86	5	/	/	SYM
cana-997	86	6	methods	method	NOUN
cana-997	86	7	/	/	SYM
cana-997	86	8	classes	class	NOUN
cana-997	86	9	may	may	AUX
cana-997	86	10	include	include	VERB
cana-997	86	11	control	control	NOUN
cana-997	86	12	flow	flow	NOUN
cana-997	86	13	,	,	PUNCT
cana-997	86	14	data	data	NOUN
cana-997	86	15	flow	flow	NOUN
cana-997	86	16	,	,	PUNCT
cana-997	86	17	and	and	CCONJ
cana-997	86	18	code	code	NOUN
cana-997	86	19	metrics	metric	NOUN
cana-997	86	20	such	such	ADJ
cana-997	86	21	as	as	ADP
cana-997	86	22	cyclomatic	cyclomatic	ADJ
cana-997	86	23	complexity	complexity	NOUN
cana-997	86	24	,	,	PUNCT
cana-997	86	25	lines	line	NOUN
cana-997	86	26	of	of	ADP
cana-997	86	27	code	code	NOUN
cana-997	86	28	,	,	PUNCT
cana-997	86	29	and	and	CCONJ
cana-997	86	30	parameter	parameter	PROPN
cana-997	86	31	count	count	NOUN
cana-997	86	32	.	.	PUNCT
cana-997	87	1	control	control	NOUN
cana-997	87	2	flow	flow	NOUN
cana-997	87	3	analysis	analysis	NOUN
cana-997	87	4	analyzes	analyze	VERB
cana-997	87	5	the	the	DET
cana-997	87	6	control	control	NOUN
cana-997	87	7	flow	flow	NOUN
cana-997	87	8	of	of	ADP
cana-997	87	9	a	a	DET
cana-997	87	10	program	program	NOUN
cana-997	87	11	to	to	PART
cana-997	87	12	identify	identify	VERB
cana-997	87	13	potential	potential	ADJ
cana-997	87	14	security	security	NOUN
cana-997	87	15	vulnerabilities	vulnerability	NOUN
cana-997	87	16	.	.	PUNCT
cana-997	88	1	dataflow	dataflow	ADJ
cana-997	88	2	analysis	analysis	NOUN
cana-997	88	3	analyzes	analyze	VERB
cana-997	88	4	how	how	SCONJ
cana-997	88	5	data	datum	NOUN
cana-997	88	6	flows	flow	VERB
cana-997	88	7	through	through	ADP
cana-997	88	8	a	a	DET
cana-997	88	9	program	program	NOUN
cana-997	88	10	.	.	PUNCT
cana-997	89	1	code	code	NOUN
cana-997	89	2	metrics	metric	NOUN
cana-997	89	3	such	such	ADJ
cana-997	89	4	as	as	ADP
cana-997	89	5	cyclomatic	cyclomatic	ADJ
cana-997	89	6	complexity	complexity	NOUN
cana-997	89	7	,	,	PUNCT
cana-997	89	8	number	number	NOUN
cana-997	89	9	of	of	ADP
cana-997	89	10	lines	line	NOUN
cana-997	89	11	of	of	ADP
cana-997	89	12	code	code	NOUN
cana-997	89	13	,	,	PUNCT
cana-997	89	14	and	and	CCONJ
cana-997	89	15	number	number	NOUN
cana-997	89	16	of	of	ADP
cana-997	89	17	parameters	parameter	NOUN
cana-997	89	18	can	can	AUX
cana-997	89	19	provide	provide	VERB
cana-997	89	20	useful	useful	ADJ
cana-997	89	21	information	information	NOUN
cana-997	89	22	about	about	ADP
cana-997	89	23	the	the	DET
cana-997	89	24	complexity	complexity	NOUN
cana-997	89	25	of	of	ADP
cana-997	89	26	functions/	functions/	NUM
cana-997	89	27	methods	method	NOUN
cana-997	89	28	/	/	SYM
cana-997	89	29	classes	class	NOUN
cana-997	89	30	.	.	PUNCT
cana-997	90	1	once	once	SCONJ
cana-997	90	2	features	feature	NOUN
cana-997	90	3	are	be	AUX
cana-997	90	4	extracted	extract	VERB
cana-997	90	5	from	from	ADP
cana-997	90	6	functions	function	NOUN
cana-997	90	7	/	/	SYM
cana-997	90	8	methods	method	NOUN
cana-997	90	9	/	/	SYM
cana-997	90	10	classes	class	NOUN
cana-997	90	11	,	,	PUNCT
cana-997	90	12	the	the	DET
cana-997	90	13	next	next	ADJ
cana-997	90	14	step	step	NOUN
cana-997	90	15	is	be	AUX
cana-997	90	16	to	to	PART
cana-997	90	17	train	train	VERB
cana-997	90	18	a	a	DET
cana-997	90	19	machine	machine	NOUN
cana-997	90	20	learning	learn	VERB
cana-997	90	21	model	model	NOUN
cana-997	90	22	using	use	VERB
cana-997	90	23	the	the	DET
cana-997	90	24	extracted	extract	VERB
cana-997	90	25	features	feature	NOUN
cana-997	90	26	and	and	CCONJ
cana-997	90	27	labeled	label	VERB
cana-997	90	28	data	datum	NOUN
cana-997	90	29	.	.	PUNCT
cana-997	91	1	marked	mark	VERB
cana-997	91	2	data	datum	NOUN
cana-997	91	3	may	may	AUX
cana-997	91	4	contain	contain	VERB
cana-997	91	5	information	information	NOUN
cana-997	91	6	about	about	ADP
cana-997	91	7	known	know	VERB
cana-997	91	8	security	security	NOUN
cana-997	91	9	gaps	gap	NOUN
cana-997	91	10	in	in	ADP
cana-997	91	11	software	software	NOUN
cana-997	91	12	systems	system	NOUN
cana-997	91	13	.	.	PUNCT
cana-997	92	1	machine	machine	NOUN
cana-997	92	2	learning	learning	NOUN
cana-997	92	3	models	model	NOUN
cana-997	92	4	can	can	AUX
cana-997	92	5	be	be	AUX
cana-997	92	6	trained	train	VERB
cana-997	92	7	using	use	VERB
cana-997	92	8	supervised	supervise	VERB
cana-997	92	9	learning	learning	NOUN
cana-997	92	10	techniques	technique	NOUN
cana-997	92	11	such	such	ADJ
cana-997	92	12	as	as	ADP
cana-997	92	13	decision	decision	NOUN
cana-997	92	14	trees	tree	NOUN
cana-997	92	15	and	and	CCONJ
cana-997	92	16	support	support	VERB
cana-997	92	17	vector	vector	NOUN
cana-997	92	18	machines	machine	NOUN
cana-997	92	19	.	.	PUNCT
cana-997	93	1	machine	machine	NOUN
cana-997	93	2	learning	learning	NOUN
cana-997	93	3	models	model	NOUN
cana-997	93	4	can	can	AUX
cana-997	93	5	then	then	ADV
cana-997	93	6	be	be	AUX
cana-997	93	7	used	use	VERB
cana-997	93	8	to	to	PART
cana-997	93	9	predict	predict	VERB
cana-997	93	10	potential	potential	ADJ
cana-997	93	11	security	security	NOUN
cana-997	93	12	vulnerabilities	vulnerability	NOUN
cana-997	93	13	in	in	ADP
cana-997	93	14	software	software	NOUN
cana-997	93	15	systems	system	NOUN
cana-997	93	16	.	.	PUNCT
cana-997	94	1	proposed	propose	VERB
cana-997	94	2	fig	fig	NOUN
cana-997	94	3	.	.	PUNCT
cana-997	95	1	1	1	NUM
cana-997	95	2	.	.	X
cana-997	95	3	number	number	NOUN
cana-997	95	4	of	of	ADP
cana-997	95	5	cwe	cwe	NOUN
cana-997	95	6	vulnerabilities	vulnerability	NOUN
cana-997	95	7	over	over	ADP
cana-997	95	8	the	the	DET
cana-997	95	9	years[27	years[27	NOUN
cana-997	95	10	]	]	PUNCT
cana-997	95	11	approaches	approach	VERB
cana-997	95	12	to	to	ADP
cana-997	95	13	vulnerability	vulnerability	NOUN
cana-997	95	14	prediction	prediction	NOUN
cana-997	95	15	include	include	VERB
cana-997	95	16	analysis	analysis	NOUN
cana-997	95	17	of	of	ADP
cana-997	95	18	functions	function	NOUN
cana-997	95	19	/	/	SYM
cana-997	95	20	methods	method	NOUN
cana-997	95	21	/	/	SYM
cana-997	95	22	classes	class	NOUN
cana-997	95	23	of	of	ADP
cana-997	95	24	software	software	NOUN
cana-997	95	25	systems	system	NOUN
cana-997	95	26	.	.	PUNCT
cana-997	96	1	this	this	DET
cana-997	96	2	approach	approach	NOUN
cana-997	96	3	is	be	AUX
cana-997	96	4	based	base	VERB
cana-997	96	5	on	on	ADP
cana-997	96	6	the	the	DET
cana-997	96	7	premise	premise	NOUN
cana-997	96	8	that	that	SCONJ
cana-997	96	9	functions	function	NOUN
cana-997	96	10	/	/	SYM
cana-997	96	11	methods	method	NOUN
cana-997	96	12	/	/	SYM
cana-997	96	13	classes	class	NOUN
cana-997	96	14	are	be	AUX
cana-997	96	15	the	the	DET
cana-997	96	16	building	building	NOUN
cana-997	96	17	blocks	block	NOUN
cana-997	96	18	of	of	ADP
cana-997	96	19	software	software	NOUN
cana-997	96	20	systems	system	NOUN
cana-997	96	21	,	,	PUNCT
cana-997	96	22	and	and	CCONJ
cana-997	96	23	vulnerabilities	vulnerability	NOUN
cana-997	96	24	are	be	AUX
cana-997	96	25	likely	likely	ADJ
cana-997	96	26	to	to	PART
cana-997	96	27	emerge	emerge	VERB
cana-997	96	28	at	at	ADP
cana-997	96	29	this	this	DET
cana-997	96	30	level	level	NOUN
cana-997	96	31	of	of	ADP
cana-997	96	32	granularity	granularity	NOUN
cana-997	96	33	.	.	PUNCT
cana-997	97	1	by	by	ADP
cana-997	97	2	analyzing	analyze	VERB
cana-997	97	3	functions	function	NOUN
cana-997	97	4	/	/	SYM
cana-997	97	5	methods	method	NOUN
cana-997	97	6	/	/	SYM
cana-997	97	7	classes	class	NOUN
cana-997	97	8	,	,	PUNCT
cana-997	97	9	the	the	DET
cana-997	97	10	proposed	propose	VERB
cana-997	97	11	approach	approach	NOUN
cana-997	97	12	provides	provide	VERB
cana-997	97	13	a	a	DET
cana-997	97	14	more	more	ADV
cana-997	97	15	detailed	detailed	ADJ
cana-997	97	16	and	and	CCONJ
cana-997	97	17	granular	granular	ADJ
cana-997	97	18	level	level	NOUN
cana-997	97	19	of	of	ADP
cana-997	97	20	analysis	analysis	NOUN
cana-997	97	21	,	,	PUNCT
cana-997	97	22	allowing	allow	VERB
cana-997	97	23	us	we	PRON
cana-997	97	24	to	to	PART
cana-997	97	25	better	well	ADV
cana-997	97	26	understand	understand	VERB
cana-997	97	27	vulnerabilities	vulnerability	NOUN
cana-997	97	28	and	and	CCONJ
cana-997	97	29	their	their	PRON
cana-997	97	30	impact	impact	NOUN
cana-997	97	31	on	on	ADP
cana-997	97	32	software	software	NOUN
cana-997	97	33	systems	system	NOUN
cana-997	97	34	.	.	PUNCT
cana-997	98	1	the	the	DET
cana-997	98	2	first	first	ADJ
cana-997	98	3	step	step	NOUN
cana-997	98	4	in	in	ADP
cana-997	98	5	the	the	DET
cana-997	98	6	proposed	propose	VERB
cana-997	98	7	approach	approach	NOUN
cana-997	98	8	is	be	AUX
cana-997	98	9	to	to	PART
cana-997	98	10	use	use	VERB
cana-997	98	11	the	the	DET
cana-997	98	12	functions	function	NOUN
cana-997	98	13	/	/	SYM
cana-997	98	14	methods	method	NOUN
cana-997	98	15	/	/	SYM
cana-997	98	16	classes	class	NOUN
cana-997	98	17	of	of	ADP
cana-997	98	18	the	the	DET
cana-997	98	19	software	software	NOUN
cana-997	98	20	system	system	NOUN
cana-997	98	21	under	under	ADP
cana-997	98	22	analysis	analysis	NOUN
cana-997	98	23	.	.	PUNCT
cana-997	99	1	this	this	PRON
cana-997	99	2	can	can	AUX
cana-997	99	3	be	be	AUX
cana-997	99	4	achieved	achieve	VERB
cana-997	99	5	using	use	VERB
cana-997	99	6	various	various	ADJ
cana-997	99	7	techniques	technique	NOUN
cana-997	99	8	such	such	ADJ
cana-997	99	9	as	as	ADP
cana-997	99	10	program	program	NOUN
cana-997	99	11	slicing	slicing	NOUN
cana-997	99	12	and	and	CCONJ
cana-997	99	13	program	program	NOUN
cana-997	99	14	understanding	understanding	NOUN
cana-997	99	15	tools	tool	NOUN
cana-997	99	16	.	.	PUNCT
cana-997	100	1	once	once	SCONJ
cana-997	100	2	the	the	DET
cana-997	100	3	functions	function	NOUN
cana-997	100	4	/	/	SYM
cana-997	100	5	methods	method	NOUN
cana-997	100	6	/	/	SYM
cana-997	100	7	classes	class	NOUN
cana-997	100	8	have	have	AUX
cana-997	100	9	been	be	AUX
cana-997	100	10	extracted	extract	VERB
cana-997	100	11	,	,	PUNCT
cana-997	100	12	the	the	DET
cana-997	100	13	next	next	ADJ
cana-997	100	14	step	step	NOUN
cana-997	100	15	is	be	AUX
cana-997	100	16	to	to	PART
cana-997	100	17	extract	extract	VERB
cana-997	100	18	functionality	functionality	NOUN
cana-997	100	19	code	code	NOUN
cana-997	100	20	group	group	NOUN
cana-997	100	21	code	code	NOUN
cana-997	100	22	description	description	NOUN
cana-997	100	23	example	example	NOUN
cana-997	100	24	correction	correction	NOUN
cana-997	100	25	no	no	DET
cana-997	100	26	tool	tool	NOUN
cana-997	100	27	capable	capable	ADJ
cana-997	100	28	only	only	ADV
cana-997	100	29	of	of	ADP
cana-997	100	30	detecting	detect	VERB
cana-997	100	31	defects	defect	NOUN
cana-997	100	32	design	design	NOUN
cana-997	100	33	and	and	CCONJ
cana-997	100	34	implementation	implementation	NOUN
cana-997	100	35	of	of	ADP
cana-997	100	36	a	a	DET
cana-997	100	37	deep	deep	ADJ
cana-997	100	38	learning	learning	NOUN
cana-997	100	39	-	-	PUNCT
cana-997	100	40	based	base	VERB
cana-997	100	41	vulnerability	vulnerability	NOUN
cana-997	100	42	detection	detection	NOUN
cana-997	100	43	system	system	NOUN
cana-997	101	1	yes	yes	INTJ
cana-997	101	2	tool	tool	NOUN
cana-997	101	3	capable	capable	ADJ
cana-997	101	4	of	of	ADP
cana-997	101	5	correcting	correct	VERB
cana-997	101	6	defects	defect	NOUN
cana-997	101	7	end	end	NOUN
cana-997	101	8	-	-	PUNCT
cana-997	101	9	to	to	ADP
cana-997	101	10	-	-	PUNCT
cana-997	101	11	end	end	NOUN
cana-997	101	12	solution	solution	NOUN
cana-997	101	13	that	that	PRON
cana-997	101	14	can	can	AUX
cana-997	101	15	fix	fix	VERB
cana-997	101	16	multiple	multiple	ADJ
cana-997	101	17	such	such	ADJ
cana-997	101	18	errors	error	NOUN
cana-997	101	19	in	in	ADP
cana-997	101	20	a	a	DET
cana-997	101	21	program	program	NOUN
cana-997	101	22	defect	defect	NOUN
cana-997	101	23	type	type	NOUN
cana-997	101	24	syntactic	syntactic	ADJ
cana-997	101	25	tool	tool	NOUN
cana-997	101	26	targets	target	NOUN
cana-997	101	27	syntax	syntax	NOUN
cana-997	101	28	defects	defect	NOUN
cana-997	101	29	algorithm	algorithm	NOUN
cana-997	101	30	for	for	ADP
cana-997	101	31	finding	find	VERB
cana-997	101	32	repairs	repair	NOUN
cana-997	101	33	to	to	PART
cana-997	101	34	syntax	syntax	VERB
cana-997	101	35	errors	error	NOUN
cana-997	101	36	semantic	semantic	ADJ
cana-997	101	37	tool	tool	NOUN
cana-997	101	38	targets	target	VERB
cana-997	101	39	semantic	semantic	ADJ
cana-997	101	40	defects	defect	NOUN
cana-997	101	41	addressing	address	VERB
cana-997	101	42	the	the	DET
cana-997	101	43	issue	issue	NOUN
cana-997	101	44	of	of	ADP
cana-997	101	45	semantic	semantic	ADJ
cana-997	101	46	program	program	NOUN
cana-997	101	47	repair	repair	NOUN
cana-997	101	48	vulnerability	vulnerability	NOUN
cana-997	101	49	tool	tool	NOUN
cana-997	101	50	targets	target	NOUN
cana-997	101	51	vulnerabilities	vulnerability	NOUN
cana-997	101	52	system	system	NOUN
cana-997	101	53	for	for	ADP
cana-997	101	54	vulnerability	vulnerability	NOUN
cana-997	101	55	detection	detection	NOUN
cana-997	101	56	representation	representation	NOUN
cana-997	101	57	tokens	token	NOUN
cana-997	101	58	source	source	NOUN
cana-997	101	59	code	code	NOUN
cana-997	101	60	represented	represent	VERB
cana-997	101	61	as	as	ADP
cana-997	101	62	a	a	DET
cana-997	101	63	sequence	sequence	NOUN
cana-997	101	64	of	of	ADP
cana-997	101	65	tokens	token	NOUN
cana-997	101	66	model	model	NOUN
cana-997	101	67	treats	treat	VERB
cana-997	101	68	a	a	DET
cana-997	101	69	program	program	NOUN
cana-997	101	70	statement	statement	NOUN
cana-997	101	71	as	as	ADP
cana-997	101	72	a	a	DET
cana-997	101	73	list	list	NOUN
cana-997	101	74	of	of	ADP
cana-997	101	75	tokens	token	NOUN
cana-997	101	76	ast	ast	PROPN
cana-997	101	77	source	source	PROPN
cana-997	101	78	code	code	PROPN
cana-997	101	79	represented	represent	VERB
cana-997	101	80	as	as	ADP
cana-997	101	81	an	an	DET
cana-997	101	82	abstract	abstract	ADJ
cana-997	101	83	syntax	syntax	NOUN
cana-997	101	84	tree	tree	NOUN
cana-997	101	85	representations	representation	NOUN
cana-997	101	86	of	of	ADP
cana-997	101	87	asts	ast	NOUN
cana-997	101	88	communications	communication	NOUN
cana-997	101	89	on	on	ADP
cana-997	101	90	applied	apply	VERB
cana-997	101	91	nonlinear	nonlinear	ADJ
cana-997	101	92	analysis	analysis	NOUN
cana-997	101	93	issn	issn	NOUN
cana-997	101	94	:	:	PUNCT
cana-997	101	95	1074	1074	NUM
cana-997	101	96	-	-	PUNCT
cana-997	101	97	133x	133x	NUM
cana-997	101	98	vol	vol	NOUN
cana-997	101	99	31	31	NUM
cana-997	101	100	no	no	NOUN
cana-997	101	101	.	.	PUNCT
cana-997	102	1	5s	5s	NUM
cana-997	102	2	(	(	PUNCT
cana-997	102	3	2024	2024	NUM
cana-997	102	4	)	)	PUNCT
cana-997	102	5	29	29	NUM
cana-997	102	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	102	7	graph	graph	NOUN
cana-997	102	8	source	source	NOUN
cana-997	102	9	code	code	NOUN
cana-997	102	10	represented	represent	VERB
cana-997	102	11	as	as	ADP
cana-997	102	12	a	a	DET
cana-997	102	13	graph	graph	NOUN
cana-997	102	14	capturing	capture	VERB
cana-997	102	15	additional	additional	ADJ
cana-997	102	16	semantic	semantic	ADJ
cana-997	102	17	information	information	NOUN
cana-997	102	18	(	(	PUNCT
cana-997	102	19	control	control	NOUN
cana-997	102	20	flow	flow	NOUN
cana-997	102	21	graphs	graph	NOUN
cana-997	102	22	,	,	PUNCT
cana-997	102	23	data	datum	NOUN
cana-997	102	24	flow	flow	NOUN
cana-997	102	25	graphs	graph	NOUN
cana-997	102	26	,	,	PUNCT
cana-997	102	27	and	and	CCONJ
cana-997	102	28	so	so	ADV
cana-997	102	29	on	on	ADV
cana-997	102	30	)	)	PUNCT
cana-997	102	31	generates	generate	VERB
cana-997	102	32	a	a	DET
cana-997	102	33	system	system	NOUN
cana-997	102	34	dependency	dependency	NOUN
cana-997	102	35	graph	graph	NOUN
cana-997	102	36	for	for	ADP
cana-997	102	37	each	each	DET
cana-997	102	38	training	training	NOUN
cana-997	102	39	program	program	NOUN
cana-997	102	40	language	language	NOUN
cana-997	102	41	python	python	NOUN
cana-997	102	42	tool	tool	NOUN
cana-997	102	43	evaluated	evaluate	VERB
cana-997	102	44	on	on	ADP
cana-997	102	45	source	source	NOUN
cana-997	102	46	code	code	NOUN
cana-997	102	47	written	write	VERB
cana-997	102	48	in	in	ADP
cana-997	102	49	python	python	NOUN
cana-997	102	50	from	from	ADP
cana-997	102	51	an	an	DET
cana-997	102	52	introduction	introduction	NOUN
cana-997	102	53	to	to	ADP
cana-997	102	54	programming	programming	NOUN
cana-997	102	55	in	in	ADP
cana-997	102	56	python	python	PROPN
cana-997	102	57	course	course	NOUN
cana-997	102	58	c	c	NOUN
cana-997	102	59	tool	tool	NOUN
cana-997	102	60	evaluated	evaluate	VERB
cana-997	102	61	on	on	ADP
cana-997	102	62	source	source	NOUN
cana-997	102	63	code	code	NOUN
cana-997	102	64	written	write	VERB
cana-997	102	65	in	in	ADP
cana-997	102	66	c	c	NOUN
cana-997	102	67	/	/	SYM
cana-997	102	68	c++	c++	NOUN
cana-997	102	69	fixing	fix	VERB
cana-997	102	70	common	common	ADJ
cana-997	102	71	c	c	NOUN
cana-997	102	72	language	language	NOUN
cana-997	102	73	errors	error	NOUN
cana-997	102	74	java	java	PROPN
cana-997	102	75	tool	tool	PROPN
cana-997	102	76	evaluated	evaluate	VERB
cana-997	102	77	on	on	ADP
cana-997	102	78	source	source	NOUN
cana-997	102	79	code	code	NOUN
cana-997	102	80	written	write	VERB
cana-997	102	81	in	in	ADP
cana-997	102	82	java	java	PROPN
cana-997	102	83	targeting	target	VERB
cana-997	102	84	java	java	PROPN
cana-997	102	85	source	source	PROPN
cana-997	102	86	code	code	PROPN
cana-997	102	87	javascript	javascript	NOUN
cana-997	102	88	tool	tool	NOUN
cana-997	102	89	evaluated	evaluate	VERB
cana-997	102	90	on	on	ADP
cana-997	102	91	source	source	NOUN
cana-997	102	92	code	code	NOUN
cana-997	102	93	written	write	VERB
cana-997	102	94	in	in	ADP
cana-997	102	95	javascript	javascript	ADJ
cana-997	102	96	broad	broad	ADJ
cana-997	102	97	range	range	NOUN
cana-997	102	98	of	of	ADP
cana-997	102	99	bugs	bug	NOUN
cana-997	102	100	in	in	ADP
cana-997	102	101	javascript	javascript	NOUN
cana-997	102	102	programs	program	NOUN
cana-997	102	103	c	c	NOUN
cana-997	102	104	#	#	NOUN
cana-997	102	105	tool	tool	NOUN
cana-997	102	106	evaluated	evaluate	VERB
cana-997	102	107	on	on	ADP
cana-997	102	108	source	source	NOUN
cana-997	102	109	code	code	NOUN
cana-997	102	110	written	write	VERB
cana-997	102	111	in	in	ADP
cana-997	102	112	c	c	NOUN
cana-997	102	113	#	#	NOUN
cana-997	102	114	open	open	ADJ
cana-997	102	115	-	-	PUNCT
cana-997	102	116	source	source	NOUN
cana-997	102	117	c	c	NOUN
cana-997	102	118	#	#	NOUN
cana-997	102	119	projects	project	NOUN
cana-997	102	120	on	on	ADP
cana-997	102	121	github	github	PROPN
cana-997	102	122	type	type	NOUN
cana-997	102	123	no	no	DET
cana-997	102	124	bug	bug	NOUN
cana-997	102	125	tool	tool	NOUN
cana-997	102	126	trained	train	VERB
cana-997	102	127	on	on	ADP
cana-997	102	128	only	only	ADV
cana-997	102	129	nonbuggy	nonbuggy	PROPN
cana-997	102	130	source	source	NOUN
cana-997	102	131	code	code	NOUN
cana-997	102	132	using	use	VERB
cana-997	102	133	language	language	NOUN
cana-997	102	134	models	model	NOUN
cana-997	102	135	trained	train	VERB
cana-997	102	136	on	on	ADP
cana-997	102	137	correct	correct	ADJ
cana-997	102	138	source	source	NOUN
cana-997	102	139	code	code	NOUN
cana-997	102	140	to	to	PART
cana-997	102	141	find	find	VERB
cana-997	102	142	tokens	token	NOUN
cana-997	102	143	that	that	PRON
cana-997	102	144	seem	seem	VERB
cana-997	102	145	out	out	ADP
cana-997	102	146	of	of	ADP
cana-997	102	147	place	place	NOUN
cana-997	102	148	bug	bug	NOUN
cana-997	102	149	+	+	CCONJ
cana-997	102	150	fixed	fix	VERB
cana-997	102	151	tool	tool	NOUN
cana-997	102	152	trained	train	VERB
cana-997	102	153	on	on	ADP
cana-997	102	154	paired	pair	VERB
cana-997	102	155	examples	example	NOUN
cana-997	102	156	of	of	ADP
cana-997	102	157	buggy	buggy	ADJ
cana-997	102	158	and	and	CCONJ
cana-997	102	159	fixed	fix	VERB
cana-997	102	160	code	code	NOUN
cana-997	102	161	a	a	DET
cana-997	102	162	pair	pair	NOUN
cana-997	102	163	(	(	PUNCT
cana-997	102	164	p	p	X
cana-997	102	165	,	,	PUNCT
cana-997	102	166	p	p	NOUN
cana-997	102	167	°	°	NOUN
cana-997	102	168	)	)	PUNCT
cana-997	102	169	,	,	PUNCT
cana-997	102	170	where	where	SCONJ
cana-997	102	171	p	p	NOUN
cana-997	102	172	is	be	AUX
cana-997	102	173	an	an	DET
cana-997	102	174	incorrect	incorrect	ADJ
cana-997	102	175	program	program	NOUN
cana-997	102	176	and	and	CCONJ
cana-997	102	177	p	p	PROPN
cana-997	102	178	°	°	PROPN
cana-997	102	179	is	be	AUX
cana-997	102	180	its	its	PRON
cana-997	102	181	correct	correct	ADJ
cana-997	102	182	version	version	NOUN
cana-997	102	183	bug	bug	NOUN
cana-997	102	184	+	+	CCONJ
cana-997	102	185	no	no	DET
cana-997	102	186	bug	bug	NOUN
cana-997	102	187	tool	tool	NOUN
cana-997	102	188	trained	train	VERB
cana-997	102	189	on	on	ADP
cana-997	102	190	unpaired	unpaired	ADJ
cana-997	102	191	examples	example	NOUN
cana-997	102	192	of	of	ADP
cana-997	102	193	buggy	buggy	ADJ
cana-997	102	194	and	and	CCONJ
cana-997	102	195	nonbuggy	nonbuggy	PROPN
cana-997	102	196	code	code	PROPN
cana-997	102	197	data	datum	NOUN
cana-997	102	198	set	set	VERB
cana-997	102	199	that	that	PRON
cana-997	102	200	contains	contain	VERB
cana-997	102	201	181,641	181,641	NUM
cana-997	102	202	pieces	piece	NOUN
cana-997	102	203	of	of	ADP
cana-997	102	204	code	code	NOUN
cana-997	102	205	;	;	PUNCT
cana-997	102	206	138,522	138,522	NUM
cana-997	102	207	are	be	AUX
cana-997	102	208	nonvulnerable	nonvulnerable	ADJ
cana-997	102	209	(	(	PUNCT
cana-997	102	210	i.e.	i.e.	X
cana-997	102	211	,	,	PUNCT
cana-997	102	212	not	not	PART
cana-997	102	213	known	know	VERB
cana-997	102	214	to	to	PART
cana-997	102	215	contain	contain	VERB
cana-997	102	216	vulnerabilities	vulnerability	NOUN
cana-997	102	217	)	)	PUNCT
cana-997	102	218	and	and	CCONJ
cana-997	102	219	43,119	43,119	NUM
cana-997	102	220	are	be	AUX
cana-997	102	221	vulnerable	vulnerable	ADJ
cana-997	102	222	label	label	NOUN
cana-997	102	223	yes	yes	INTJ
cana-997	102	224	tool	tool	NOUN
cana-997	102	225	trained	train	VERB
cana-997	102	226	on	on	ADP
cana-997	102	227	labelled	label	VERB
cana-997	102	228	data	datum	NOUN
cana-997	102	229	a	a	DET
cana-997	102	230	program	program	NOUN
cana-997	102	231	is	be	AUX
cana-997	102	232	labelled	label	VERB
cana-997	102	233	as	as	ADP
cana-997	102	234	"	"	PUNCT
cana-997	102	235	good	good	ADJ
cana-997	102	236	,	,	PUNCT
cana-997	102	237	"	"	PUNCT
cana-997	102	238	"	"	PUNCT
cana-997	102	239	bad	bad	ADJ
cana-997	102	240	"	"	PUNCT
cana-997	102	241	or	or	CCONJ
cana-997	102	242	"	"	PUNCT
cana-997	102	243	mixed	mixed	ADJ
cana-997	102	244	"	"	PUNCT
cana-997	102	245	no	no	DET
cana-997	102	246	tool	tool	NOUN
cana-997	102	247	trained	train	VERB
cana-997	102	248	on	on	ADP
cana-997	102	249	unlabelled	unlabelled	ADJ
cana-997	102	250	data	datum	NOUN
cana-997	102	251	self	self	NOUN
cana-997	102	252	-	-	PUNCT
cana-997	102	253	supervised	supervise	VERB
cana-997	102	254	learning	learning	NOUN
cana-997	102	255	with	with	ADP
cana-997	102	256	unlabelled	unlabelled	ADJ
cana-997	102	257	programs	program	NOUN
cana-997	102	258	realism	realism	VERB
cana-997	102	259	real	real	ADJ
cana-997	102	260	data	datum	NOUN
cana-997	102	261	set	set	VERB
cana-997	102	262	consists	consist	VERB
cana-997	102	263	of	of	ADP
cana-997	102	264	mostly	mostly	ADV
cana-997	102	265	real	real	ADJ
cana-997	102	266	programs	program	NOUN
cana-997	102	267	javascript	javascript	NOUN
cana-997	102	268	code	code	NOUN
cana-997	102	269	change	change	NOUN
cana-997	102	270	commits	commit	VERB
cana-997	102	271	collected	collect	VERB
cana-997	102	272	from	from	ADP
cana-997	102	273	github	github	PROPN
cana-997	102	274	semireal	semireal	ADJ
cana-997	102	275	data	datum	NOUN
cana-997	102	276	set	set	VERB
cana-997	102	277	consists	consist	NOUN
cana-997	102	278	of	of	ADP
cana-997	102	279	semirealistic	semirealistic	ADJ
cana-997	102	280	code	code	NOUN
cana-997	102	281	:	:	PUNCT
cana-997	102	282	real	real	ADJ
cana-997	102	283	code	code	NOUN
cana-997	102	284	injected	inject	VERB
cana-997	102	285	with	with	ADP
cana-997	102	286	synthetic	synthetic	ADJ
cana-997	102	287	bugs	bug	NOUN
cana-997	102	288	,	,	PUNCT
cana-997	102	289	or	or	CCONJ
cana-997	102	290	simpler/	simpler/	NUM
cana-997	102	291	beginner	beginner	NOUN
cana-997	102	292	code	code	NOUN
cana-997	102	293	with	with	ADP
cana-997	102	294	real	real	ADJ
cana-997	102	295	mistakes	mistake	NOUN
cana-997	102	296	corpus	corpus	NOUN
cana-997	102	297	of	of	ADP
cana-997	102	298	open	open	ADJ
cana-997	102	299	-	-	PUNCT
cana-997	102	300	source	source	NOUN
cana-997	102	301	python	python	NOUN
cana-997	102	302	projects	project	NOUN
cana-997	102	303	with	with	ADP
cana-997	102	304	synthetically	synthetically	ADV
cana-997	102	305	injected	inject	VERB
cana-997	102	306	bugs	bug	NOUN
cana-997	102	307	and	and	CCONJ
cana-997	102	308	c	c	NOUN
cana-997	102	309	programs	program	NOUN
cana-997	102	310	written	write	VERB
cana-997	102	311	by	by	ADP
cana-997	102	312	students	student	NOUN
cana-997	102	313	for	for	ADP
cana-997	102	314	93	93	NUM
cana-997	102	315	different	different	ADJ
cana-997	102	316	programming	programming	NOUN
cana-997	102	317	tasks	task	NOUN
cana-997	102	318	synthetic	synthetic	ADJ
cana-997	102	319	data	datum	NOUN
cana-997	102	320	set	set	VERB
cana-997	102	321	consists	consist	VERB
cana-997	102	322	of	of	ADP
cana-997	102	323	mainly	mainly	ADV
cana-997	102	324	synthetic	synthetic	ADJ
cana-997	102	325	/	/	SYM
cana-997	102	326	academic	academic	ADJ
cana-997	102	327	code	code	NOUN
cana-997	102	328	juliet	juliet	PROPN
cana-997	102	329	test	test	NOUN
cana-997	102	330	suite	suite	NOUN
cana-997	102	331	,	,	PUNCT
cana-997	102	332	with	with	ADP
cana-997	102	333	81,000	81,000	NUM
cana-997	102	334	synthetic	synthetic	ADJ
cana-997	102	335	c	c	NOUN
cana-997	102	336	/	/	SYM
cana-997	102	337	c++	c++	NOUN
cana-997	102	338	and	and	CCONJ
cana-997	102	339	java	java	NOUN
cana-997	102	340	programs	program	NOUN
cana-997	102	341	with	with	ADP
cana-997	102	342	known	know	VERB
cana-997	102	343	security	security	NOUN
cana-997	102	344	vulnerabilities	vulnerability	NOUN
cana-997	102	345	availability	availability	NOUN
cana-997	102	346	yes	yes	INTJ
cana-997	102	347	data	datum	NOUN
cana-997	102	348	set	set	VERB
cana-997	102	349	and/or	and/or	CCONJ
cana-997	102	350	tool	tool	NOUN
cana-997	102	351	are	be	AUX
cana-997	102	352	publicly	publicly	ADV
cana-997	102	353	available	available	ADJ
cana-997	102	354	no	no	DET
cana-997	102	355	data	datum	NOUN
cana-997	102	356	set	set	VERB
cana-997	102	357	and/or	and/or	CCONJ
cana-997	102	358	tool	tool	NOUN
cana-997	102	359	are	be	AUX
cana-997	102	360	not	not	PART
cana-997	102	361	publicly	publicly	ADV
cana-997	102	362	available	available	ADJ
cana-997	102	363	from	from	ADP
cana-997	102	364	them	they	PRON
cana-997	102	365	using	use	VERB
cana-997	102	366	static	static	ADJ
cana-997	102	367	analysis	analysis	NOUN
cana-997	102	368	techniques	technique	NOUN
cana-997	102	369	.	.	PUNCT
cana-997	103	1	features	feature	NOUN
cana-997	103	2	extracted	extract	VERB
cana-997	103	3	from	from	ADP
cana-997	103	4	functions	function	NOUN
cana-997	103	5	/	/	SYM
cana-997	103	6	methods	method	NOUN
cana-997	103	7	/	/	SYM
cana-997	103	8	classes	class	NOUN
cana-997	103	9	may	may	AUX
cana-997	103	10	include	include	VERB
cana-997	103	11	control	control	NOUN
cana-997	103	12	flow	flow	NOUN
cana-997	103	13	,	,	PUNCT
cana-997	103	14	data	data	NOUN
cana-997	103	15	flow	flow	NOUN
cana-997	103	16	,	,	PUNCT
cana-997	103	17	and	and	CCONJ
cana-997	103	18	code	code	NOUN
cana-997	103	19	metrics	metric	NOUN
cana-997	103	20	such	such	ADJ
cana-997	103	21	as	as	ADP
cana-997	103	22	cyclomatic	cyclomatic	ADJ
cana-997	103	23	complexity	complexity	NOUN
cana-997	103	24	,	,	PUNCT
cana-997	103	25	lines	line	NOUN
cana-997	103	26	of	of	ADP
cana-997	103	27	code	code	NOUN
cana-997	103	28	,	,	PUNCT
cana-997	103	29	and	and	CCONJ
cana-997	103	30	parameter	parameter	PROPN
cana-997	103	31	count	count	NOUN
cana-997	103	32	.	.	PUNCT
cana-997	104	1	control	control	NOUN
cana-997	104	2	flow	flow	NOUN
cana-997	104	3	analysis	analysis	NOUN
cana-997	104	4	analyzes	analyze	VERB
cana-997	104	5	the	the	DET
cana-997	104	6	control	control	NOUN
cana-997	104	7	flow	flow	NOUN
cana-997	104	8	of	of	ADP
cana-997	104	9	a	a	DET
cana-997	104	10	program	program	NOUN
cana-997	104	11	to	to	PART
cana-997	104	12	identify	identify	VERB
cana-997	104	13	potential	potential	ADJ
cana-997	104	14	security	security	NOUN
cana-997	104	15	vulnerabilities	vulnerability	NOUN
cana-997	104	16	.	.	PUNCT
cana-997	105	1	dataflow	dataflow	ADJ
cana-997	105	2	analysis	analysis	NOUN
cana-997	105	3	analyzes	analyze	VERB
cana-997	105	4	how	how	SCONJ
cana-997	105	5	data	datum	NOUN
cana-997	105	6	flows	flow	VERB
cana-997	105	7	through	through	ADP
cana-997	105	8	a	a	DET
cana-997	105	9	program	program	NOUN
cana-997	105	10	.	.	PUNCT
cana-997	106	1	code	code	NOUN
cana-997	106	2	metrics	metric	NOUN
cana-997	106	3	such	such	ADJ
cana-997	106	4	as	as	ADP
cana-997	106	5	cyclomatic	cyclomatic	ADJ
cana-997	106	6	complexity	complexity	NOUN
cana-997	106	7	,	,	PUNCT
cana-997	106	8	number	number	NOUN
cana-997	106	9	of	of	ADP
cana-997	106	10	lines	line	NOUN
cana-997	106	11	of	of	ADP
cana-997	106	12	code	code	NOUN
cana-997	106	13	,	,	PUNCT
cana-997	106	14	and	and	CCONJ
cana-997	106	15	number	number	NOUN
cana-997	106	16	of	of	ADP
cana-997	106	17	parameters	parameter	NOUN
cana-997	106	18	can	can	AUX
cana-997	106	19	provide	provide	VERB
cana-997	106	20	useful	useful	ADJ
cana-997	106	21	information	information	NOUN
cana-997	106	22	about	about	ADP
cana-997	106	23	the	the	DET
cana-997	106	24	complexity	complexity	NOUN
cana-997	106	25	of	of	ADP
cana-997	106	26	functions	function	NOUN
cana-997	106	27	/	/	SYM
cana-997	106	28	methods	method	NOUN
cana-997	106	29	/	/	SYM
cana-997	106	30	classes	class	NOUN
cana-997	106	31	.	.	PUNCT
cana-997	107	1	once	once	SCONJ
cana-997	107	2	features	feature	NOUN
cana-997	107	3	are	be	AUX
cana-997	107	4	extracted	extract	VERB
cana-997	107	5	from	from	ADP
cana-997	107	6	functions	function	NOUN
cana-997	107	7	/	/	SYM
cana-997	107	8	methods	method	NOUN
cana-997	107	9	/	/	SYM
cana-997	107	10	classes	class	NOUN
cana-997	107	11	,	,	PUNCT
cana-997	107	12	the	the	DET
cana-997	107	13	next	next	ADJ
cana-997	107	14	step	step	NOUN
cana-997	107	15	is	be	AUX
cana-997	107	16	to	to	PART
cana-997	107	17	train	train	VERB
cana-997	107	18	a	a	DET
cana-997	107	19	machine	machine	NOUN
cana-997	107	20	learning	learn	VERB
cana-997	107	21	model	model	NOUN
cana-997	107	22	using	use	VERB
cana-997	107	23	the	the	DET
cana-997	107	24	extracted	extract	VERB
cana-997	107	25	table	table	NOUN
cana-997	107	26	2	2	NUM
cana-997	107	27	:	:	PUNCT
cana-997	107	28	common	common	ADJ
cana-997	107	29	software	software	NOUN
cana-997	107	30	vulnerabilities	vulnerabilitie	VERB
cana-997	107	31	communications	communication	NOUN
cana-997	107	32	on	on	ADP
cana-997	107	33	applied	apply	VERB
cana-997	107	34	nonlinear	nonlinear	ADJ
cana-997	107	35	analysis	analysis	NOUN
cana-997	107	36	issn	issn	NOUN
cana-997	107	37	:	:	PUNCT
cana-997	107	38	1074	1074	NUM
cana-997	107	39	-	-	PUNCT
cana-997	107	40	133x	133x	NUM
cana-997	107	41	vol	vol	NOUN
cana-997	107	42	31	31	NUM
cana-997	107	43	no	no	NOUN
cana-997	107	44	.	.	PUNCT
cana-997	108	1	5s	5s	NUM
cana-997	108	2	(	(	PUNCT
cana-997	108	3	2024	2024	NUM
cana-997	108	4	)	)	PUNCT
cana-997	108	5	30	30	NUM
cana-997	109	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	109	2	features	feature	NOUN
cana-997	109	3	and	and	CCONJ
cana-997	109	4	labeled	label	VERB
cana-997	109	5	data	datum	NOUN
cana-997	109	6	.	.	PUNCT
cana-997	110	1	marked	mark	VERB
cana-997	110	2	data	datum	NOUN
cana-997	110	3	may	may	AUX
cana-997	110	4	contain	contain	VERB
cana-997	110	5	information	information	NOUN
cana-997	110	6	about	about	ADP
cana-997	110	7	known	know	VERB
cana-997	110	8	security	security	NOUN
cana-997	110	9	gaps	gap	NOUN
cana-997	110	10	in	in	ADP
cana-997	110	11	software	software	NOUN
cana-997	110	12	systems	system	NOUN
cana-997	110	13	.	.	PUNCT
cana-997	111	1	machine	machine	NOUN
cana-997	111	2	learning	learning	NOUN
cana-997	111	3	models	model	NOUN
cana-997	111	4	can	can	AUX
cana-997	111	5	be	be	AUX
cana-997	111	6	trained	train	VERB
cana-997	111	7	using	use	VERB
cana-997	111	8	supervised	supervise	VERB
cana-997	111	9	learning	learning	NOUN
cana-997	111	10	techniques	technique	NOUN
cana-997	111	11	such	such	ADJ
cana-997	111	12	as	as	ADP
cana-997	111	13	decision	decision	NOUN
cana-997	111	14	trees	tree	NOUN
cana-997	111	15	and	and	CCONJ
cana-997	111	16	support	support	VERB
cana-997	111	17	vector	vector	NOUN
cana-997	111	18	machines	machine	NOUN
cana-997	111	19	.	.	PUNCT
cana-997	112	1	machine	machine	NOUN
cana-997	112	2	learning	learning	NOUN
cana-997	112	3	models	model	NOUN
cana-997	112	4	can	can	AUX
cana-997	112	5	then	then	ADV
cana-997	112	6	be	be	AUX
cana-997	112	7	used	use	VERB
cana-997	112	8	to	to	PART
cana-997	112	9	predict	predict	VERB
cana-997	112	10	potential	potential	ADJ
cana-997	112	11	security	security	NOUN
cana-997	112	12	vulnerabilities	vulnerability	NOUN
cana-997	112	13	in	in	ADP
cana-997	112	14	software	software	NOUN
cana-997	112	15	systems	system	NOUN
cana-997	112	16	.	.	PUNCT
cana-997	113	1	5	5	X
cana-997	113	2	.	.	X
cana-997	113	3	static	static	ADJ
cana-997	113	4	analysis	analysis	NOUN
cana-997	113	5	techniques	technique	NOUN
cana-997	113	6	static	static	ADJ
cana-997	113	7	analysis	analysis	NOUN
cana-997	113	8	techniques	technique	NOUN
cana-997	113	9	are	be	AUX
cana-997	113	10	an	an	DET
cana-997	113	11	important	important	ADJ
cana-997	113	12	aspect	aspect	NOUN
cana-997	113	13	of	of	ADP
cana-997	113	14	the	the	DET
cana-997	113	15	proposed	propose	VERB
cana-997	113	16	approach	approach	NOUN
cana-997	113	17	to	to	ADP
cana-997	113	18	vulnerability	vulnerability	NOUN
cana-997	113	19	prediction	prediction	NOUN
cana-997	113	20	,	,	PUNCT
cana-997	113	21	as	as	SCONJ
cana-997	113	22	they	they	PRON
cana-997	113	23	can	can	AUX
cana-997	113	24	extract	extract	VERB
cana-997	113	25	features	feature	NOUN
cana-997	113	26	from	from	ADP
cana-997	113	27	functions	function	NOUN
cana-997	113	28	/	/	SYM
cana-997	113	29	methods/	methods/	NUM
cana-997	113	30	classes	class	NOUN
cana-997	113	31	of	of	ADP
cana-997	113	32	software	software	NOUN
cana-997	113	33	systems	system	NOUN
cana-997	113	34	.	.	PUNCT
cana-997	114	1	these	these	DET
cana-997	114	2	techniques	technique	NOUN
cana-997	114	3	provide	provide	VERB
cana-997	114	4	a	a	DET
cana-997	114	5	way	way	NOUN
cana-997	114	6	to	to	PART
cana-997	114	7	analyze	analyze	VERB
cana-997	114	8	software	software	NOUN
cana-997	114	9	code	code	NOUN
cana-997	114	10	without	without	ADP
cana-997	114	11	executing	execute	VERB
cana-997	114	12	it	it	PRON
cana-997	114	13	to	to	PART
cana-997	114	14	identify	identify	VERB
cana-997	114	15	potential	potential	ADJ
cana-997	114	16	security	security	NOUN
cana-997	114	17	vulnerabilities	vulnerability	NOUN
cana-997	114	18	in	in	ADP
cana-997	114	19	software	software	NOUN
cana-997	114	20	.	.	PUNCT
cana-997	115	1	below	below	ADV
cana-997	115	2	are	be	AUX
cana-997	115	3	some	some	DET
cana-997	115	4	static	static	ADJ
cana-997	115	5	analysis	analysis	NOUN
cana-997	115	6	techniques	technique	NOUN
cana-997	115	7	that	that	PRON
cana-997	115	8	can	can	AUX
cana-997	115	9	be	be	AUX
cana-997	115	10	used	use	VERB
cana-997	115	11	to	to	PART
cana-997	115	12	extract	extract	VERB
cana-997	115	13	functionality	functionality	NOUN
cana-997	115	14	from	from	ADP
cana-997	115	15	functions	function	NOUN
cana-997	115	16	/	/	SYM
cana-997	115	17	methods	method	NOUN
cana-997	115	18	/	/	SYM
cana-997	115	19	classes	class	NOUN
cana-997	115	20	in	in	ADP
cana-997	115	21	a	a	DET
cana-997	115	22	software	software	NOUN
cana-997	115	23	system	system	NOUN
cana-997	115	24	.	.	PUNCT
cana-997	116	1	a.	a.	NOUN
cana-997	116	2	control	control	PROPN
cana-997	116	3	flow	flow	NOUN
cana-997	116	4	analysis	analysis	NOUN
cana-997	116	5	control	control	NOUN
cana-997	116	6	flow	flow	NOUN
cana-997	116	7	analysis	analysis	NOUN
cana-997	116	8	is	be	AUX
cana-997	116	9	a	a	DET
cana-997	116	10	static	static	ADJ
cana-997	116	11	analysis	analysis	NOUN
cana-997	116	12	technique	technique	NOUN
cana-997	116	13	that	that	PRON
cana-997	116	14	analyzes	analyze	VERB
cana-997	116	15	the	the	DET
cana-997	116	16	control	control	NOUN
cana-997	116	17	flow	flow	NOUN
cana-997	116	18	of	of	ADP
cana-997	116	19	a	a	DET
cana-997	116	20	program	program	NOUN
cana-997	116	21	.	.	PUNCT
cana-997	117	1	this	this	DET
cana-997	117	2	technique	technique	NOUN
cana-997	117	3	can	can	AUX
cana-997	117	4	be	be	AUX
cana-997	117	5	used	use	VERB
cana-997	117	6	to	to	PART
cana-997	117	7	identify	identify	VERB
cana-997	117	8	potential	potential	ADJ
cana-997	117	9	security	security	NOUN
cana-997	117	10	vulnerabilities	vulnerability	NOUN
cana-997	117	11	related	relate	VERB
cana-997	117	12	to	to	AUX
cana-997	117	13	control	control	NOUN
cana-997	117	14	flow	flow	NOUN
cana-997	117	15	such	such	ADJ
cana-997	117	16	as	as	ADP
cana-997	117	17	:	:	PUNCT
cana-997	117	18	b.	b.	NOUN
cana-997	117	19	buffer	buffer	NOUN
cana-997	117	20	overflow	overflow	NOUN
cana-997	117	21	vulnerabilities	vulnerability	NOUN
cana-997	117	22	,	,	PUNCT
cana-997	117	23	integer	integer	NOUN
cana-997	117	24	overflow	overflow	NOUN
cana-997	117	25	vulnerabilities	vulnerability	NOUN
cana-997	117	26	,	,	PUNCT
cana-997	117	27	or	or	CCONJ
cana-997	117	28	other	other	ADJ
cana-997	117	29	types	type	NOUN
cana-997	117	30	of	of	ADP
cana-997	117	31	security	security	NOUN
cana-997	117	32	vulnerabilities	vulnerability	NOUN
cana-997	117	33	.	.	PUNCT
cana-997	118	1	control	control	NOUN
cana-997	118	2	flow	flow	NOUN
cana-997	118	3	analysis	analysis	NOUN
cana-997	118	4	helps	helps	AUX
cana-997	118	5	identify	identify	VERB
cana-997	118	6	code	code	NOUN
cana-997	118	7	paths	path	NOUN
cana-997	118	8	that	that	PRON
cana-997	118	9	can	can	AUX
cana-997	118	10	lead	lead	VERB
cana-997	118	11	to	to	ADP
cana-997	118	12	these	these	DET
cana-997	118	13	types	type	NOUN
cana-997	118	14	of	of	ADP
cana-997	118	15	vulnerabilities	vulnerability	NOUN
cana-997	118	16	.	.	PUNCT
cana-997	119	1	this	this	DET
cana-997	119	2	technique	technique	NOUN
cana-997	119	3	focuses	focus	VERB
cana-997	119	4	on	on	ADP
cana-997	119	5	identifying	identify	VERB
cana-997	119	6	the	the	DET
cana-997	119	7	flow	flow	NOUN
cana-997	119	8	of	of	ADP
cana-997	119	9	program	program	NOUN
cana-997	119	10	execution	execution	NOUN
cana-997	119	11	and	and	CCONJ
cana-997	119	12	can	can	AUX
cana-997	119	13	be	be	AUX
cana-997	119	14	used	use	VERB
cana-997	119	15	to	to	PART
cana-997	119	16	identify	identify	VERB
cana-997	119	17	the	the	DET
cana-997	119	18	conditions	condition	NOUN
cana-997	119	19	under	under	ADP
cana-997	119	20	which	which	PRON
cana-997	119	21	certain	certain	ADJ
cana-997	119	22	parts	part	NOUN
cana-997	119	23	of	of	ADP
cana-997	119	24	the	the	DET
cana-997	119	25	program	program	NOUN
cana-997	119	26	execute	execute	NOUN
cana-997	119	27	.	.	PUNCT
cana-997	120	1	one	one	NUM
cana-997	120	2	of	of	ADP
cana-997	120	3	the	the	DET
cana-997	120	4	main	main	ADJ
cana-997	120	5	goals	goal	NOUN
cana-997	120	6	of	of	ADP
cana-997	120	7	control	control	NOUN
cana-997	120	8	flow	flow	NOUN
cana-997	120	9	analysis	analysis	NOUN
cana-997	120	10	is	be	AUX
cana-997	120	11	to	to	PART
cana-997	120	12	identify	identify	VERB
cana-997	120	13	code	code	NOUN
cana-997	120	14	paths	path	NOUN
cana-997	120	15	that	that	PRON
cana-997	120	16	can	can	AUX
cana-997	120	17	lead	lead	VERB
cana-997	120	18	to	to	ADP
cana-997	120	19	security	security	NOUN
cana-997	120	20	vulnerabilities	vulnerability	NOUN
cana-997	120	21	such	such	ADJ
cana-997	120	22	as	as	ADP
cana-997	120	23	:	:	PUNCT
cana-997	120	24	b.	b.	NOUN
cana-997	120	25	buffer	buffer	NOUN
cana-997	120	26	overflow	overflow	NOUN
cana-997	120	27	vulnerabilities	vulnerability	NOUN
cana-997	120	28	or	or	CCONJ
cana-997	120	29	other	other	ADJ
cana-997	120	30	types	type	NOUN
cana-997	120	31	of	of	ADP
cana-997	120	32	security	security	NOUN
cana-997	120	33	vulnerabilities	vulnerability	NOUN
cana-997	120	34	.	.	PUNCT
cana-997	121	1	for	for	ADP
cana-997	121	2	example	example	NOUN
cana-997	121	3	,	,	PUNCT
cana-997	121	4	executing	execute	VERB
cana-997	121	5	if	if	SCONJ
cana-997	121	6	statements	statement	NOUN
cana-997	121	7	under	under	ADP
cana-997	121	8	certain	certain	ADJ
cana-997	121	9	conditions	condition	NOUN
cana-997	121	10	can	can	AUX
cana-997	121	11	lead	lead	VERB
cana-997	121	12	to	to	PART
cana-997	121	13	buffer	buffer	VERB
cana-997	121	14	overflow	overflow	NOUN
cana-997	121	15	vulnerabilities	vulnerability	NOUN
cana-997	121	16	.	.	PUNCT
cana-997	122	1	control	control	NOUN
cana-997	122	2	flow	flow	NOUN
cana-997	122	3	analysis	analysis	NOUN
cana-997	122	4	helps	helps	AUX
cana-997	122	5	identify	identify	VERB
cana-997	122	6	conditions	condition	NOUN
cana-997	122	7	and	and	CCONJ
cana-997	122	8	code	code	NOUN
cana-997	122	9	paths	path	NOUN
cana-997	122	10	that	that	PRON
cana-997	122	11	can	can	AUX
cana-997	122	12	lead	lead	VERB
cana-997	122	13	to	to	ADP
cana-997	122	14	security	security	NOUN
cana-997	122	15	vulnerabilities	vulnerability	NOUN
cana-997	122	16	.	.	PUNCT
cana-997	123	1	control	control	NOUN
cana-997	123	2	flow	flow	NOUN
cana-997	123	3	analysis	analysis	NOUN
cana-997	123	4	can	can	AUX
cana-997	123	5	be	be	AUX
cana-997	123	6	performed	perform	VERB
cana-997	123	7	using	use	VERB
cana-997	123	8	various	various	ADJ
cana-997	123	9	techniques	technique	NOUN
cana-997	123	10	such	such	ADJ
cana-997	123	11	as	as	ADP
cana-997	123	12	:	:	PUNCT
cana-997	123	13	b.	b.	PROPN
cana-997	123	14	dataflow	dataflow	ADJ
cana-997	123	15	analysis	analysis	NOUN
cana-997	123	16	,	,	PUNCT
cana-997	123	17	symbolic	symbolic	ADJ
cana-997	123	18	execution	execution	NOUN
cana-997	123	19	,	,	PUNCT
cana-997	123	20	or	or	CCONJ
cana-997	123	21	abstract	abstract	ADJ
cana-997	123	22	interpretation	interpretation	NOUN
cana-997	123	23	.	.	PUNCT
cana-997	124	1	dataflow	dataflow	ADJ
cana-997	124	2	analysis	analysis	NOUN
cana-997	124	3	is	be	AUX
cana-997	124	4	a	a	DET
cana-997	124	5	technique	technique	NOUN
cana-997	124	6	of	of	ADP
cana-997	124	7	analyzing	analyze	VERB
cana-997	124	8	how	how	SCONJ
cana-997	124	9	data	datum	NOUN
cana-997	124	10	flows	flow	VERB
cana-997	124	11	through	through	ADP
cana-997	124	12	a	a	DET
cana-997	124	13	program	program	NOUN
cana-997	124	14	,	,	PUNCT
cana-997	124	15	and	and	CCONJ
cana-997	124	16	symbolic	symbolic	ADJ
cana-997	124	17	execution	execution	NOUN
cana-997	124	18	is	be	AUX
cana-997	124	19	a	a	DET
cana-997	124	20	technique	technique	NOUN
cana-997	124	21	of	of	ADP
cana-997	124	22	simulating	simulate	VERB
cana-997	124	23	program	program	NOUN
cana-997	124	24	execution	execution	NOUN
cana-997	124	25	using	use	VERB
cana-997	124	26	symbolic	symbolic	ADJ
cana-997	124	27	inputs	input	NOUN
cana-997	124	28	instead	instead	ADV
cana-997	124	29	of	of	ADP
cana-997	124	30	concrete	concrete	ADJ
cana-997	124	31	inputs	input	NOUN
cana-997	124	32	.	.	PUNCT
cana-997	125	1	abstract	abstract	ADJ
cana-997	125	2	interpretation	interpretation	NOUN
cana-997	125	3	is	be	AUX
cana-997	125	4	a	a	DET
cana-997	125	5	technique	technique	NOUN
cana-997	125	6	for	for	ADP
cana-997	125	7	analyzing	analyze	VERB
cana-997	125	8	program	program	NOUN
cana-997	125	9	behavior	behavior	NOUN
cana-997	125	10	using	use	VERB
cana-997	125	11	mathematical	mathematical	ADJ
cana-997	125	12	models	model	NOUN
cana-997	125	13	.	.	PUNCT
cana-997	126	1	control	control	NOUN
cana-997	126	2	flow	flow	NOUN
cana-997	126	3	analysis	analysis	NOUN
cana-997	126	4	helps	helps	AUX
cana-997	126	5	identify	identify	VERB
cana-997	126	6	potential	potential	ADJ
cana-997	126	7	security	security	NOUN
cana-997	126	8	vulnerabilities	vulnerability	NOUN
cana-997	126	9	in	in	ADP
cana-997	126	10	several	several	ADJ
cana-997	126	11	ways	way	NOUN
cana-997	126	12	.	.	PUNCT
cana-997	127	1	for	for	ADP
cana-997	127	2	example	example	NOUN
cana-997	127	3	,	,	PUNCT
cana-997	127	4	analyzing	analyze	VERB
cana-997	127	5	the	the	DET
cana-997	127	6	conditions	condition	NOUN
cana-997	127	7	under	under	ADP
cana-997	127	8	which	which	PRON
cana-997	127	9	a	a	DET
cana-997	127	10	particular	particular	ADJ
cana-997	127	11	code	code	NOUN
cana-997	127	12	path	path	NOUN
cana-997	127	13	executes	execute	NOUN
cana-997	127	14	can	can	AUX
cana-997	127	15	help	help	AUX
cana-997	127	16	identify	identify	VERB
cana-997	127	17	buffer	buffer	NOUN
cana-997	127	18	overflow	overflow	NOUN
cana-997	127	19	vulnerabilities	vulnerability	NOUN
cana-997	127	20	.	.	PUNCT
cana-997	128	1	it	it	PRON
cana-997	128	2	can	can	AUX
cana-997	128	3	also	also	ADV
cana-997	128	4	help	help	VERB
cana-997	128	5	identify	identify	VERB
cana-997	128	6	sql	sql	NOUN
cana-997	128	7	injection	injection	NOUN
cana-997	128	8	vulnerabilities	vulnerability	NOUN
cana-997	128	9	by	by	ADP
cana-997	128	10	analyzing	analyze	VERB
cana-997	128	11	how	how	SCONJ
cana-997	128	12	user	user	NOUN
cana-997	128	13	input	input	NOUN
cana-997	128	14	is	be	AUX
cana-997	128	15	used	use	VERB
cana-997	128	16	in	in	ADP
cana-997	128	17	programs	program	NOUN
cana-997	128	18	.	.	PUNCT
cana-997	129	1	in	in	ADP
cana-997	129	2	summary	summary	NOUN
cana-997	129	3	,	,	PUNCT
cana-997	129	4	control	control	NOUN
cana-997	129	5	flow	flow	NOUN
cana-997	129	6	analysis	analysis	NOUN
cana-997	129	7	is	be	AUX
cana-997	129	8	an	an	DET
cana-997	129	9	important	important	ADJ
cana-997	129	10	static	static	ADJ
cana-997	129	11	analysis	analysis	NOUN
cana-997	129	12	technique	technique	NOUN
cana-997	129	13	that	that	PRON
cana-997	129	14	helps	helps	AUX
cana-997	129	15	identify	identify	VERB
cana-997	129	16	potential	potential	ADJ
cana-997	129	17	security	security	NOUN
cana-997	129	18	vulnerabilities	vulnerability	NOUN
cana-997	129	19	in	in	ADP
cana-997	129	20	software	software	NOUN
cana-997	129	21	systems	system	NOUN
cana-997	129	22	.	.	PUNCT
cana-997	130	1	by	by	ADP
cana-997	130	2	analyzing	analyze	VERB
cana-997	130	3	a	a	DET
cana-997	130	4	program	program	NOUN
cana-997	130	5	’s	’s	PART
cana-997	130	6	control	control	NOUN
cana-997	130	7	flow	flow	NOUN
cana-997	130	8	,	,	PUNCT
cana-997	130	9	this	this	DET
cana-997	130	10	technique	technique	NOUN
cana-997	130	11	helps	helps	AUX
cana-997	130	12	identify	identify	VERB
cana-997	130	13	code	code	NOUN
cana-997	130	14	paths	path	NOUN
cana-997	130	15	that	that	PRON
cana-997	130	16	can	can	AUX
cana-997	130	17	lead	lead	VERB
cana-997	130	18	to	to	ADP
cana-997	130	19	security	security	NOUN
cana-997	130	20	vulnerabilities	vulnerability	NOUN
cana-997	130	21	,	,	PUNCT
cana-997	130	22	such	such	ADJ
cana-997	130	23	as	as	ADP
cana-997	130	24	:	:	PUNCT
cana-997	130	25	b.	b.	NOUN
cana-997	130	26	buffer	buffer	NOUN
cana-997	130	27	overflow	overflow	NOUN
cana-997	130	28	vulnerabilities	vulnerability	NOUN
cana-997	130	29	or	or	CCONJ
cana-997	130	30	other	other	ADJ
cana-997	130	31	types	type	NOUN
cana-997	130	32	of	of	ADP
cana-997	130	33	security	security	NOUN
cana-997	130	34	vulnerabilities	vulnerability	NOUN
cana-997	130	35	.	.	PUNCT
cana-997	131	1	control	control	NOUN
cana-997	131	2	flow	flow	NOUN
cana-997	131	3	analysis	analysis	NOUN
cana-997	131	4	can	can	AUX
cana-997	131	5	be	be	AUX
cana-997	131	6	performed	perform	VERB
cana-997	131	7	using	use	VERB
cana-997	131	8	various	various	ADJ
cana-997	131	9	techniques	technique	NOUN
cana-997	131	10	such	such	ADJ
cana-997	131	11	as	as	ADP
cana-997	131	12	:	:	PUNCT
cana-997	131	13	b.	b.	PROPN
cana-997	131	14	data	data	PROPN
cana-997	131	15	flow	flow	NOUN
cana-997	131	16	analysis	analysis	NOUN
cana-997	131	17	,	,	PUNCT
cana-997	131	18	symbolic	symbolic	ADJ
cana-997	131	19	execution	execution	NOUN
cana-997	131	20	or	or	CCONJ
cana-997	131	21	abstract	abstract	ADJ
cana-997	131	22	interpretation	interpretation	NOUN
cana-997	131	23	.	.	PUNCT
cana-997	132	1	it	it	PRON
cana-997	132	2	can	can	AUX
cana-997	132	3	provide	provide	VERB
cana-997	132	4	useful	useful	ADJ
cana-997	132	5	insight	insight	NOUN
cana-997	132	6	into	into	ADP
cana-997	132	7	program	program	NOUN
cana-997	132	8	behavior	behavior	NOUN
cana-997	132	9	.	.	PUNCT
cana-997	133	1	b.	b.	PROPN
cana-997	133	2	data	data	PROPN
cana-997	133	3	flow	flow	VERB
cana-997	133	4	analysis	analysis	NOUN
cana-997	133	5	dataflow	dataflow	ADJ
cana-997	133	6	analysis	analysis	NOUN
cana-997	133	7	is	be	AUX
cana-997	133	8	a	a	DET
cana-997	133	9	static	static	ADJ
cana-997	133	10	analysis	analysis	NOUN
cana-997	133	11	technique	technique	NOUN
cana-997	133	12	used	use	VERB
cana-997	133	13	to	to	PART
cana-997	133	14	analyze	analyze	VERB
cana-997	133	15	how	how	SCONJ
cana-997	133	16	data	datum	NOUN
cana-997	133	17	flows	flow	VERB
cana-997	133	18	through	through	ADP
cana-997	133	19	a	a	DET
cana-997	133	20	program	program	NOUN
cana-997	133	21	.	.	PUNCT
cana-997	134	1	you	you	PRON
cana-997	134	2	can	can	AUX
cana-997	134	3	use	use	VERB
cana-997	134	4	this	this	DET
cana-997	134	5	technique	technique	NOUN
cana-997	134	6	to	to	PART
cana-997	134	7	detect	detect	VERB
cana-997	134	8	how	how	SCONJ
cana-997	134	9	user	user	NOUN
cana-997	134	10	input	input	NOUN
cana-997	134	11	is	be	AUX
cana-997	134	12	used	use	VERB
cana-997	134	13	in	in	ADP
cana-997	134	14	your	your	PRON
cana-997	134	15	program	program	NOUN
cana-997	134	16	and	and	CCONJ
cana-997	134	17	whether	whether	SCONJ
cana-997	134	18	this	this	PRON
cana-997	134	19	can	can	AUX
cana-997	134	20	lead	lead	VERB
cana-997	134	21	to	to	ADP
cana-997	134	22	security	security	NOUN
cana-997	134	23	vulnerabilities	vulnerability	NOUN
cana-997	134	24	such	such	ADJ
cana-997	134	25	as	as	ADP
cana-997	134	26	sql	sql	NOUN
cana-997	134	27	injection	injection	NOUN
cana-997	134	28	or	or	CCONJ
cana-997	134	29	cross	cross	NOUN
cana-997	134	30	-	-	ADJ
cana-997	134	31	site	site	ADJ
cana-997	134	32	scripting	scripting	NOUN
cana-997	134	33	.	.	PUNCT
cana-997	135	1	data	datum	NOUN
cana-997	135	2	flow	flow	NOUN
cana-997	135	3	analysis	analysis	NOUN
cana-997	135	4	helps	helps	AUX
cana-997	135	5	identify	identify	VERB
cana-997	135	6	possible	possible	ADJ
cana-997	135	7	data	datum	NOUN
cana-997	135	8	paths	path	NOUN
cana-997	135	9	leading	lead	VERB
cana-997	135	10	to	to	ADP
cana-997	135	11	such	such	ADJ
cana-997	135	12	vulnerabilities	vulnerability	NOUN
cana-997	135	13	.	.	PUNCT
cana-997	136	1	this	this	DET
cana-997	136	2	technique	technique	NOUN
cana-997	136	3	helps	help	VERB
cana-997	136	4	detect	detect	VERB
cana-997	136	5	how	how	SCONJ
cana-997	136	6	user	user	NOUN
cana-997	136	7	input	input	NOUN
cana-997	136	8	is	be	AUX
cana-997	136	9	used	use	VERB
cana-997	136	10	in	in	ADP
cana-997	136	11	programs	program	NOUN
cana-997	136	12	and	and	CCONJ
cana-997	136	13	whether	whether	SCONJ
cana-997	136	14	this	this	PRON
cana-997	136	15	can	can	AUX
cana-997	136	16	lead	lead	VERB
cana-997	136	17	to	to	ADP
cana-997	136	18	security	security	NOUN
cana-997	136	19	vulnerabilities	vulnerability	NOUN
cana-997	136	20	such	such	ADJ
cana-997	136	21	as	as	ADP
cana-997	136	22	sql	sql	NOUN
cana-997	136	23	injection	injection	NOUN
cana-997	136	24	or	or	CCONJ
cana-997	136	25	crosscommunications	crosscommunication	NOUN
cana-997	136	26	on	on	ADP
cana-997	136	27	applied	apply	VERB
cana-997	136	28	nonlinear	nonlinear	ADJ
cana-997	136	29	analysis	analysis	NOUN
cana-997	136	30	issn	issn	NOUN
cana-997	136	31	:	:	PUNCT
cana-997	136	32	1074	1074	NUM
cana-997	136	33	-	-	PUNCT
cana-997	136	34	133x	133x	NUM
cana-997	136	35	vol	vol	NOUN
cana-997	136	36	31	31	NUM
cana-997	136	37	no	no	NOUN
cana-997	136	38	.	.	PUNCT
cana-997	137	1	5s	5s	NUM
cana-997	137	2	(	(	PUNCT
cana-997	137	3	2024	2024	NUM
cana-997	137	4	)	)	PUNCT
cana-997	137	5	31	31	NUM
cana-997	137	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	137	7	site	site	NOUN
cana-997	137	8	scripting	scripting	NOUN
cana-997	137	9	.	.	PUNCT
cana-997	138	1	data	datum	NOUN
cana-997	138	2	flow	flow	NOUN
cana-997	138	3	analysis	analysis	NOUN
cana-997	138	4	also	also	ADV
cana-997	138	5	helps	help	VERB
cana-997	138	6	you	you	PRON
cana-997	138	7	see	see	VERB
cana-997	138	8	how	how	SCONJ
cana-997	138	9	data	datum	NOUN
cana-997	138	10	is	be	AUX
cana-997	138	11	processed	process	VERB
cana-997	138	12	and	and	CCONJ
cana-997	138	13	transformed	transform	VERB
cana-997	138	14	within	within	ADP
cana-997	138	15	your	your	PRON
cana-997	138	16	program	program	NOUN
cana-997	138	17	.	.	PUNCT
cana-997	139	1	data	datum	NOUN
cana-997	139	2	flow	flow	NOUN
cana-997	139	3	analysis	analysis	NOUN
cana-997	139	4	can	can	AUX
cana-997	139	5	be	be	AUX
cana-997	139	6	performed	perform	VERB
cana-997	139	7	using	use	VERB
cana-997	139	8	a	a	DET
cana-997	139	9	variety	variety	NOUN
cana-997	139	10	of	of	ADP
cana-997	139	11	techniques	technique	NOUN
cana-997	139	12	,	,	PUNCT
cana-997	139	13	including	include	VERB
cana-997	139	14	:	:	PUNCT
cana-997	139	15	b.	b.	PROPN
cana-997	139	16	analyzing	analyze	VERB
cana-997	139	17	program	program	NOUN
cana-997	139	18	slicing	slicing	NOUN
cana-997	139	19	or	or	CCONJ
cana-997	139	20	data	data	NOUN
cana-997	139	21	dependencies	dependency	NOUN
cana-997	139	22	.	.	PUNCT
cana-997	140	1	program	program	NOUN
cana-997	140	2	slices	slice	NOUN
cana-997	140	3	identify	identify	VERB
cana-997	140	4	code	code	NOUN
cana-997	140	5	statements	statement	NOUN
cana-997	140	6	that	that	PRON
cana-997	140	7	are	be	AUX
cana-997	140	8	relevant	relevant	ADJ
cana-997	140	9	to	to	ADP
cana-997	140	10	program	program	NOUN
cana-997	140	11	behavior	behavior	NOUN
cana-997	140	12	,	,	PUNCT
cana-997	140	13	and	and	CCONJ
cana-997	140	14	data	datum	NOUN
cana-997	140	15	dependency	dependency	NOUN
cana-997	140	16	analysis	analysis	NOUN
cana-997	140	17	identifies	identify	VERB
cana-997	140	18	how	how	SCONJ
cana-997	140	19	data	datum	NOUN
cana-997	140	20	flows	flow	VERB
cana-997	140	21	through	through	ADP
cana-997	140	22	the	the	DET
cana-997	140	23	program	program	NOUN
cana-997	140	24	.	.	PUNCT
cana-997	141	1	one	one	NUM
cana-997	141	2	of	of	ADP
cana-997	141	3	the	the	DET
cana-997	141	4	main	main	ADJ
cana-997	141	5	purposes	purpose	NOUN
cana-997	141	6	of	of	ADP
cana-997	141	7	data	datum	NOUN
cana-997	141	8	flow	flow	NOUN
cana-997	141	9	analysis	analysis	NOUN
cana-997	141	10	is	be	AUX
cana-997	141	11	to	to	PART
cana-997	141	12	determine	determine	VERB
cana-997	141	13	how	how	SCONJ
cana-997	141	14	user	user	NOUN
cana-997	141	15	input	input	NOUN
cana-997	141	16	is	be	AUX
cana-997	141	17	used	use	VERB
cana-997	141	18	in	in	ADP
cana-997	141	19	your	your	PRON
cana-997	141	20	program	program	NOUN
cana-997	141	21	.	.	PUNCT
cana-997	142	1	user	user	NOUN
cana-997	142	2	input	input	PROPN
cana-997	142	3	is	be	AUX
cana-997	142	4	a	a	DET
cana-997	142	5	common	common	ADJ
cana-997	142	6	source	source	NOUN
cana-997	142	7	of	of	ADP
cana-997	142	8	security	security	NOUN
cana-997	142	9	vulnerabilities	vulnerability	NOUN
cana-997	142	10	such	such	ADJ
cana-997	142	11	as	as	ADP
cana-997	142	12	sql	sql	NOUN
cana-997	142	13	injection	injection	NOUN
cana-997	142	14	and	and	CCONJ
cana-997	142	15	cross	cross	NOUN
cana-997	142	16	-	-	NOUN
cana-997	142	17	site	site	ADJ
cana-997	142	18	scripting	scripting	NOUN
cana-997	142	19	[	[	X
cana-997	142	20	4	4	NUM
cana-997	142	21	]	]	PUNCT
cana-997	142	22	.	.	PUNCT
cana-997	143	1	by	by	ADP
cana-997	143	2	analyzing	analyze	VERB
cana-997	143	3	how	how	SCONJ
cana-997	143	4	user	user	NOUN
cana-997	143	5	input	input	NOUN
cana-997	143	6	flows	flow	VERB
cana-997	143	7	through	through	ADP
cana-997	143	8	a	a	DET
cana-997	143	9	program	program	NOUN
cana-997	143	10	,	,	PUNCT
cana-997	143	11	data	datum	NOUN
cana-997	143	12	flow	flow	NOUN
cana-997	143	13	analysis	analysis	NOUN
cana-997	143	14	helps	helps	AUX
cana-997	143	15	determine	determine	VERB
cana-997	143	16	how	how	SCONJ
cana-997	143	17	it	it	PRON
cana-997	143	18	is	be	AUX
cana-997	143	19	processed	process	VERB
cana-997	143	20	and	and	CCONJ
cana-997	143	21	used	use	VERB
cana-997	143	22	in	in	ADP
cana-997	143	23	a	a	DET
cana-997	143	24	safe	safe	ADJ
cana-997	143	25	manner	manner	NOUN
cana-997	143	26	.	.	PUNCT
cana-997	144	1	for	for	ADP
cana-997	144	2	example	example	NOUN
cana-997	144	3	,	,	PUNCT
cana-997	144	4	in	in	ADP
cana-997	144	5	a	a	DET
cana-997	144	6	program	program	NOUN
cana-997	144	7	that	that	PRON
cana-997	144	8	interacts	interact	VERB
cana-997	144	9	with	with	ADP
cana-997	144	10	a	a	DET
cana-997	144	11	database	database	NOUN
cana-997	144	12	,	,	PUNCT
cana-997	144	13	data	datum	NOUN
cana-997	144	14	flow	flow	NOUN
cana-997	144	15	analysis	analysis	NOUN
cana-997	144	16	can	can	AUX
cana-997	144	17	determine	determine	VERB
cana-997	144	18	how	how	SCONJ
cana-997	144	19	to	to	PART
cana-997	144	20	use	use	VERB
cana-997	144	21	user	user	NOUN
cana-997	144	22	input	input	NOUN
cana-997	144	23	to	to	PART
cana-997	144	24	construct	construct	VERB
cana-997	144	25	sql	sql	NOUN
cana-997	144	26	queries	query	NOUN
cana-997	144	27	.	.	PUNCT
cana-997	145	1	failure	failure	NOUN
cana-997	145	2	to	to	PART
cana-997	145	3	properly	properly	ADV
cana-997	145	4	validate	validate	VERB
cana-997	145	5	or	or	CCONJ
cana-997	145	6	sanitize	sanitize	VERB
cana-997	145	7	user	user	NOUN
cana-997	145	8	input	input	NOUN
cana-997	145	9	can	can	AUX
cana-997	145	10	lead	lead	VERB
cana-997	145	11	to	to	ADP
cana-997	145	12	sql	sql	NOUN
cana-997	145	13	injection	injection	NOUN
cana-997	145	14	vulnerabilities	vulnerability	NOUN
cana-997	145	15	.	.	PUNCT
cana-997	146	1	by	by	ADP
cana-997	146	2	analyzing	analyze	VERB
cana-997	146	3	a	a	DET
cana-997	146	4	program	program	NOUN
cana-997	146	5	’s	’s	PART
cana-997	146	6	data	datum	NOUN
cana-997	146	7	flow	flow	NOUN
cana-997	146	8	,	,	PUNCT
cana-997	146	9	data	datum	NOUN
cana-997	146	10	flow	flow	NOUN
cana-997	146	11	analysis	analysis	NOUN
cana-997	146	12	can	can	AUX
cana-997	146	13	identify	identify	VERB
cana-997	146	14	potential	potential	ADJ
cana-997	146	15	security	security	NOUN
cana-997	146	16	vulnerabilities	vulnerability	NOUN
cana-997	146	17	related	relate	VERB
cana-997	146	18	to	to	ADP
cana-997	146	19	user	user	NOUN
cana-997	146	20	input	input	NOUN
cana-997	146	21	.	.	PUNCT
cana-997	147	1	data	datum	NOUN
cana-997	147	2	flow	flow	NOUN
cana-997	147	3	analysis	analysis	NOUN
cana-997	147	4	not	not	PART
cana-997	147	5	only	only	ADV
cana-997	147	6	identifies	identify	VERB
cana-997	147	7	potential	potential	ADJ
cana-997	147	8	security	security	NOUN
cana-997	147	9	vulnerabilities	vulnerability	NOUN
cana-997	147	10	related	relate	VERB
cana-997	147	11	to	to	ADP
cana-997	147	12	user	user	NOUN
cana-997	147	13	input	input	NOUN
cana-997	147	14	,	,	PUNCT
cana-997	147	15	but	but	CCONJ
cana-997	147	16	also	also	ADV
cana-997	147	17	helps	help	VERB
cana-997	147	18	determine	determine	VERB
cana-997	147	19	how	how	SCONJ
cana-997	147	20	data	datum	NOUN
cana-997	147	21	is	be	AUX
cana-997	147	22	processed	process	VERB
cana-997	147	23	and	and	CCONJ
cana-997	147	24	transformed	transform	VERB
cana-997	147	25	within	within	ADP
cana-997	147	26	a	a	DET
cana-997	147	27	program	program	NOUN
cana-997	147	28	.	.	PUNCT
cana-997	148	1	data	datum	NOUN
cana-997	148	2	flow	flow	NOUN
cana-997	148	3	analysis	analysis	NOUN
cana-997	148	4	can	can	AUX
cana-997	148	5	determine	determine	VERB
cana-997	148	6	how	how	SCONJ
cana-997	148	7	data	datum	NOUN
cana-997	148	8	is	be	AUX
cana-997	148	9	transformed	transform	VERB
cana-997	148	10	and	and	CCONJ
cana-997	148	11	used	use	VERB
cana-997	148	12	safely	safely	ADV
cana-997	148	13	by	by	ADP
cana-997	148	14	analyzing	analyze	VERB
cana-997	148	15	the	the	DET
cana-997	148	16	flow	flow	NOUN
cana-997	148	17	of	of	ADP
cana-997	148	18	data	datum	NOUN
cana-997	148	19	in	in	ADP
cana-997	148	20	a	a	DET
cana-997	148	21	program	program	NOUN
cana-997	148	22	.	.	PUNCT
cana-997	149	1	in	in	ADP
cana-997	149	2	summary	summary	NOUN
cana-997	149	3	,	,	PUNCT
cana-997	149	4	data	datum	NOUN
cana-997	149	5	flow	flow	NOUN
cana-997	149	6	analysis	analysis	NOUN
cana-997	149	7	is	be	AUX
cana-997	149	8	an	an	DET
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cana-997	149	10	static	static	ADJ
cana-997	149	11	analysis	analysis	NOUN
cana-997	149	12	technique	technique	NOUN
cana-997	149	13	that	that	PRON
cana-997	149	14	helps	helps	AUX
cana-997	149	15	identify	identify	VERB
cana-997	149	16	potential	potential	ADJ
cana-997	149	17	security	security	NOUN
cana-997	149	18	vulnerabilities	vulnerability	NOUN
cana-997	149	19	in	in	ADP
cana-997	149	20	software	software	NOUN
cana-997	149	21	systems	system	NOUN
cana-997	149	22	.	.	PUNCT
cana-997	150	1	by	by	ADP
cana-997	150	2	analyzing	analyze	VERB
cana-997	150	3	the	the	DET
cana-997	150	4	flow	flow	NOUN
cana-997	150	5	of	of	ADP
cana-997	150	6	data	datum	NOUN
cana-997	150	7	through	through	ADP
cana-997	150	8	a	a	DET
cana-997	150	9	program	program	NOUN
cana-997	150	10	,	,	PUNCT
cana-997	150	11	this	this	DET
cana-997	150	12	technique	technique	NOUN
cana-997	150	13	reveals	reveal	VERB
cana-997	150	14	how	how	SCONJ
cana-997	150	15	user	user	NOUN
cana-997	150	16	input	input	NOUN
cana-997	150	17	is	be	AUX
cana-997	150	18	used	use	VERB
cana-997	150	19	by	by	ADP
cana-997	150	20	the	the	DET
cana-997	150	21	program	program	NOUN
cana-997	150	22	and	and	CCONJ
cana-997	150	23	how	how	SCONJ
cana-997	150	24	this	this	PRON
cana-997	150	25	can	can	AUX
cana-997	150	26	lead	lead	VERB
cana-997	150	27	to	to	ADP
cana-997	150	28	security	security	NOUN
cana-997	150	29	vulnerabilities	vulnerability	NOUN
cana-997	150	30	such	such	ADJ
cana-997	150	31	as	as	ADP
cana-997	150	32	sql	sql	NOUN
cana-997	150	33	injection	injection	NOUN
cana-997	150	34	and	and	CCONJ
cana-997	150	35	cross	cross	NOUN
cana-997	150	36	-	-	NOUN
cana-997	150	37	site	site	ADJ
cana-997	150	38	scripting	scripting	NOUN
cana-997	150	39	.	.	PUNCT
cana-997	151	1	helps	helps	AUX
cana-997	151	2	determine	determine	VERB
cana-997	151	3	whether	whether	SCONJ
cana-997	151	4	data	datum	NOUN
cana-997	151	5	flow	flow	NOUN
cana-997	151	6	analysis	analysis	NOUN
cana-997	151	7	also	also	ADV
cana-997	151	8	helps	help	VERB
cana-997	151	9	you	you	PRON
cana-997	151	10	see	see	VERB
cana-997	151	11	how	how	SCONJ
cana-997	151	12	data	datum	NOUN
cana-997	151	13	is	be	AUX
cana-997	151	14	processed	process	VERB
cana-997	151	15	and	and	CCONJ
cana-997	151	16	transformed	transform	VERB
cana-997	151	17	within	within	ADP
cana-997	151	18	your	your	PRON
cana-997	151	19	program	program	NOUN
cana-997	151	20	.	.	PUNCT
cana-997	152	1	c.	c.	PROPN
cana-997	152	2	code	code	PROPN
cana-997	152	3	metrics	metric	NOUN
cana-997	152	4	code	code	NOUN
cana-997	152	5	metrics	metric	NOUN
cana-997	152	6	is	be	AUX
cana-997	152	7	a	a	DET
cana-997	152	8	static	static	ADJ
cana-997	152	9	analysis	analysis	NOUN
cana-997	152	10	technique	technique	NOUN
cana-997	152	11	that	that	PRON
cana-997	152	12	measures	measure	VERB
cana-997	152	13	the	the	DET
cana-997	152	14	complexity	complexity	NOUN
cana-997	152	15	of	of	ADP
cana-997	152	16	functions	function	NOUN
cana-997	152	17	/	/	SYM
cana-997	152	18	methods/	methods/	NUM
cana-997	152	19	classes	class	NOUN
cana-997	152	20	in	in	ADP
cana-997	152	21	software	software	NOUN
cana-997	152	22	systems	system	NOUN
cana-997	152	23	.	.	PUNCT
cana-997	153	1	these	these	DET
cana-997	153	2	metrics	metric	NOUN
cana-997	153	3	include	include	VERB
cana-997	153	4	cyclomatic	cyclomatic	ADJ
cana-997	153	5	complexity	complexity	NOUN
cana-997	153	6	,	,	PUNCT
cana-997	153	7	number	number	NOUN
cana-997	153	8	of	of	ADP
cana-997	153	9	lines	line	NOUN
cana-997	153	10	of	of	ADP
cana-997	153	11	code	code	NOUN
cana-997	153	12	,	,	PUNCT
cana-997	153	13	and	and	CCONJ
cana-997	153	14	number	number	NOUN
cana-997	153	15	of	of	ADP
cana-997	153	16	parameters	parameter	NOUN
cana-997	153	17	.	.	PUNCT
cana-997	154	1	cyclomatic	cyclomatic	ADJ
cana-997	154	2	complexity	complexity	NOUN
cana-997	154	3	measures	measure	VERB
cana-997	154	4	the	the	DET
cana-997	154	5	number	number	NOUN
cana-997	154	6	of	of	ADP
cana-997	154	7	decision	decision	NOUN
cana-997	154	8	points	point	NOUN
cana-997	154	9	in	in	ADP
cana-997	154	10	a	a	DET
cana-997	154	11	function	function	NOUN
cana-997	154	12	/	/	SYM
cana-997	154	13	method	method	NOUN
cana-997	154	14	/	/	SYM
cana-997	154	15	class	class	NOUN
cana-997	154	16	and	and	CCONJ
cana-997	154	17	lines	line	NOUN
cana-997	154	18	of	of	ADP
cana-997	154	19	code	code	NOUN
cana-997	154	20	measures	measure	NOUN
cana-997	154	21	the	the	DET
cana-997	154	22	number	number	NOUN
cana-997	154	23	of	of	ADP
cana-997	154	24	lines	line	NOUN
cana-997	154	25	of	of	ADP
cana-997	154	26	code	code	NOUN
cana-997	154	27	in	in	ADP
cana-997	154	28	a	a	DET
cana-997	154	29	function	function	NOUN
cana-997	154	30	/	/	SYM
cana-997	154	31	method	method	NOUN
cana-997	154	32	/	/	SYM
cana-997	154	33	class	class	NOUN
cana-997	154	34	.	.	PUNCT
cana-997	155	1	the	the	DET
cana-997	155	2	number	number	NOUN
cana-997	155	3	of	of	ADP
cana-997	155	4	parameters	parameter	NOUN
cana-997	155	5	measures	measure	VERB
cana-997	155	6	the	the	DET
cana-997	155	7	number	number	NOUN
cana-997	155	8	of	of	ADP
cana-997	155	9	inputs	input	NOUN
cana-997	155	10	to	to	ADP
cana-997	155	11	the	the	DET
cana-997	155	12	function	function	NOUN
cana-997	155	13	/	/	SYM
cana-997	155	14	method	method	NOUN
cana-997	155	15	/	/	SYM
cana-997	155	16	class	class	NOUN
cana-997	155	17	.	.	PUNCT
cana-997	156	1	these	these	DET
cana-997	156	2	metrics	metric	NOUN
cana-997	156	3	provide	provide	VERB
cana-997	156	4	useful	useful	ADJ
cana-997	156	5	information	information	NOUN
cana-997	156	6	about	about	ADP
cana-997	156	7	function	function	NOUN
cana-997	156	8	/	/	SYM
cana-997	156	9	method	method	NOUN
cana-997	156	10	/	/	SYM
cana-997	156	11	class	class	NOUN
cana-997	156	12	complexity	complexity	NOUN
cana-997	156	13	and	and	CCONJ
cana-997	156	14	help	help	AUX
cana-997	156	15	identify	identify	VERB
cana-997	156	16	code	code	NOUN
cana-997	156	17	that	that	PRON
cana-997	156	18	is	be	AUX
cana-997	156	19	more	more	ADV
cana-997	156	20	vulnerable	vulnerable	ADJ
cana-997	156	21	to	to	ADP
cana-997	156	22	security	security	NOUN
cana-997	156	23	vulnerabilities	vulnerability	NOUN
cana-997	156	24	.	.	PUNCT
cana-997	157	1	cyclomatic	cyclomatic	ADJ
cana-997	157	2	complexity	complexity	NOUN
cana-997	157	3	is	be	AUX
cana-997	157	4	a	a	DET
cana-997	157	5	code	code	NOUN
cana-997	157	6	metric	metric	NOUN
cana-997	157	7	that	that	PRON
cana-997	157	8	measures	measure	VERB
cana-997	157	9	the	the	DET
cana-997	157	10	number	number	NOUN
cana-997	157	11	of	of	ADP
cana-997	157	12	decision	decision	NOUN
cana-997	157	13	points	point	NOUN
cana-997	157	14	in	in	ADP
cana-997	157	15	a	a	DET
cana-997	157	16	function	function	NOUN
cana-997	157	17	/	/	SYM
cana-997	157	18	method	method	NOUN
cana-997	157	19	/	/	SYM
cana-997	157	20	class	class	NOUN
cana-997	157	21	.	.	PUNCT
cana-997	158	1	a	a	DET
cana-997	158	2	decision	decision	NOUN
cana-997	158	3	point	point	NOUN
cana-997	158	4	is	be	AUX
cana-997	158	5	a	a	DET
cana-997	158	6	point	point	NOUN
cana-997	158	7	in	in	ADP
cana-997	158	8	code	code	NOUN
cana-997	158	9	where	where	SCONJ
cana-997	158	10	a	a	DET
cana-997	158	11	program	program	NOUN
cana-997	158	12	can	can	AUX
cana-997	158	13	take	take	VERB
cana-997	158	14	one	one	NUM
cana-997	158	15	of	of	ADP
cana-997	158	16	two	two	NUM
cana-997	158	17	or	or	CCONJ
cana-997	158	18	more	more	ADJ
cana-997	158	19	paths	path	NOUN
cana-997	158	20	based	base	VERB
cana-997	158	21	on	on	ADP
cana-997	158	22	conditions	condition	NOUN
cana-997	158	23	in	in	ADP
cana-997	158	24	the	the	DET
cana-997	158	25	code	code	NOUN
cana-997	158	26	.	.	PUNCT
cana-997	159	1	a	a	DET
cana-997	159	2	higher	high	ADJ
cana-997	159	3	cyclomatic	cyclomatic	ADJ
cana-997	159	4	complexity	complexity	NOUN
cana-997	159	5	value	value	NOUN
cana-997	159	6	indicates	indicate	VERB
cana-997	159	7	that	that	SCONJ
cana-997	159	8	the	the	DET
cana-997	159	9	code	code	NOUN
cana-997	159	10	has	have	VERB
cana-997	159	11	more	more	ADJ
cana-997	159	12	decision	decision	NOUN
cana-997	159	13	points	point	NOUN
cana-997	159	14	and	and	CCONJ
cana-997	159	15	is	be	AUX
cana-997	159	16	more	more	ADV
cana-997	159	17	complex	complex	ADJ
cana-997	159	18	.	.	PUNCT
cana-997	160	1	complex	complex	ADJ
cana-997	160	2	code	code	NOUN
cana-997	160	3	is	be	AUX
cana-997	160	4	often	often	ADV
cana-997	160	5	more	more	ADV
cana-997	160	6	vulnerable	vulnerable	ADJ
cana-997	160	7	to	to	ADP
cana-997	160	8	security	security	NOUN
cana-997	160	9	vulnerabilities	vulnerability	NOUN
cana-997	160	10	than	than	ADP
cana-997	160	11	simple	simple	ADJ
cana-997	160	12	code	code	NOUN
cana-997	160	13	.	.	PUNCT
cana-997	161	1	lines	line	NOUN
cana-997	161	2	of	of	ADP
cana-997	161	3	code	code	NOUN
cana-997	161	4	is	be	AUX
cana-997	161	5	another	another	DET
cana-997	161	6	code	code	NOUN
cana-997	161	7	metric	metric	NOUN
cana-997	161	8	that	that	PRON
cana-997	161	9	measures	measure	VERB
cana-997	161	10	the	the	DET
cana-997	161	11	number	number	NOUN
cana-997	161	12	of	of	ADP
cana-997	161	13	lines	line	NOUN
cana-997	161	14	of	of	ADP
cana-997	161	15	code	code	NOUN
cana-997	161	16	in	in	ADP
cana-997	161	17	a	a	DET
cana-997	161	18	function	function	NOUN
cana-997	161	19	/	/	SYM
cana-997	161	20	method	method	NOUN
cana-997	161	21	/	/	SYM
cana-997	161	22	class	class	NOUN
cana-997	161	23	.	.	PUNCT
cana-997	162	1	the	the	DET
cana-997	162	2	more	more	ADJ
cana-997	162	3	lines	line	NOUN
cana-997	162	4	of	of	ADP
cana-997	162	5	code	code	NOUN
cana-997	162	6	a	a	DET
cana-997	162	7	function	function	NOUN
cana-997	162	8	/	/	SYM
cana-997	162	9	method	method	NOUN
cana-997	162	10	/	/	SYM
cana-997	162	11	class	class	NOUN
cana-997	162	12	can	can	AUX
cana-997	162	13	get	get	VERB
cana-997	162	14	,	,	PUNCT
cana-997	162	15	the	the	DET
cana-997	162	16	more	more	ADV
cana-997	162	17	complex	complex	ADJ
cana-997	162	18	it	it	PRON
cana-997	162	19	can	can	AUX
cana-997	162	20	get	get	VERB
cana-997	162	21	.	.	PUNCT
cana-997	163	1	overly	overly	ADV
cana-997	163	2	complex	complex	ADJ
cana-997	163	3	code	code	NOUN
cana-997	163	4	can	can	AUX
cana-997	163	5	be	be	AUX
cana-997	163	6	more	more	ADV
cana-997	163	7	difficult	difficult	ADJ
cana-997	163	8	to	to	PART
cana-997	163	9	maintain	maintain	VERB
cana-997	163	10	and	and	CCONJ
cana-997	163	11	more	more	ADV
cana-997	163	12	vulnerable	vulnerable	ADJ
cana-997	163	13	to	to	ADP
cana-997	163	14	security	security	NOUN
cana-997	163	15	vulnerabilities	vulnerability	NOUN
cana-997	163	16	.	.	PUNCT
cana-997	164	1	the	the	DET
cana-997	164	2	number	number	NOUN
cana-997	164	3	of	of	ADP
cana-997	164	4	parameters	parameter	NOUN
cana-997	164	5	is	be	AUX
cana-997	164	6	another	another	DET
cana-997	164	7	code	code	NOUN
cana-997	164	8	metric	metric	NOUN
cana-997	164	9	that	that	PRON
cana-997	164	10	measures	measure	VERB
cana-997	164	11	the	the	DET
cana-997	164	12	number	number	NOUN
cana-997	164	13	of	of	ADP
cana-997	164	14	inputs	input	NOUN
cana-997	164	15	to	to	ADP
cana-997	164	16	the	the	DET
cana-997	164	17	function	function	NOUN
cana-997	164	18	/	/	SYM
cana-997	164	19	method	method	NOUN
cana-997	164	20	/	/	SYM
cana-997	164	21	class	class	NOUN
cana-997	164	22	.	.	PUNCT
cana-997	165	1	functions	function	NOUN
cana-997	165	2	/	/	SYM
cana-997	165	3	methods	method	NOUN
cana-997	165	4	/	/	SYM
cana-997	165	5	classes	class	NOUN
cana-997	165	6	with	with	ADP
cana-997	165	7	many	many	ADJ
cana-997	165	8	parameters	parameter	NOUN
cana-997	165	9	can	can	AUX
cana-997	165	10	become	become	VERB
cana-997	165	11	more	more	ADV
cana-997	165	12	complex	complex	ADJ
cana-997	165	13	and	and	CCONJ
cana-997	165	14	vulnerable	vulnerable	ADJ
cana-997	165	15	to	to	ADP
cana-997	165	16	security	security	NOUN
cana-997	165	17	vulnerabilities	vulnerability	NOUN
cana-997	165	18	.	.	PUNCT
cana-997	166	1	[	[	X
cana-997	166	2	10	10	NUM
cana-997	166	3	]	]	PUNCT
cana-997	166	4	by	by	ADP
cana-997	166	5	using	use	VERB
cana-997	166	6	code	code	NOUN
cana-997	166	7	metrics	metric	NOUN
cana-997	166	8	to	to	PART
cana-997	166	9	measure	measure	VERB
cana-997	166	10	the	the	DET
cana-997	166	11	function	function	NOUN
cana-997	166	12	/	/	SYM
cana-997	166	13	method	method	NOUN
cana-997	166	14	/	/	SYM
cana-997	166	15	class	class	NOUN
cana-997	166	16	complexity	complexity	NOUN
cana-997	166	17	of	of	ADP
cana-997	166	18	a	a	DET
cana-997	166	19	software	software	NOUN
cana-997	166	20	system	system	NOUN
cana-997	166	21	,	,	PUNCT
cana-997	166	22	developers	developer	NOUN
cana-997	166	23	can	can	AUX
cana-997	166	24	identify	identify	VERB
cana-997	166	25	code	code	NOUN
cana-997	166	26	that	that	PRON
cana-997	166	27	is	be	AUX
cana-997	166	28	more	more	ADV
cana-997	166	29	vulnerable	vulnerable	ADJ
cana-997	166	30	to	to	ADP
cana-997	166	31	security	security	NOUN
cana-997	166	32	vulnerabilities	vulnerability	NOUN
cana-997	166	33	.	.	PUNCT
cana-997	167	1	complex	complex	ADJ
cana-997	167	2	code	code	NOUN
cana-997	167	3	is	be	AUX
cana-997	167	4	harder	hard	ADJ
cana-997	167	5	to	to	PART
cana-997	167	6	understand	understand	VERB
cana-997	167	7	,	,	PUNCT
cana-997	167	8	harder	hard	ADJ
cana-997	167	9	to	to	PART
cana-997	167	10	maintain	maintain	VERB
cana-997	167	11	,	,	PUNCT
cana-997	167	12	and	and	CCONJ
cana-997	167	13	more	more	ADV
cana-997	167	14	likely	likely	ADJ
cana-997	167	15	to	to	PART
cana-997	167	16	be	be	AUX
cana-997	167	17	compromised	compromise	VERB
cana-997	167	18	.	.	PUNCT
cana-997	168	1	communications	communication	NOUN
cana-997	168	2	on	on	ADP
cana-997	168	3	applied	apply	VERB
cana-997	168	4	nonlinear	nonlinear	ADJ
cana-997	168	5	analysis	analysis	NOUN
cana-997	168	6	issn	issn	NOUN
cana-997	168	7	:	:	PUNCT
cana-997	168	8	1074	1074	NUM
cana-997	168	9	-	-	PUNCT
cana-997	168	10	133x	133x	NUM
cana-997	168	11	vol	vol	NOUN
cana-997	168	12	31	31	NUM
cana-997	168	13	no	no	NOUN
cana-997	168	14	.	.	PUNCT
cana-997	169	1	5s	5s	NUM
cana-997	169	2	(	(	PUNCT
cana-997	169	3	2024	2024	NUM
cana-997	169	4	)	)	PUNCT
cana-997	169	5	32	32	NUM
cana-997	169	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	169	7	in	in	ADP
cana-997	169	8	summary	summary	NOUN
cana-997	169	9	,	,	PUNCT
cana-997	169	10	code	code	NOUN
cana-997	169	11	metrics	metric	NOUN
cana-997	169	12	such	such	ADJ
cana-997	169	13	as	as	ADP
cana-997	169	14	cyclomatic	cyclomatic	ADJ
cana-997	169	15	complexity	complexity	NOUN
cana-997	169	16	,	,	PUNCT
cana-997	169	17	lines	line	NOUN
cana-997	169	18	of	of	ADP
cana-997	169	19	code	code	NOUN
cana-997	169	20	,	,	PUNCT
cana-997	169	21	and	and	CCONJ
cana-997	169	22	number	number	NOUN
cana-997	169	23	of	of	ADP
cana-997	169	24	parameters	parameter	NOUN
cana-997	169	25	can	can	AUX
cana-997	169	26	provide	provide	VERB
cana-997	169	27	useful	useful	ADJ
cana-997	169	28	information	information	NOUN
cana-997	169	29	about	about	ADP
cana-997	169	30	the	the	DET
cana-997	169	31	complexity	complexity	NOUN
cana-997	169	32	of	of	ADP
cana-997	169	33	functions	function	NOUN
cana-997	169	34	/	/	SYM
cana-997	169	35	methods/	methods/	NUM
cana-997	169	36	classes	class	NOUN
cana-997	169	37	in	in	ADP
cana-997	169	38	software	software	NOUN
cana-997	169	39	systems	system	NOUN
cana-997	169	40	.	.	PUNCT
cana-997	170	1	complex	complex	ADJ
cana-997	170	2	code	code	NOUN
cana-997	170	3	is	be	AUX
cana-997	170	4	often	often	ADV
cana-997	170	5	more	more	ADV
cana-997	170	6	vulnerable	vulnerable	ADJ
cana-997	170	7	to	to	ADP
cana-997	170	8	security	security	NOUN
cana-997	170	9	vulnerabilities	vulnerability	NOUN
cana-997	170	10	than	than	ADP
cana-997	170	11	simple	simple	ADJ
cana-997	170	12	code	code	NOUN
cana-997	170	13	.	.	PUNCT
cana-997	171	1	by	by	ADP
cana-997	171	2	using	use	VERB
cana-997	171	3	code	code	NOUN
cana-997	171	4	metrics	metric	NOUN
cana-997	171	5	to	to	PART
cana-997	171	6	measure	measure	VERB
cana-997	171	7	code	code	NOUN
cana-997	171	8	complexity	complexity	NOUN
cana-997	171	9	,	,	PUNCT
cana-997	171	10	developers	developer	NOUN
cana-997	171	11	can	can	AUX
cana-997	171	12	identify	identify	VERB
cana-997	171	13	code	code	NOUN
cana-997	171	14	that	that	PRON
cana-997	171	15	is	be	AUX
cana-997	171	16	more	more	ADV
cana-997	171	17	vulnerable	vulnerable	ADJ
cana-997	171	18	to	to	ADP
cana-997	171	19	security	security	NOUN
cana-997	171	20	vulnerabilities	vulnerability	NOUN
cana-997	171	21	and	and	CCONJ
cana-997	171	22	reduce	reduce	VERB
cana-997	171	23	complexity	complexity	NOUN
cana-997	171	24	to	to	PART
cana-997	171	25	improve	improve	VERB
cana-997	171	26	the	the	DET
cana-997	171	27	overall	overall	ADJ
cana-997	171	28	security	security	NOUN
cana-997	171	29	of	of	ADP
cana-997	171	30	software	software	NOUN
cana-997	171	31	systems	system	NOUN
cana-997	171	32	.	.	PUNCT
cana-997	172	1	you	you	PRON
cana-997	172	2	can	can	AUX
cana-997	172	3	take	take	VERB
cana-997	172	4	steps	step	NOUN
cana-997	172	5	to	to	PART
cana-997	172	6	make	make	VERB
cana-997	172	7	it	it	PRON
cana-997	172	8	happen	happen	VERB
cana-997	172	9	.	.	PUNCT
cana-997	173	1	d.	d.	PROPN
cana-997	173	2	taint	taint	VERB
cana-997	173	3	analysis	analysis	NOUN
cana-997	173	4	taint	taint	NOUN
cana-997	173	5	analysis	analysis	NOUN
cana-997	173	6	is	be	AUX
cana-997	173	7	a	a	DET
cana-997	173	8	static	static	ADJ
cana-997	173	9	analysis	analysis	NOUN
cana-997	173	10	technique	technique	NOUN
cana-997	173	11	that	that	PRON
cana-997	173	12	tracks	track	VERB
cana-997	173	13	the	the	DET
cana-997	173	14	flow	flow	NOUN
cana-997	173	15	of	of	ADP
cana-997	173	16	user	user	NOUN
cana-997	173	17	input	input	NOUN
cana-997	173	18	through	through	ADP
cana-997	173	19	a	a	DET
cana-997	173	20	program	program	NOUN
cana-997	173	21	.	.	PUNCT
cana-997	174	1	this	this	DET
cana-997	174	2	technique	technique	NOUN
cana-997	174	3	can	can	AUX
cana-997	174	4	be	be	AUX
cana-997	174	5	used	use	VERB
cana-997	174	6	to	to	PART
cana-997	174	7	determine	determine	VERB
cana-997	174	8	whether	whether	SCONJ
cana-997	174	9	user	user	NOUN
cana-997	174	10	input	input	NOUN
cana-997	174	11	is	be	AUX
cana-997	174	12	being	be	AUX
cana-997	174	13	used	use	VERB
cana-997	174	14	in	in	ADP
cana-997	174	15	a	a	DET
cana-997	174	16	secure	secure	ADJ
cana-997	174	17	manner	manner	NOUN
cana-997	174	18	or	or	CCONJ
cana-997	174	19	in	in	ADP
cana-997	174	20	a	a	DET
cana-997	174	21	manner	manner	NOUN
cana-997	174	22	that	that	PRON
cana-997	174	23	could	could	AUX
cana-997	174	24	lead	lead	VERB
cana-997	174	25	to	to	ADP
cana-997	174	26	security	security	NOUN
cana-997	174	27	vulnerabilities	vulnerability	NOUN
cana-997	174	28	.	.	PUNCT
cana-997	175	1	tainting	taint	VERB
cana-997	175	2	analysis	analysis	NOUN
cana-997	175	3	helps	helps	AUX
cana-997	175	4	identify	identify	VERB
cana-997	175	5	data	datum	NOUN
cana-997	175	6	paths	path	NOUN
cana-997	175	7	that	that	PRON
cana-997	175	8	can	can	AUX
cana-997	175	9	lead	lead	VERB
cana-997	175	10	to	to	ADP
cana-997	175	11	security	security	NOUN
cana-997	175	12	vulnerabilities	vulnerability	NOUN
cana-997	175	13	such	such	ADJ
cana-997	175	14	as	as	ADP
cana-997	175	15	sql	sql	NOUN
cana-997	175	16	injection	injection	NOUN
cana-997	175	17	and	and	CCONJ
cana-997	175	18	cross	cross	NOUN
cana-997	175	19	-	-	NOUN
cana-997	175	20	site	site	ADJ
cana-997	175	21	scripting	scripting	NOUN
cana-997	175	22	.	.	PUNCT
cana-997	176	1	e.	e.	PROPN
cana-997	176	2	symbolic	symbolic	PROPN
cana-997	176	3	execution	execution	NOUN
cana-997	176	4	symbolic	symbolic	ADJ
cana-997	176	5	execution	execution	NOUN
cana-997	176	6	is	be	AUX
cana-997	176	7	a	a	DET
cana-997	176	8	static	static	ADJ
cana-997	176	9	analysis	analysis	NOUN
cana-997	176	10	technique	technique	NOUN
cana-997	176	11	that	that	PRON
cana-997	176	12	simulates	simulate	VERB
cana-997	176	13	program	program	NOUN
cana-997	176	14	execution	execution	NOUN
cana-997	176	15	using	use	VERB
cana-997	176	16	symbolic	symbolic	NOUN
cana-997	176	17	rather	rather	ADV
cana-997	176	18	than	than	ADP
cana-997	176	19	concrete	concrete	ADJ
cana-997	176	20	inputs	input	NOUN
cana-997	176	21	.	.	PUNCT
cana-997	177	1	this	this	DET
cana-997	177	2	technique	technique	NOUN
cana-997	177	3	can	can	AUX
cana-997	177	4	be	be	AUX
cana-997	177	5	used	use	VERB
cana-997	177	6	to	to	PART
cana-997	177	7	identify	identify	VERB
cana-997	177	8	potential	potential	ADJ
cana-997	177	9	security	security	NOUN
cana-997	177	10	vulnerabilities	vulnerability	NOUN
cana-997	177	11	related	relate	VERB
cana-997	177	12	to	to	ADP
cana-997	177	13	input	input	NOUN
cana-997	177	14	values	value	NOUN
cana-997	177	15	used	use	VERB
cana-997	177	16	in	in	ADP
cana-997	177	17	programs	program	NOUN
cana-997	177	18	.	.	PUNCT
cana-997	178	1	symbolic	symbolic	ADJ
cana-997	178	2	execution	execution	NOUN
cana-997	178	3	helps	helps	AUX
cana-997	178	4	identify	identify	VERB
cana-997	178	5	code	code	NOUN
cana-997	178	6	paths	path	NOUN
cana-997	178	7	that	that	PRON
cana-997	178	8	can	can	AUX
cana-997	178	9	lead	lead	VERB
cana-997	178	10	to	to	ADP
cana-997	178	11	security	security	NOUN
cana-997	178	12	vulnerabilities	vulnerability	NOUN
cana-997	178	13	,	,	PUNCT
cana-997	178	14	such	such	ADJ
cana-997	178	15	as	as	ADP
cana-997	178	16	:	:	PUNCT
cana-997	178	17	b.	b.	NOUN
cana-997	178	18	buffer	buffer	NOUN
cana-997	178	19	overflow	overflow	NOUN
cana-997	178	20	vulnerabilities	vulnerability	NOUN
cana-997	178	21	or	or	CCONJ
cana-997	178	22	integer	integer	NOUN
cana-997	178	23	overflows	overflow	NOUN
cana-997	178	24	.	.	PUNCT
cana-997	179	1	in	in	ADP
cana-997	179	2	summary	summary	NOUN
cana-997	179	3	,	,	PUNCT
cana-997	179	4	static	static	ADJ
cana-997	179	5	analysis	analysis	NOUN
cana-997	179	6	techniques	technique	NOUN
cana-997	179	7	are	be	AUX
cana-997	179	8	an	an	DET
cana-997	179	9	important	important	ADJ
cana-997	179	10	aspect	aspect	NOUN
cana-997	179	11	of	of	ADP
cana-997	179	12	the	the	DET
cana-997	179	13	proposed	propose	VERB
cana-997	179	14	approach	approach	NOUN
cana-997	179	15	to	to	ADP
cana-997	179	16	vulnerability	vulnerability	NOUN
cana-997	179	17	prediction	prediction	NOUN
cana-997	179	18	.	.	PUNCT
cana-997	180	1	these	these	DET
cana-997	180	2	techniques	technique	NOUN
cana-997	180	3	can	can	AUX
cana-997	180	4	be	be	AUX
cana-997	180	5	used	use	VERB
cana-997	180	6	to	to	PART
cana-997	180	7	extract	extract	VERB
cana-997	180	8	functionality	functionality	NOUN
cana-997	180	9	from	from	ADP
cana-997	180	10	software	software	NOUN
cana-997	180	11	system	system	NOUN
cana-997	180	12	functions	function	NOUN
cana-997	180	13	/	/	SYM
cana-997	180	14	methods	method	NOUN
cana-997	180	15	/	/	SYM
cana-997	180	16	classes	class	NOUN
cana-997	180	17	and	and	CCONJ
cana-997	180	18	identify	identify	VERB
cana-997	180	19	potential	potential	ADJ
cana-997	180	20	security	security	NOUN
cana-997	180	21	vulnerabilities	vulnerability	NOUN
cana-997	180	22	.	.	PUNCT
cana-997	181	1	control	control	NOUN
cana-997	181	2	flow	flow	NOUN
cana-997	181	3	analysis	analysis	NOUN
cana-997	181	4	,	,	PUNCT
cana-997	181	5	data	datum	NOUN
cana-997	181	6	flow	flow	NOUN
cana-997	181	7	analysis	analysis	NOUN
cana-997	181	8	,	,	PUNCT
cana-997	181	9	code	code	NOUN
cana-997	181	10	metrics	metric	NOUN
cana-997	181	11	,	,	PUNCT
cana-997	181	12	taint	taint	VERB
cana-997	181	13	analysis	analysis	NOUN
cana-997	181	14	,	,	PUNCT
cana-997	181	15	and	and	CCONJ
cana-997	181	16	symbolic	symbolic	ADJ
cana-997	181	17	execution	execution	NOUN
cana-997	181	18	are	be	AUX
cana-997	181	19	some	some	PRON
cana-997	181	20	of	of	ADP
cana-997	181	21	the	the	DET
cana-997	181	22	static	static	ADJ
cana-997	181	23	analysis	analysis	NOUN
cana-997	181	24	techniques	technique	NOUN
cana-997	181	25	that	that	PRON
cana-997	181	26	can	can	AUX
cana-997	181	27	be	be	AUX
cana-997	181	28	used	use	VERB
cana-997	181	29	to	to	PART
cana-997	181	30	extract	extract	VERB
cana-997	181	31	features	feature	NOUN
cana-997	181	32	from	from	ADP
cana-997	181	33	software	software	NOUN
cana-997	181	34	systems	system	NOUN
cana-997	181	35	.	.	PUNCT
cana-997	182	1	by	by	ADP
cana-997	182	2	using	use	VERB
cana-997	182	3	these	these	DET
cana-997	182	4	techniques	technique	NOUN
cana-997	182	5	,	,	PUNCT
cana-997	182	6	the	the	DET
cana-997	182	7	proposed	propose	VERB
cana-997	182	8	approach	approach	NOUN
cana-997	182	9	can	can	AUX
cana-997	182	10	provide	provide	VERB
cana-997	182	11	a	a	DET
cana-997	182	12	finer	fine	ADJ
cana-997	182	13	,	,	PUNCT
cana-997	182	14	more	more	ADV
cana-997	182	15	granular	granular	ADJ
cana-997	182	16	level	level	NOUN
cana-997	182	17	of	of	ADP
cana-997	182	18	analysis	analysis	NOUN
cana-997	182	19	,	,	PUNCT
cana-997	182	20	thus	thus	ADV
cana-997	182	21	allowing	allow	VERB
cana-997	182	22	us	we	PRON
cana-997	182	23	to	to	PART
cana-997	182	24	better	well	ADV
cana-997	182	25	understand	understand	VERB
cana-997	182	26	vulnerabilities	vulnerability	NOUN
cana-997	182	27	and	and	CCONJ
cana-997	182	28	their	their	PRON
cana-997	182	29	impact	impact	NOUN
cana-997	182	30	software	software	NOUN
cana-997	182	31	systems	system	NOUN
cana-997	182	32	.	.	PUNCT
cana-997	183	1	6	6	X
cana-997	183	2	.	.	X
cana-997	183	3	machine	machine	NOUN
cana-997	183	4	learning	learn	VERB
cana-997	183	5	techniques	technique	NOUN
cana-997	183	6	a.	a.	NOUN
cana-997	183	7	logistic	logistic	PROPN
cana-997	183	8	regression	regression	NOUN
cana-997	183	9	you	you	PRON
cana-997	183	10	can	can	AUX
cana-997	183	11	use	use	VERB
cana-997	183	12	logistic	logistic	ADJ
cana-997	183	13	regression	regression	NOUN
cana-997	183	14	to	to	PART
cana-997	183	15	predict	predict	VERB
cana-997	183	16	potential	potential	ADJ
cana-997	183	17	security	security	NOUN
cana-997	183	18	vulnerabilities	vulnerability	NOUN
cana-997	183	19	in	in	ADP
cana-997	183	20	software	software	NOUN
cana-997	183	21	systems	system	NOUN
cana-997	183	22	.	.	PUNCT
cana-997	184	1	logistic	logistic	ADJ
cana-997	184	2	regression	regression	NOUN
cana-997	184	3	is	be	AUX
cana-997	184	4	a	a	DET
cana-997	184	5	statistical	statistical	ADJ
cana-997	184	6	method	method	NOUN
cana-997	184	7	that	that	PRON
cana-997	184	8	can	can	AUX
cana-997	184	9	be	be	AUX
cana-997	184	10	used	use	VERB
cana-997	184	11	to	to	PART
cana-997	184	12	determine	determine	VERB
cana-997	184	13	the	the	DET
cana-997	184	14	relationship	relationship	NOUN
cana-997	184	15	between	between	ADP
cana-997	184	16	a	a	DET
cana-997	184	17	binary	binary	ADJ
cana-997	184	18	dependent	dependent	ADJ
cana-997	184	19	variable	variable	NOUN
cana-997	184	20	(	(	PUNCT
cana-997	184	21	i.e.	i.e.	X
cana-997	184	22	,	,	PUNCT
cana-997	184	23	vulnerability	vulnerability	NOUN
cana-997	184	24	or	or	CCONJ
cana-997	184	25	not	not	PART
cana-997	184	26	)	)	PUNCT
cana-997	184	27	and	and	CCONJ
cana-997	184	28	one	one	NUM
cana-997	184	29	or	or	CCONJ
cana-997	184	30	more	more	ADV
cana-997	184	31	independent	independent	ADJ
cana-997	184	32	variables	variable	NOUN
cana-997	184	33	(	(	PUNCT
cana-997	184	34	i.e.	i.e.	X
cana-997	184	35	,	,	PUNCT
cana-997	184	36	features	feature	NOUN
cana-997	184	37	extracted	extract	VERB
cana-997	184	38	from	from	ADP
cana-997	184	39	a	a	DET
cana-997	184	40	function	function	NOUN
cana-997	184	41	/	/	SYM
cana-997	184	42	method	method	NOUN
cana-997	184	43	/	/	SYM
cana-997	184	44	class	class	NOUN
cana-997	184	45	)	)	PUNCT
cana-997	184	46	.	.	PUNCT
cana-997	185	1	however	however	ADV
cana-997	185	2	,	,	PUNCT
cana-997	185	3	one	one	NUM
cana-997	185	4	of	of	ADP
cana-997	185	5	the	the	DET
cana-997	185	6	biggest	big	ADJ
cana-997	185	7	challenges	challenge	NOUN
cana-997	185	8	in	in	ADP
cana-997	185	9	using	use	VERB
cana-997	185	10	machine	machine	NOUN
cana-997	185	11	learning	learn	VERB
cana-997	185	12	techniques	technique	NOUN
cana-997	185	13	for	for	ADP
cana-997	185	14	vulnerability	vulnerability	NOUN
cana-997	185	15	analysis	analysis	NOUN
cana-997	185	16	is	be	AUX
cana-997	185	17	the	the	DET
cana-997	185	18	lack	lack	NOUN
cana-997	185	19	of	of	ADP
cana-997	185	20	labeled	label	VERB
cana-997	185	21	data	datum	NOUN
cana-997	185	22	.	.	PUNCT
cana-997	186	1	training	training	NOUN
cana-997	186	2	machine	machine	NOUN
cana-997	186	3	learning	learning	NOUN
cana-997	186	4	models	model	NOUN
cana-997	186	5	requires	require	VERB
cana-997	186	6	labeled	label	VERB
cana-997	186	7	data	datum	NOUN
cana-997	186	8	,	,	PUNCT
cana-997	186	9	but	but	CCONJ
cana-997	186	10	obtaining	obtain	VERB
cana-997	186	11	labeled	label	VERB
cana-997	186	12	data	datum	NOUN
cana-997	186	13	for	for	ADP
cana-997	186	14	security	security	NOUN
cana-997	186	15	vulnerabilities	vulnerability	NOUN
cana-997	186	16	can	can	AUX
cana-997	186	17	be	be	AUX
cana-997	186	18	difficult	difficult	ADJ
cana-997	186	19	.	.	PUNCT
cana-997	187	1	one	one	NUM
cana-997	187	2	solution	solution	NOUN
cana-997	187	3	to	to	ADP
cana-997	187	4	this	this	DET
cana-997	187	5	challenge	challenge	NOUN
cana-997	187	6	is	be	AUX
cana-997	187	7	to	to	PART
cana-997	187	8	use	use	VERB
cana-997	187	9	transfer	transfer	NOUN
cana-997	187	10	learning	learning	NOUN
cana-997	187	11	,	,	PUNCT
cana-997	187	12	which	which	PRON
cana-997	187	13	transfers	transfer	VERB
cana-997	187	14	knowledge	knowledge	NOUN
cana-997	187	15	from	from	ADP
cana-997	187	16	a	a	DET
cana-997	187	17	pre	pre	ADJ
cana-997	187	18	-	-	ADJ
cana-997	187	19	trained	train	VERB
cana-997	187	20	model	model	NOUN
cana-997	187	21	to	to	ADP
cana-997	187	22	a	a	DET
cana-997	187	23	new	new	ADJ
cana-997	187	24	vulnerability	vulnerability	NOUN
cana-997	187	25	prediction	prediction	NOUN
cana-997	187	26	model	model	NOUN
cana-997	187	27	.	.	PUNCT
cana-997	188	1	in	in	ADP
cana-997	188	2	summary	summary	NOUN
cana-997	188	3	,	,	PUNCT
cana-997	188	4	machine	machine	NOUN
cana-997	188	5	learning	learn	VERB
cana-997	188	6	techniques	technique	NOUN
cana-997	188	7	are	be	AUX
cana-997	188	8	effective	effective	ADJ
cana-997	188	9	in	in	ADP
cana-997	188	10	predicting	predict	VERB
cana-997	188	11	potential	potential	ADJ
cana-997	188	12	security	security	NOUN
cana-997	188	13	vulnerabilities	vulnerability	NOUN
cana-997	188	14	in	in	ADP
cana-997	188	15	software	software	NOUN
cana-997	188	16	systems	system	NOUN
cana-997	188	17	.	.	PUNCT
cana-997	189	1	you	you	PRON
cana-997	189	2	can	can	AUX
cana-997	189	3	train	train	VERB
cana-997	189	4	machine	machine	NOUN
cana-997	189	5	learning	learning	NOUN
cana-997	189	6	models	model	NOUN
cana-997	189	7	using	use	VERB
cana-997	189	8	supervised	supervised	ADJ
cana-997	189	9	learning	learning	NOUN
cana-997	189	10	techniques	technique	NOUN
cana-997	189	11	such	such	ADJ
cana-997	189	12	as	as	ADP
cana-997	189	13	decision	decision	NOUN
cana-997	189	14	trees	tree	NOUN
cana-997	189	15	,	,	PUNCT
cana-997	189	16	support	support	NOUN
cana-997	189	17	vector	vector	NOUN
cana-997	189	18	machines	machine	NOUN
cana-997	189	19	,	,	PUNCT
cana-997	189	20	logistic	logistic	ADJ
cana-997	189	21	regression	regression	NOUN
cana-997	189	22	,	,	PUNCT
cana-997	189	23	and	and	CCONJ
cana-997	189	24	random	random	ADJ
cana-997	189	25	forests	forest	NOUN
cana-997	189	26	.	.	PUNCT
cana-997	190	1	unsupervised	unsupervised	ADJ
cana-997	190	2	learning	learning	NOUN
cana-997	190	3	techniques	technique	NOUN
cana-997	190	4	such	such	ADJ
cana-997	190	5	as	as	ADP
cana-997	190	6	clustering	clustering	NOUN
cana-997	190	7	and	and	CCONJ
cana-997	190	8	anomaly	anomaly	NOUN
cana-997	190	9	detection	detection	NOUN
cana-997	190	10	can	can	AUX
cana-997	190	11	also	also	ADV
cana-997	190	12	be	be	AUX
cana-997	190	13	used	use	VERB
cana-997	190	14	to	to	PART
cana-997	190	15	identify	identify	VERB
cana-997	190	16	potential	potential	ADJ
cana-997	190	17	vulnerabilities	vulnerability	NOUN
cana-997	190	18	.	.	PUNCT
cana-997	191	1	however	however	ADV
cana-997	191	2	,	,	PUNCT
cana-997	191	3	the	the	DET
cana-997	191	4	lack	lack	NOUN
cana-997	191	5	of	of	ADP
cana-997	191	6	labeled	label	VERB
cana-997	191	7	data	datum	NOUN
cana-997	191	8	is	be	AUX
cana-997	191	9	a	a	DET
cana-997	191	10	challenge	challenge	NOUN
cana-997	191	11	transfer	transfer	NOUN
cana-997	191	12	learning	learning	NOUN
cana-997	191	13	can	can	AUX
cana-997	191	14	address	address	VERB
cana-997	191	15	.	.	PUNCT
cana-997	192	1	communications	communication	NOUN
cana-997	192	2	on	on	ADP
cana-997	192	3	applied	apply	VERB
cana-997	192	4	nonlinear	nonlinear	ADJ
cana-997	192	5	analysis	analysis	NOUN
cana-997	192	6	issn	issn	NOUN
cana-997	192	7	:	:	PUNCT
cana-997	192	8	1074	1074	NUM
cana-997	192	9	-	-	PUNCT
cana-997	192	10	133x	133x	NUM
cana-997	192	11	vol	vol	NOUN
cana-997	192	12	31	31	NUM
cana-997	192	13	no	no	NOUN
cana-997	192	14	.	.	PUNCT
cana-997	193	1	5s	5s	NUM
cana-997	193	2	(	(	PUNCT
cana-997	193	3	2024	2024	NUM
cana-997	193	4	)	)	PUNCT
cana-997	193	5	33	33	NUM
cana-997	193	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	193	7	machine	machine	NOUN
cana-997	193	8	learning	learn	VERB
cana-997	193	9	techniques	technique	NOUN
cana-997	193	10	are	be	AUX
cana-997	193	11	increasingly	increasingly	ADV
cana-997	193	12	being	be	AUX
cana-997	193	13	used	use	VERB
cana-997	193	14	to	to	PART
cana-997	193	15	predict	predict	VERB
cana-997	193	16	potential	potential	ADJ
cana-997	193	17	security	security	NOUN
cana-997	193	18	vulnerabilities	vulnerability	NOUN
cana-997	193	19	in	in	ADP
cana-997	193	20	software	software	NOUN
cana-997	193	21	systems	system	NOUN
cana-997	193	22	.	.	PUNCT
cana-997	194	1	these	these	DET
cana-997	194	2	techniques	technique	NOUN
cana-997	194	3	use	use	VERB
cana-997	194	4	tagged	tag	VERB
cana-997	194	5	data	datum	NOUN
cana-997	194	6	and	and	CCONJ
cana-997	194	7	statistical	statistical	ADJ
cana-997	194	8	models	model	NOUN
cana-997	194	9	to	to	PART
cana-997	194	10	learn	learn	VERB
cana-997	194	11	patterns	pattern	NOUN
cana-997	194	12	and	and	CCONJ
cana-997	194	13	characteristics	characteristic	NOUN
cana-997	194	14	of	of	ADP
cana-997	194	15	known	know	VERB
cana-997	194	16	vulnerabilities	vulnerability	NOUN
cana-997	194	17	and	and	CCONJ
cana-997	194	18	predict	predict	VERB
cana-997	194	19	potential	potential	ADJ
cana-997	194	20	vulnerabilities	vulnerability	NOUN
cana-997	194	21	in	in	ADP
cana-997	194	22	new	new	ADJ
cana-997	194	23	software	software	NOUN
cana-997	194	24	systems	system	NOUN
cana-997	194	25	.	.	PUNCT
cana-997	195	1	this	this	DET
cana-997	195	2	section	section	NOUN
cana-997	195	3	describes	describe	VERB
cana-997	195	4	some	some	PRON
cana-997	195	5	of	of	ADP
cana-997	195	6	the	the	DET
cana-997	195	7	commonly	commonly	ADV
cana-997	195	8	used	use	VERB
cana-997	195	9	machine	machine	NOUN
cana-997	195	10	learning	learn	VERB
cana-997	195	11	techniques	technique	NOUN
cana-997	195	12	for	for	ADP
cana-997	195	13	vulnerability	vulnerability	NOUN
cana-997	195	14	analysis	analysis	NOUN
cana-997	195	15	.	.	PUNCT
cana-997	196	1	1	1	X
cana-997	196	2	)	)	PUNCT
cana-997	196	3	random	random	ADJ
cana-997	196	4	forest	forest	NOUN
cana-997	196	5	:	:	PUNCT
cana-997	196	6	:	:	PUNCT
cana-997	196	7	random	random	ADJ
cana-997	196	8	forest	forest	NOUN
cana-997	196	9	can	can	AUX
cana-997	196	10	be	be	AUX
cana-997	196	11	used	use	VERB
cana-997	196	12	to	to	PART
cana-997	196	13	predict	predict	VERB
cana-997	196	14	potential	potential	ADJ
cana-997	196	15	security	security	NOUN
cana-997	196	16	vulnerabilities	vulnerability	NOUN
cana-997	196	17	in	in	ADP
cana-997	196	18	software	software	NOUN
cana-997	196	19	systems	system	NOUN
cana-997	196	20	.	.	PUNCT
cana-997	197	1	random	random	ADJ
cana-997	197	2	forest	forest	NOUN
cana-997	197	3	is	be	AUX
cana-997	197	4	an	an	DET
cana-997	197	5	ensemble	ensemble	ADJ
cana-997	197	6	learning	learning	NOUN
cana-997	197	7	technique	technique	NOUN
cana-997	197	8	that	that	PRON
cana-997	197	9	combines	combine	VERB
cana-997	197	10	multiple	multiple	ADJ
cana-997	197	11	decision	decision	NOUN
cana-997	197	12	trees	tree	NOUN
cana-997	197	13	to	to	PART
cana-997	197	14	improve	improve	VERB
cana-997	197	15	prediction	prediction	NOUN
cana-997	197	16	accuracy	accuracy	NOUN
cana-997	197	17	.	.	PUNCT
cana-997	198	1	in	in	ADP
cana-997	198	2	addition	addition	NOUN
cana-997	198	3	to	to	ADP
cana-997	198	4	supervised	supervised	ADJ
cana-997	198	5	learning	learning	NOUN
cana-997	198	6	techniques	technique	NOUN
cana-997	198	7	,	,	PUNCT
cana-997	198	8	unsupervised	unsupervised	ADJ
cana-997	198	9	learning	learning	NOUN
cana-997	198	10	techniques	technique	NOUN
cana-997	198	11	such	such	ADJ
cana-997	198	12	as	as	ADP
cana-997	198	13	clustering	clustering	NOUN
cana-997	198	14	and	and	CCONJ
cana-997	198	15	anomaly	anomaly	NOUN
cana-997	198	16	detection	detection	NOUN
cana-997	198	17	can	can	AUX
cana-997	198	18	also	also	ADV
cana-997	198	19	be	be	AUX
cana-997	198	20	used	use	VERB
cana-997	198	21	to	to	PART
cana-997	198	22	identify	identify	VERB
cana-997	198	23	potential	potential	ADJ
cana-997	198	24	security	security	NOUN
cana-997	198	25	vulnerabilities	vulnerability	NOUN
cana-997	198	26	in	in	ADP
cana-997	198	27	software	software	NOUN
cana-997	198	28	systems	system	NOUN
cana-997	198	29	.	.	PUNCT
cana-997	199	1	clustering	cluster	VERB
cana-997	199	2	techniques	technique	NOUN
cana-997	199	3	can	can	AUX
cana-997	199	4	be	be	AUX
cana-997	199	5	used	use	VERB
cana-997	199	6	to	to	ADP
cana-997	199	7	group	group	NOUN
cana-997	199	8	functions	function	NOUN
cana-997	199	9	/	/	SYM
cana-997	199	10	methods	method	NOUN
cana-997	199	11	/	/	SYM
cana-997	199	12	classes	class	NOUN
cana-997	199	13	with	with	ADP
cana-997	199	14	similar	similar	ADJ
cana-997	199	15	characteristics	characteristic	NOUN
cana-997	199	16	to	to	PART
cana-997	199	17	identify	identify	VERB
cana-997	199	18	potential	potential	ADJ
cana-997	199	19	vulnerabilities	vulnerability	NOUN
cana-997	199	20	.	.	PUNCT
cana-997	200	1	anomaly	anomaly	NOUN
cana-997	200	2	detection	detection	NOUN
cana-997	200	3	techniques	technique	NOUN
cana-997	200	4	can	can	AUX
cana-997	200	5	be	be	AUX
cana-997	200	6	used	use	VERB
cana-997	200	7	to	to	PART
cana-997	200	8	identify	identify	VERB
cana-997	200	9	functions	function	NOUN
cana-997	200	10	/	/	SYM
cana-997	200	11	methods	method	NOUN
cana-997	200	12	/	/	SYM
cana-997	200	13	classes	class	NOUN
cana-997	200	14	that	that	PRON
cana-997	200	15	exhibit	exhibit	VERB
cana-997	200	16	anomalous	anomalous	ADJ
cana-997	200	17	behavior	behavior	NOUN
cana-997	200	18	.	.	PUNCT
cana-997	201	1	this	this	PRON
cana-997	201	2	also	also	ADV
cana-997	201	3	helps	helps	AUX
cana-997	201	4	identify	identify	VERB
cana-997	201	5	potential	potential	ADJ
cana-997	201	6	vulnerabilities	vulnerability	NOUN
cana-997	201	7	.	.	PUNCT
cana-997	202	1	2	2	X
cana-997	202	2	)	)	PUNCT
cana-997	202	3	decision	decision	NOUN
cana-997	202	4	tree	tree	NOUN
cana-997	202	5	:	:	PUNCT
cana-997	202	6	decision	decision	NOUN
cana-997	202	7	trees	tree	NOUN
cana-997	202	8	are	be	AUX
cana-997	202	9	a	a	DET
cana-997	202	10	popular	popular	ADJ
cana-997	202	11	method	method	NOUN
cana-997	202	12	of	of	ADP
cana-997	202	13	supervised	supervised	ADJ
cana-997	202	14	learning	learning	NOUN
cana-997	202	15	for	for	ADP
cana-997	202	16	vulnerability	vulnerability	NOUN
cana-997	202	17	analysis	analysis	NOUN
cana-997	202	18	.	.	PUNCT
cana-997	203	1	create	create	VERB
cana-997	203	2	a	a	DET
cana-997	203	3	treelike	treelike	ADJ
cana-997	203	4	model	model	NOUN
cana-997	203	5	of	of	ADP
cana-997	203	6	decisions	decision	NOUN
cana-997	203	7	and	and	CCONJ
cana-997	203	8	their	their	PRON
cana-997	203	9	consequences	consequence	NOUN
cana-997	203	10	,	,	PUNCT
cana-997	203	11	where	where	SCONJ
cana-997	203	12	each	each	DET
cana-997	203	13	inner	inner	ADJ
cana-997	203	14	node	node	NOUN
cana-997	203	15	represents	represent	VERB
cana-997	203	16	a	a	DET
cana-997	203	17	decision	decision	NOUN
cana-997	203	18	and	and	CCONJ
cana-997	203	19	each	each	DET
cana-997	203	20	leaf	leaf	NOUN
cana-997	203	21	node	node	NOUN
cana-997	203	22	represents	represent	VERB
cana-997	203	23	a	a	DET
cana-997	203	24	label	label	NOUN
cana-997	203	25	.	.	PUNCT
cana-997	204	1	decision	decision	NOUN
cana-997	204	2	trees	tree	NOUN
cana-997	204	3	are	be	AUX
cana-997	204	4	easy	easy	ADJ
cana-997	204	5	to	to	PART
cana-997	204	6	interpret	interpret	VERB
cana-997	204	7	and	and	CCONJ
cana-997	204	8	can	can	AUX
cana-997	204	9	handle	handle	VERB
cana-997	204	10	both	both	CCONJ
cana-997	204	11	numeric	numeric	ADJ
cana-997	204	12	and	and	CCONJ
cana-997	204	13	categorical	categorical	ADJ
cana-997	204	14	data	datum	NOUN
cana-997	204	15	.	.	PUNCT
cana-997	205	1	3	3	X
cana-997	205	2	)	)	PUNCT
cana-997	205	3	support	support	NOUN
cana-997	205	4	vector	vector	NOUN
cana-997	205	5	machine	machine	NOUN
cana-997	205	6	(	(	PUNCT
cana-997	205	7	svm	svm	PROPN
cana-997	205	8	):	):	PUNCT
cana-997	205	9	svm	svm	PROPN
cana-997	205	10	is	be	AUX
cana-997	205	11	a	a	DET
cana-997	205	12	powerful	powerful	ADJ
cana-997	205	13	supervised	supervised	ADJ
cana-997	205	14	learning	learning	NOUN
cana-997	205	15	technique	technique	NOUN
cana-997	205	16	for	for	ADP
cana-997	205	17	vulnerability	vulnerability	NOUN
cana-997	205	18	assessment	assessment	NOUN
cana-997	205	19	.	.	PUNCT
cana-997	206	1	it	it	PRON
cana-997	206	2	uses	use	VERB
cana-997	206	3	a	a	DET
cana-997	206	4	nonlinear	nonlinear	ADJ
cana-997	206	5	kernel	kernel	NOUN
cana-997	206	6	function	function	NOUN
cana-997	206	7	to	to	PART
cana-997	206	8	map	map	VERB
cana-997	206	9	the	the	DET
cana-997	206	10	input	input	NOUN
cana-997	206	11	features	feature	VERB
cana-997	206	12	into	into	ADP
cana-997	206	13	a	a	DET
cana-997	206	14	classifiable	classifiable	ADJ
cana-997	206	15	high	high	ADJ
cana-997	206	16	-	-	PUNCT
cana-997	206	17	dimensional	dimensional	ADJ
cana-997	206	18	feature	feature	NOUN
cana-997	206	19	space	space	NOUN
cana-997	206	20	.	.	PUNCT
cana-997	207	1	svm	svm	PROPN
cana-997	207	2	is	be	AUX
cana-997	207	3	effective	effective	ADJ
cana-997	207	4	at	at	ADP
cana-997	207	5	identifying	identify	VERB
cana-997	207	6	complex	complex	ADJ
cana-997	207	7	relationships	relationship	NOUN
cana-997	207	8	between	between	ADP
cana-997	207	9	features	feature	NOUN
cana-997	207	10	and	and	CCONJ
cana-997	207	11	labels	label	NOUN
cana-997	207	12	.	.	PUNCT
cana-997	208	1	4	4	X
cana-997	208	2	)	)	PUNCT
cana-997	208	3	clustering	clustering	NOUN
cana-997	208	4	:	:	PUNCT
cana-997	208	5	clustering	cluster	VERB
cana-997	208	6	techniques	technique	NOUN
cana-997	208	7	group	group	NOUN
cana-997	208	8	similar	similar	ADJ
cana-997	208	9	functions/	functions/	NUM
cana-997	208	10	methods	method	NOUN
cana-997	208	11	/	/	SYM
cana-997	208	12	classes	class	NOUN
cana-997	208	13	based	base	VERB
cana-997	208	14	on	on	ADP
cana-997	208	15	their	their	PRON
cana-997	208	16	properties	property	NOUN
cana-997	208	17	.	.	PUNCT
cana-997	209	1	clustering	clustering	NOUN
cana-997	209	2	helps	helps	AUX
cana-997	209	3	identify	identify	VERB
cana-997	209	4	groups	group	NOUN
cana-997	209	5	of	of	ADP
cana-997	209	6	functions/	functions/	NUM
cana-997	209	7	methods	method	NOUN
cana-997	209	8	/	/	SYM
cana-997	209	9	classes	class	NOUN
cana-997	209	10	that	that	PRON
cana-997	209	11	share	share	VERB
cana-997	209	12	similar	similar	ADJ
cana-997	209	13	characteristics	characteristic	NOUN
cana-997	209	14	and	and	CCONJ
cana-997	209	15	may	may	AUX
cana-997	209	16	share	share	VERB
cana-997	209	17	similar	similar	ADJ
cana-997	209	18	vulnerabilities	vulnerability	NOUN
cana-997	209	19	.	.	PUNCT
cana-997	210	1	5	5	X
cana-997	210	2	)	)	PUNCT
cana-997	210	3	anomaly	anomaly	NOUN
cana-997	210	4	detection	detection	NOUN
cana-997	210	5	:	:	PUNCT
cana-997	210	6	anomaly	anomaly	NOUN
cana-997	210	7	detection	detection	NOUN
cana-997	210	8	techniques	technique	NOUN
cana-997	210	9	identify	identify	VERB
cana-997	210	10	functions/	functions/	NUM
cana-997	210	11	methods	method	NOUN
cana-997	210	12	/	/	SYM
cana-997	210	13	classes	class	NOUN
cana-997	210	14	that	that	PRON
cana-997	210	15	exhibit	exhibit	VERB
cana-997	210	16	anomalous	anomalous	ADJ
cana-997	210	17	behavior	behavior	NOUN
cana-997	210	18	compared	compare	VERB
cana-997	210	19	to	to	ADP
cana-997	210	20	the	the	DET
cana-997	210	21	rest	rest	NOUN
cana-997	210	22	of	of	ADP
cana-997	210	23	the	the	DET
cana-997	210	24	software	software	NOUN
cana-997	210	25	system	system	NOUN
cana-997	210	26	.	.	PUNCT
cana-997	211	1	these	these	DET
cana-997	211	2	techniques	technique	NOUN
cana-997	211	3	help	help	AUX
cana-997	211	4	identify	identify	VERB
cana-997	211	5	potential	potential	ADJ
cana-997	211	6	vulnerabilities	vulnerability	NOUN
cana-997	211	7	that	that	PRON
cana-997	211	8	are	be	AUX
cana-997	211	9	otherwise	otherwise	ADV
cana-997	211	10	undetectable	undetectable	ADJ
cana-997	211	11	.	.	PUNCT
cana-997	212	1	in	in	ADP
cana-997	212	2	summary	summary	NOUN
cana-997	212	3	,	,	PUNCT
cana-997	212	4	machine	machine	NOUN
cana-997	212	5	learning	learn	VERB
cana-997	212	6	techniques	technique	NOUN
cana-997	212	7	help	help	NOUN
cana-997	212	8	predict	predict	VERB
cana-997	212	9	potential	potential	ADJ
cana-997	212	10	security	security	NOUN
cana-997	212	11	vulnerabilities	vulnerability	NOUN
cana-997	212	12	in	in	ADP
cana-997	212	13	software	software	NOUN
cana-997	212	14	systems	system	NOUN
cana-997	212	15	.	.	PUNCT
cana-997	213	1	supervised	supervise	VERB
cana-997	213	2	learning	learn	VERB
cana-997	213	3	techniques	technique	NOUN
cana-997	213	4	such	such	ADJ
cana-997	213	5	as	as	ADP
cana-997	213	6	decision	decision	NOUN
cana-997	213	7	trees	tree	NOUN
cana-997	213	8	,	,	PUNCT
cana-997	213	9	svms	svms	NOUN
cana-997	213	10	,	,	PUNCT
cana-997	213	11	random	random	ADJ
cana-997	213	12	forests	forest	NOUN
cana-997	213	13	,	,	PUNCT
cana-997	213	14	and	and	CCONJ
cana-997	213	15	unsupervised	unsupervised	ADJ
cana-997	213	16	learning	learning	NOUN
cana-997	213	17	techniques	technique	NOUN
cana-997	213	18	such	such	ADJ
cana-997	213	19	as	as	ADP
cana-997	213	20	clustering	clustering	NOUN
cana-997	213	21	and	and	CCONJ
cana-997	213	22	anomaly	anomaly	NOUN
cana-997	213	23	detection	detection	NOUN
cana-997	213	24	can	can	AUX
cana-997	213	25	be	be	AUX
cana-997	213	26	used	use	VERB
cana-997	213	27	for	for	ADP
cana-997	213	28	vulnerability	vulnerability	NOUN
cana-997	213	29	analysis	analysis	NOUN
cana-997	213	30	.	.	PUNCT
cana-997	214	1	however	however	ADV
cana-997	214	2	,	,	PUNCT
cana-997	214	3	it	it	PRON
cana-997	214	4	is	be	AUX
cana-997	214	5	important	important	ADJ
cana-997	214	6	to	to	PART
cana-997	214	7	note	note	VERB
cana-997	214	8	that	that	PRON
cana-997	214	9	machine	machine	NOUN
cana-997	214	10	learning	learn	VERB
cana-997	214	11	techniques	technique	NOUN
cana-997	214	12	require	require	VERB
cana-997	214	13	large	large	ADJ
cana-997	214	14	amounts	amount	NOUN
cana-997	214	15	of	of	ADP
cana-997	214	16	high	high	ADJ
cana-997	214	17	-	-	PUNCT
cana-997	214	18	quality	quality	NOUN
cana-997	214	19	data	datum	NOUN
cana-997	214	20	and	and	CCONJ
cana-997	214	21	careful	careful	ADJ
cana-997	214	22	model	model	NOUN
cana-997	214	23	selection	selection	NOUN
cana-997	214	24	and	and	CCONJ
cana-997	214	25	training	training	NOUN
cana-997	214	26	to	to	PART
cana-997	214	27	achieve	achieve	VERB
cana-997	214	28	accurate	accurate	ADJ
cana-997	214	29	results	result	NOUN
cana-997	214	30	.	.	PUNCT
cana-997	215	1	7	7	X
cana-997	215	2	.	.	NUM
cana-997	215	3	proposed	propose	VERB
cana-997	215	4	method	method	NOUN
cana-997	215	5	a.	a.	NOUN
cana-997	215	6	classification	classification	NOUN
cana-997	215	7	before	before	ADP
cana-997	215	8	classifying	classify	VERB
cana-997	215	9	the	the	DET
cana-997	215	10	functions	function	NOUN
cana-997	215	11	as	as	ADV
cana-997	215	12	vulnerable	vulnerable	ADJ
cana-997	215	13	or	or	CCONJ
cana-997	215	14	not	not	PART
cana-997	215	15	,	,	PUNCT
cana-997	215	16	it	it	PRON
cana-997	215	17	is	be	AUX
cana-997	215	18	better	well	ADJ
cana-997	215	19	to	to	PART
cana-997	215	20	group	group	VERB
cana-997	215	21	the	the	DET
cana-997	215	22	vulnerable	vulnerable	ADJ
cana-997	215	23	functions	function	NOUN
cana-997	215	24	into	into	ADP
cana-997	215	25	those	those	PRON
cana-997	215	26	of	of	ADP
cana-997	215	27	similar	similar	ADJ
cana-997	215	28	types	type	NOUN
cana-997	215	29	and	and	CCONJ
cana-997	215	30	then	then	ADV
cana-997	215	31	perform	perform	VERB
cana-997	215	32	analysis	analysis	NOUN
cana-997	215	33	on	on	ADP
cana-997	215	34	these	these	PRON
cana-997	215	35	.	.	PUNCT
cana-997	216	1	since	since	SCONJ
cana-997	216	2	there	there	PRON
cana-997	216	3	already	already	ADV
cana-997	216	4	exists	exist	VERB
cana-997	216	5	a	a	DET
cana-997	216	6	standard	standard	NOUN
cana-997	216	7	for	for	ADP
cana-997	216	8	the	the	DET
cana-997	216	9	aforementioned	aforementioned	ADJ
cana-997	216	10	[	[	X
cana-997	216	11	13	13	NUM
cana-997	216	12	]	]	PUNCT
cana-997	216	13	,	,	PUNCT
cana-997	216	14	called	call	VERB
cana-997	216	15	cwe	cwe	NOUN
cana-997	216	16	or	or	CCONJ
cana-997	216	17	common	common	ADJ
cana-997	216	18	weakness	weakness	NOUN
cana-997	216	19	enumeration	enumeration	NOUN
cana-997	216	20	,	,	PUNCT
cana-997	216	21	we	we	PRON
cana-997	216	22	shall	shall	AUX
cana-997	216	23	be	be	AUX
cana-997	216	24	using	use	VERB
cana-997	216	25	the	the	DET
cana-997	216	26	same	same	ADJ
cana-997	216	27	and	and	CCONJ
cana-997	216	28	use	use	VERB
cana-997	216	29	some	some	PRON
cana-997	216	30	of	of	ADP
cana-997	216	31	the	the	DET
cana-997	216	32	most	most	ADV
cana-997	216	33	found	find	VERB
cana-997	216	34	vulnerabilities	vulnerability	NOUN
cana-997	216	35	as	as	ADP
cana-997	216	36	groups	group	NOUN
cana-997	216	37	.	.	PUNCT
cana-997	217	1	communications	communication	NOUN
cana-997	217	2	on	on	ADP
cana-997	217	3	applied	apply	VERB
cana-997	217	4	nonlinear	nonlinear	ADJ
cana-997	217	5	analysis	analysis	NOUN
cana-997	217	6	issn	issn	NOUN
cana-997	217	7	:	:	PUNCT
cana-997	217	8	1074	1074	NUM
cana-997	217	9	-	-	PUNCT
cana-997	217	10	133x	133x	NUM
cana-997	217	11	vol	vol	NOUN
cana-997	217	12	31	31	NUM
cana-997	217	13	no	no	NOUN
cana-997	217	14	.	.	PUNCT
cana-997	218	1	5s	5s	NUM
cana-997	218	2	(	(	PUNCT
cana-997	218	3	2024	2024	NUM
cana-997	218	4	)	)	PUNCT
cana-997	218	5	34	34	NUM
cana-997	218	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-997	218	7	•	•	NUM
cana-997	218	8	cwe	cwe	NOUN
cana-997	218	9	–	–	PUNCT
cana-997	218	10	120	120	NUM
cana-997	218	11	:	:	PUNCT
cana-997	218	12	buffer	buffer	NOUN
cana-997	218	13	copy	copy	NOUN
cana-997	218	14	without	without	ADP
cana-997	218	15	checking	check	VERB
cana-997	218	16	size	size	NOUN
cana-997	218	17	of	of	ADP
cana-997	218	18	the	the	DET
cana-997	218	19	input	input	NOUN
cana-997	218	20	•	•	NUM
cana-997	218	21	cwe	cwe	NOUN
cana-997	218	22	–	–	PUNCT
cana-997	218	23	119	119	NUM
cana-997	218	24	:	:	PUNCT
cana-997	218	25	improper	improper	ADJ
cana-997	218	26	restriction	restriction	NOUN
cana-997	218	27	of	of	ADP
cana-997	218	28	operations	operation	NOUN
cana-997	218	29	within	within	ADP
cana-997	218	30	the	the	DET
cana-997	218	31	bounds	bound	NOUN
cana-997	218	32	of	of	ADP
cana-997	218	33	a	a	DET
cana-997	218	34	memory	memory	NOUN
cana-997	218	35	buffer	buffer	NOUN
cana-997	218	36	•	•	NUM
cana-997	218	37	cwe	cwe	NOUN
cana-997	218	38	–	–	PUNCT
cana-997	218	39	469	469	NUM
cana-997	218	40	:	:	PUNCT
cana-997	218	41	use	use	NOUN
cana-997	218	42	of	of	ADP
cana-997	218	43	pointer	pointer	NOUN
cana-997	218	44	subtraction	subtraction	NOUN
cana-997	218	45	to	to	PART
cana-997	218	46	determine	determine	VERB
cana-997	218	47	size	size	NOUN
cana-997	218	48	•	•	NUM
cana-997	218	49	cwe	cwe	NOUN
cana-997	218	50	–	–	PUNCT
cana-997	218	51	476	476	NUM
cana-997	218	52	:	:	PUNCT
cana-997	218	53	null	null	ADJ
cana-997	218	54	pointer	pointer	NOUN
cana-997	218	55	dereference	dereference	NOUN
cana-997	218	56	•	•	ADP
cana-997	218	57	all	all	DET
cana-997	218	58	other	other	ADJ
cana-997	218	59	vulnerabilities	vulnerability	NOUN
cana-997	218	60	are	be	AUX
cana-997	218	61	classified	classify	VERB
cana-997	218	62	into	into	ADP
cana-997	218	63	a	a	DET
cana-997	218	64	single	single	ADJ
cana-997	218	65	class	class	NOUN
cana-997	218	66	for	for	ADP
cana-997	218	67	now	now	ADV
cana-997	218	68	b.	b.	PROPN
cana-997	218	69	preprocessing	preprocessing	NOUN
cana-997	218	70	of	of	ADP
cana-997	218	71	data	datum	NOUN
cana-997	218	72	the	the	DET
cana-997	218	73	functions	function	NOUN
cana-997	218	74	are	be	AUX
cana-997	218	75	stored	store	VERB
cana-997	218	76	in	in	ADP
cana-997	218	77	an	an	DET
cana-997	218	78	hdf5	hdf5	PROPN
cana-997	218	79	[	[	X
cana-997	218	80	14	14	NUM
cana-997	218	81	]	]	PUNCT
cana-997	218	82	file	file	NOUN
cana-997	218	83	from	from	ADP
cana-997	218	84	which	which	PRON
cana-997	218	85	they	they	PRON
cana-997	218	86	are	be	AUX
cana-997	218	87	extracted	extract	VERB
cana-997	218	88	during	during	ADP
cana-997	218	89	training	training	NOUN
cana-997	218	90	of	of	ADP
cana-997	218	91	the	the	DET
cana-997	218	92	model	model	NOUN
cana-997	218	93	.	.	PUNCT
cana-997	219	1	once	once	ADV
cana-997	219	2	extracted	extract	VERB
cana-997	219	3	they	they	PRON
cana-997	219	4	are	be	AUX
cana-997	219	5	converted	convert	VERB
cana-997	219	6	into	into	ADP
cana-997	219	7	a	a	DET
cana-997	219	8	byte	byte	NOUN
cana-997	219	9	string	string	NOUN
cana-997	219	10	using	use	VERB
cana-997	219	11	the	the	DET
cana-997	219	12	pickle	pickle	NOUN
cana-997	220	1	[	[	X
cana-997	220	2	15	15	NUM
cana-997	220	3	]	]	X
cana-997	220	4	library	library	NOUN
cana-997	220	5	which	which	PRON
cana-997	220	6	is	be	AUX
cana-997	220	7	then	then	ADV
cana-997	220	8	sent	send	VERB
cana-997	220	9	to	to	ADP
cana-997	220	10	the	the	DET
cana-997	220	11	model	model	NOUN
cana-997	220	12	for	for	ADP
cana-997	220	13	analysis	analysis	NOUN
cana-997	220	14	.	.	PUNCT
cana-997	221	1	c.	c.	NOUN
cana-997	221	2	creating	create	VERB
cana-997	221	3	the	the	DET
cana-997	221	4	machine	machine	NOUN
cana-997	221	5	learning	learning	NOUN
cana-997	221	6	model	model	NOUN
cana-997	221	7	we	we	PRON
cana-997	221	8	propose	propose	VERB
cana-997	221	9	the	the	DET
cana-997	221	10	use	use	NOUN
cana-997	221	11	of	of	ADP
cana-997	221	12	a	a	DET
cana-997	221	13	cnn	cnn	NOUN
cana-997	221	14	to	to	PART
cana-997	221	15	process	process	VERB
cana-997	221	16	this	this	DET
cana-997	221	17	byte	byte	NOUN
cana-997	221	18	string	string	NOUN
cana-997	221	19	to	to	PART
cana-997	221	20	try	try	VERB
cana-997	221	21	and	and	CCONJ
cana-997	221	22	develop	develop	VERB
cana-997	221	23	a	a	DET
cana-997	221	24	classifier	classifier	NOUN
cana-997	221	25	.	.	PUNCT
cana-997	222	1	our	our	PRON
cana-997	222	2	proposed	propose	VERB
cana-997	222	3	cnn	cnn	PROPN
cana-997	222	4	consists	consist	VERB
cana-997	222	5	of	of	ADP
cana-997	222	6	6	6	NUM
cana-997	222	7	layers	layer	NOUN
cana-997	222	8	:	:	PUNCT
cana-997	222	9	•	•	NUM
cana-997	222	10	embedding	embed	VERB
cana-997	222	11	layer	layer	NOUN
cana-997	222	12	•	•	NOUN
cana-997	222	13	convolution	convolution	NOUN
cana-997	222	14	layer	layer	NOUN
cana-997	222	15	•	•	NOUN
cana-997	222	16	pooling	pool	VERB
cana-997	222	17	layer	layer	NOUN
cana-997	222	18	•	•	NUM
cana-997	222	19	followed	follow	VERB
cana-997	222	20	by	by	ADP
cana-997	222	21	3	3	NUM
cana-997	222	22	dense	dense	ADJ
cana-997	222	23	layers	layer	NOUN
cana-997	222	24	communications	communication	NOUN
cana-997	222	25	on	on	ADP
cana-997	222	26	applied	apply	VERB
cana-997	222	27	nonlinear	nonlinear	ADJ
cana-997	222	28	analysis	analysis	NOUN
cana-997	222	29	issn	issn	NOUN
cana-997	222	30	:	:	PUNCT
cana-997	222	31	1074	1074	NUM
cana-997	222	32	-	-	PUNCT
cana-997	222	33	133x	133x	NUM
cana-997	222	34	vol	vol	NOUN
cana-997	222	35	31	31	NUM
cana-997	222	36	no	no	NOUN
cana-997	222	37	.	.	PUNCT
cana-997	223	1	5s	5s	NUM
cana-997	223	2	(	(	PUNCT
cana-997	223	3	2024	2024	NUM
cana-997	223	4	)	)	PUNCT
cana-997	223	5	35	35	NUM
cana-997	223	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	223	7	d.	d.	NOUN
cana-997	223	8	training	train	VERB
cana-997	223	9	the	the	DET
cana-997	223	10	model	model	NOUN
cana-997	223	11	to	to	PART
cana-997	223	12	develop	develop	VERB
cana-997	223	13	the	the	DET
cana-997	223	14	model	model	NOUN
cana-997	223	15	,	,	PUNCT
cana-997	223	16	we	we	PRON
cana-997	223	17	have	have	AUX
cana-997	223	18	used	use	VERB
cana-997	223	19	an	an	DET
cana-997	223	20	open	open	ADJ
cana-997	223	21	source	source	NOUN
cana-997	223	22	dataset	dataset	VERB
cana-997	224	1	[	[	X
cana-997	224	2	16	16	NUM
cana-997	224	3	]	]	PUNCT
cana-997	224	4	that	that	PRON
cana-997	224	5	consists	consist	VERB
cana-997	224	6	of	of	ADP
cana-997	224	7	over	over	ADP
cana-997	224	8	1.27	1.27	NUM
cana-997	224	9	million	million	NUM
cana-997	224	10	functions	function	NOUN
cana-997	224	11	after	after	ADP
cana-997	224	12	performing	perform	VERB
cana-997	224	13	static	static	ADJ
cana-997	224	14	analysis	analysis	NOUN
cana-997	224	15	on	on	ADP
cana-997	224	16	them	they	PRON
cana-997	224	17	.	.	PUNCT
cana-997	225	1	e.	e.	PROPN
cana-997	225	2	evaluation	evaluation	PROPN
cana-997	225	3	a	a	DET
cana-997	225	4	data	datum	NOUN
cana-997	225	5	set	set	VERB
cana-997	225	6	of	of	ADP
cana-997	225	7	open	open	ADJ
cana-997	225	8	-	-	PUNCT
cana-997	225	9	source	source	NOUN
cana-997	225	10	software	software	NOUN
cana-997	225	11	systems	system	NOUN
cana-997	225	12	was	be	AUX
cana-997	225	13	used	use	VERB
cana-997	225	14	to	to	PART
cana-997	225	15	evaluate	evaluate	VERB
cana-997	225	16	the	the	DET
cana-997	225	17	proposed	propose	VERB
cana-997	225	18	approach	approach	NOUN
cana-997	225	19	.	.	PUNCT
cana-997	226	1	the	the	DET
cana-997	226	2	dataset	dataset	NOUN
cana-997	226	3	contained	contain	VERB
cana-997	226	4	functions	function	NOUN
cana-997	226	5	/	/	SYM
cana-997	226	6	methods	method	NOUN
cana-997	226	7	/	/	SYM
cana-997	226	8	classes	class	NOUN
cana-997	226	9	extracted	extract	VERB
cana-997	226	10	from	from	ADP
cana-997	226	11	software	software	NOUN
cana-997	226	12	systems	system	NOUN
cana-997	226	13	along	along	ADP
cana-997	226	14	with	with	ADP
cana-997	226	15	tagged	tag	VERB
cana-997	226	16	data	datum	NOUN
cana-997	226	17	indicating	indicate	VERB
cana-997	226	18	whether	whether	SCONJ
cana-997	226	19	the	the	DET
cana-997	226	20	functions	function	NOUN
cana-997	226	21	/	/	SYM
cana-997	226	22	methods	method	NOUN
cana-997	226	23	/	/	SYM
cana-997	226	24	classes	class	NOUN
cana-997	226	25	contained	contain	VERB
cana-997	226	26	known	know	VERB
cana-997	226	27	vulnerabilities	vulnerability	NOUN
cana-997	226	28	.	.	PUNCT
cana-997	227	1	the	the	DET
cana-997	227	2	proposed	propose	VERB
cana-997	227	3	approach	approach	NOUN
cana-997	227	4	used	use	VERB
cana-997	227	5	static	static	ADJ
cana-997	227	6	analysis	analysis	NOUN
cana-997	227	7	techniques	technique	NOUN
cana-997	227	8	to	to	PART
cana-997	227	9	extract	extract	VERB
cana-997	227	10	features	feature	NOUN
cana-997	227	11	from	from	ADP
cana-997	227	12	functions	function	NOUN
cana-997	227	13	/	/	SYM
cana-997	227	14	methods	method	NOUN
cana-997	227	15	/	/	SYM
cana-997	227	16	classes	class	NOUN
cana-997	227	17	,	,	PUNCT
cana-997	227	18	and	and	CCONJ
cana-997	227	19	used	use	VERB
cana-997	227	20	the	the	DET
cana-997	227	21	extracted	extract	VERB
cana-997	227	22	features	feature	NOUN
cana-997	227	23	and	and	CCONJ
cana-997	227	24	labeled	label	VERB
cana-997	227	25	data	datum	NOUN
cana-997	227	26	to	to	PART
cana-997	227	27	train	train	VERB
cana-997	227	28	machine	machine	NOUN
cana-997	227	29	learning	learning	NOUN
cana-997	227	30	models	model	NOUN
cana-997	227	31	.	.	PUNCT
cana-997	228	1	several	several	ADJ
cana-997	228	2	metrics	metric	NOUN
cana-997	228	3	were	be	AUX
cana-997	228	4	used	use	VERB
cana-997	228	5	to	to	PART
cana-997	228	6	compare	compare	VERB
cana-997	228	7	the	the	DET
cana-997	228	8	performance	performance	NOUN
cana-997	228	9	of	of	ADP
cana-997	228	10	the	the	DET
cana-997	228	11	proposed	propose	VERB
cana-997	228	12	approach	approach	NOUN
cana-997	228	13	with	with	ADP
cana-997	228	14	other	other	ADJ
cana-997	228	15	vulnerability	vulnerability	NOUN
cana-997	228	16	prediction	prediction	NOUN
cana-997	228	17	approaches	approach	NOUN
cana-997	228	18	.	.	PUNCT
cana-997	229	1	metrics	metric	NOUN
cana-997	229	2	included	include	VERB
cana-997	229	3	precision	precision	NOUN
cana-997	229	4	,	,	PUNCT
cana-997	229	5	recall	recall	NOUN
cana-997	229	6	,	,	PUNCT
cana-997	229	7	f1	f1	NOUN
cana-997	229	8	score	score	NOUN
cana-997	229	9	,	,	PUNCT
cana-997	229	10	and	and	CCONJ
cana-997	229	11	area	area	NOUN
cana-997	229	12	under	under	ADP
cana-997	229	13	the	the	DET
cana-997	229	14	receiver	receiver	NOUN
cana-997	229	15	operating	operate	VERB
cana-997	229	16	characteristic	characteristic	ADJ
cana-997	229	17	curve	curve	NOUN
cana-997	229	18	(	(	PUNCT
cana-997	229	19	auc	auc	NOUN
cana-997	229	20	-	-	PUNCT
cana-997	229	21	roc	roc	NOUN
cana-997	229	22	)	)	PUNCT
cana-997	229	23	.	.	PUNCT
cana-997	230	1	precision	precision	NOUN
cana-997	230	2	measures	measure	VERB
cana-997	230	3	the	the	DET
cana-997	230	4	proportion	proportion	NOUN
cana-997	230	5	of	of	ADP
cana-997	230	6	true	true	ADJ
cana-997	230	7	positives	positive	NOUN
cana-997	230	8	out	out	ADP
cana-997	230	9	of	of	ADP
cana-997	230	10	predicted	predict	VERB
cana-997	230	11	positives	positive	NOUN
cana-997	230	12	,	,	PUNCT
cana-997	230	13	and	and	CCONJ
cana-997	230	14	recall	recall	NOUN
cana-997	230	15	measures	measure	NOUN
cana-997	230	16	the	the	DET
cana-997	230	17	proportion	proportion	NOUN
cana-997	230	18	of	of	ADP
cana-997	230	19	true	true	ADJ
cana-997	230	20	positives	positive	NOUN
cana-997	230	21	out	out	ADP
cana-997	230	22	of	of	ADP
cana-997	230	23	actual	actual	ADJ
cana-997	230	24	positives	positive	NOUN
cana-997	230	25	.	.	PUNCT
cana-997	231	1	the	the	DET
cana-997	231	2	f1	f1	PROPN
cana-997	231	3	score	score	NOUN
cana-997	231	4	is	be	AUX
cana-997	231	5	a	a	DET
cana-997	231	6	harmonious	harmonious	ADJ
cana-997	231	7	average	average	NOUN
cana-997	231	8	of	of	ADP
cana-997	231	9	accuracy	accuracy	NOUN
cana-997	231	10	and	and	CCONJ
cana-997	231	11	memory	memory	NOUN
cana-997	231	12	.	.	PUNCT
cana-997	232	1	auc	auc	NOUN
cana-997	232	2	-	-	PUNCT
cana-997	232	3	roc	roc	PROPN
cana-997	232	4	is	be	AUX
cana-997	232	5	a	a	DET
cana-997	232	6	measure	measure	NOUN
cana-997	232	7	of	of	ADP
cana-997	232	8	a	a	DET
cana-997	232	9	model	model	NOUN
cana-997	232	10	’s	’s	PART
cana-997	232	11	performance	performance	NOUN
cana-997	232	12	across	across	ADP
cana-997	232	13	all	all	DET
cana-997	232	14	possible	possible	ADJ
cana-997	232	15	classification	classification	NOUN
cana-997	232	16	thresholds	threshold	NOUN
cana-997	232	17	.	.	PUNCT
cana-997	233	1	evaluation	evaluation	NOUN
cana-997	233	2	results	result	NOUN
cana-997	233	3	showed	show	VERB
cana-997	233	4	that	that	SCONJ
cana-997	233	5	the	the	DET
cana-997	233	6	proposed	propose	VERB
cana-997	233	7	approach	approach	NOUN
cana-997	233	8	achieves	achieve	VERB
cana-997	233	9	high	high	ADJ
cana-997	233	10	accuracy	accuracy	NOUN
cana-997	233	11	in	in	ADP
cana-997	233	12	predicting	predict	VERB
cana-997	233	13	potential	potential	ADJ
cana-997	233	14	security	security	NOUN
cana-997	233	15	vulnerabilities	vulnerability	NOUN
cana-997	233	16	in	in	ADP
cana-997	233	17	software	software	NOUN
cana-997	233	18	systems	system	NOUN
cana-997	233	19	.	.	PUNCT
cana-997	234	1	the	the	DET
cana-997	234	2	proposed	propose	VERB
cana-997	234	3	approach	approach	NOUN
cana-997	234	4	outperformed	outperform	VERB
cana-997	234	5	other	other	ADJ
cana-997	234	6	vulnerability	vulnerability	NOUN
cana-997	234	7	prediction	prediction	NOUN
cana-997	234	8	approaches	approach	NOUN
cana-997	234	9	in	in	ADP
cana-997	234	10	terms	term	NOUN
cana-997	234	11	of	of	ADP
cana-997	234	12	accuracy	accuracy	NOUN
cana-997	234	13	,	,	PUNCT
cana-997	234	14	recall	recall	NOUN
cana-997	234	15	,	,	PUNCT
cana-997	234	16	f1	f1	NOUN
cana-997	234	17	score	score	NOUN
cana-997	234	18	,	,	PUNCT
cana-997	234	19	and	and	CCONJ
cana-997	234	20	auc	auc	NOUN
cana-997	234	21	-	-	PUNCT
cana-997	234	22	roc	roc	NOUN
cana-997	234	23	.	.	PUNCT
cana-997	235	1	the	the	DET
cana-997	235	2	results	result	NOUN
cana-997	235	3	show	show	VERB
cana-997	235	4	that	that	SCONJ
cana-997	235	5	the	the	DET
cana-997	235	6	proposed	propose	VERB
cana-997	235	7	approach	approach	NOUN
cana-997	235	8	is	be	AUX
cana-997	235	9	effective	effective	ADJ
cana-997	235	10	in	in	ADP
cana-997	235	11	identifying	identify	VERB
cana-997	235	12	potential	potential	ADJ
cana-997	235	13	security	security	NOUN
cana-997	235	14	vulnerabilities	vulnerability	NOUN
cana-997	235	15	in	in	ADP
cana-997	235	16	software	software	NOUN
cana-997	235	17	systems	system	NOUN
cana-997	235	18	and	and	CCONJ
cana-997	235	19	may	may	AUX
cana-997	235	20	be	be	AUX
cana-997	235	21	used	use	VERB
cana-997	235	22	as	as	ADP
cana-997	235	23	a	a	DET
cana-997	235	24	tool	tool	NOUN
cana-997	235	25	for	for	ADP
cana-997	235	26	software	software	NOUN
cana-997	235	27	security	security	NOUN
cana-997	235	28	analysis	analysis	NOUN
cana-997	235	29	.	.	PUNCT
cana-997	236	1	however	however	ADV
cana-997	236	2	,	,	PUNCT
cana-997	236	3	it	it	PRON
cana-997	236	4	is	be	AUX
cana-997	236	5	important	important	ADJ
cana-997	236	6	to	to	PART
cana-997	236	7	note	note	VERB
cana-997	236	8	that	that	SCONJ
cana-997	236	9	this	this	DET
cana-997	236	10	evaluation	evaluation	NOUN
cana-997	236	11	was	be	AUX
cana-997	236	12	performed	perform	VERB
cana-997	236	13	on	on	ADP
cana-997	236	14	a	a	DET
cana-997	236	15	limited	limited	ADJ
cana-997	236	16	data	datum	NOUN
cana-997	236	17	set	set	VERB
cana-997	236	18	of	of	ADP
cana-997	236	19	open	open	ADJ
cana-997	236	20	-	-	PUNCT
cana-997	236	21	source	source	NOUN
cana-997	236	22	software	software	NOUN
cana-997	236	23	systems	system	NOUN
cana-997	236	24	.	.	PUNCT
cana-997	237	1	the	the	DET
cana-997	237	2	performance	performance	NOUN
cana-997	237	3	of	of	ADP
cana-997	237	4	the	the	DET
cana-997	237	5	proposed	propose	VERB
cana-997	237	6	approach	approach	NOUN
cana-997	237	7	may	may	AUX
cana-997	237	8	differ	differ	VERB
cana-997	237	9	when	when	SCONJ
cana-997	237	10	applied	apply	VERB
cana-997	237	11	to	to	ADP
cana-997	237	12	proprietary	proprietary	ADJ
cana-997	237	13	software	software	NOUN
cana-997	237	14	systems	system	NOUN
cana-997	237	15	or	or	CCONJ
cana-997	237	16	different	different	ADJ
cana-997	237	17	kinds	kind	NOUN
cana-997	237	18	of	of	ADP
cana-997	237	19	software	software	NOUN
cana-997	237	20	systems	system	NOUN
cana-997	237	21	.	.	PUNCT
cana-997	238	1	further	further	ADJ
cana-997	238	2	evaluation	evaluation	NOUN
cana-997	238	3	is	be	AUX
cana-997	238	4	needed	need	VERB
cana-997	238	5	to	to	PART
cana-997	238	6	determine	determine	VERB
cana-997	238	7	the	the	DET
cana-997	238	8	generalizability	generalizability	NOUN
cana-997	238	9	and	and	CCONJ
cana-997	238	10	robustness	robustness	NOUN
cana-997	238	11	of	of	ADP
cana-997	238	12	the	the	DET
cana-997	238	13	proposed	propose	VERB
cana-997	238	14	approach	approach	NOUN
cana-997	238	15	.	.	PUNCT
cana-997	239	1	in	in	ADP
cana-997	239	2	summary	summary	NOUN
cana-997	239	3	,	,	PUNCT
cana-997	239	4	the	the	DET
cana-997	239	5	proposed	propose	VERB
cana-997	239	6	approach	approach	NOUN
cana-997	239	7	was	be	AUX
cana-997	239	8	evaluated	evaluate	VERB
cana-997	239	9	using	use	VERB
cana-997	239	10	publicly	publicly	ADV
cana-997	239	11	available	available	ADJ
cana-997	239	12	datasets	dataset	NOUN
cana-997	239	13	and	and	CCONJ
cana-997	239	14	the	the	DET
cana-997	239	15	evaluation	evaluation	NOUN
cana-997	239	16	results	result	NOUN
cana-997	239	17	showed	show	VERB
cana-997	239	18	that	that	SCONJ
cana-997	239	19	this	this	DET
cana-997	239	20	approach	approach	NOUN
cana-997	239	21	is	be	AUX
cana-997	239	22	effective	effective	ADJ
cana-997	239	23	in	in	ADP
cana-997	239	24	predicting	predict	VERB
cana-997	239	25	potential	potential	ADJ
cana-997	239	26	security	security	NOUN
cana-997	239	27	vulnerabilities	vulnerability	NOUN
cana-997	239	28	in	in	ADP
cana-997	239	29	software	software	NOUN
cana-997	239	30	systems	system	NOUN
cana-997	239	31	.	.	PUNCT
cana-997	240	1	the	the	DET
cana-997	240	2	proposed	propose	VERB
cana-997	240	3	approach	approach	NOUN
cana-997	240	4	outperformed	outperform	VERB
cana-997	240	5	other	other	ADJ
cana-997	240	6	vulnerability	vulnerability	NOUN
cana-997	240	7	prediction	prediction	NOUN
cana-997	240	8	approaches	approach	NOUN
cana-997	240	9	in	in	ADP
cana-997	240	10	terms	term	NOUN
cana-997	240	11	of	of	ADP
cana-997	240	12	accuracy	accuracy	NOUN
cana-997	240	13	,	,	PUNCT
cana-997	240	14	recall	recall	NOUN
cana-997	240	15	,	,	PUNCT
cana-997	240	16	f1	f1	NOUN
cana-997	240	17	score	score	NOUN
cana-997	240	18	,	,	PUNCT
cana-997	240	19	and	and	CCONJ
cana-997	240	20	auc	auc	NOUN
cana-997	240	21	-	-	PUNCT
cana-997	240	22	roc	roc	NOUN
cana-997	240	23	.	.	PUNCT
cana-997	241	1	further	further	ADJ
cana-997	241	2	evaluation	evaluation	NOUN
cana-997	241	3	is	be	AUX
cana-997	241	4	needed	need	VERB
cana-997	241	5	to	to	PART
cana-997	241	6	determine	determine	VERB
cana-997	241	7	the	the	DET
cana-997	241	8	generalizability	generalizability	NOUN
cana-997	241	9	and	and	CCONJ
cana-997	241	10	robustness	robustness	NOUN
cana-997	241	11	of	of	ADP
cana-997	241	12	the	the	DET
cana-997	241	13	proposed	propose	VERB
cana-997	241	14	approach	approach	NOUN
cana-997	241	15	.	.	PUNCT
cana-997	242	1	communications	communication	NOUN
cana-997	242	2	on	on	ADP
cana-997	242	3	applied	apply	VERB
cana-997	242	4	nonlinear	nonlinear	ADJ
cana-997	242	5	analysis	analysis	NOUN
cana-997	242	6	issn	issn	NOUN
cana-997	242	7	:	:	PUNCT
cana-997	242	8	1074	1074	NUM
cana-997	242	9	-	-	PUNCT
cana-997	242	10	133x	133x	NUM
cana-997	242	11	vol	vol	NOUN
cana-997	242	12	31	31	NUM
cana-997	242	13	no	no	NOUN
cana-997	242	14	.	.	PUNCT
cana-997	243	1	5s	5s	NUM
cana-997	243	2	(	(	PUNCT
cana-997	243	3	2024	2024	NUM
cana-997	243	4	)	)	PUNCT
cana-997	243	5	36	36	NUM
cana-997	243	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	243	7	8	8	NUM
cana-997	243	8	.	.	PUNCT
cana-997	243	9	related	relate	VERB
cana-997	243	10	works	work	NOUN
cana-997	243	11	several	several	ADJ
cana-997	243	12	vulnerability	vulnerability	NOUN
cana-997	243	13	prediction	prediction	NOUN
cana-997	243	14	approaches	approach	NOUN
cana-997	243	15	have	have	AUX
cana-997	243	16	been	be	AUX
cana-997	243	17	proposed	propose	VERB
cana-997	243	18	in	in	ADP
cana-997	243	19	the	the	DET
cana-997	243	20	literature	literature	NOUN
cana-997	243	21	,	,	PUNCT
cana-997	243	22	with	with	ADP
cana-997	243	23	many	many	ADJ
cana-997	243	24	of	of	ADP
cana-997	243	25	them	they	PRON
cana-997	243	26	utilizing	utilize	VERB
cana-997	243	27	machine	machine	NOUN
cana-997	243	28	learning	learn	VERB
cana-997	243	29	techniques	technique	NOUN
cana-997	243	30	to	to	PART
cana-997	243	31	predict	predict	VERB
cana-997	243	32	software	software	NOUN
cana-997	243	33	vulnerabilities	vulnerability	NOUN
cana-997	243	34	.	.	PUNCT
cana-997	244	1	for	for	ADP
cana-997	244	2	example	example	NOUN
cana-997	244	3	,	,	PUNCT
cana-997	244	4	machine	machine	NOUN
cana-997	244	5	learning	learning	NOUN
cana-997	244	6	has	have	AUX
cana-997	244	7	been	be	AUX
cana-997	244	8	used	use	VERB
cana-997	244	9	to	to	PART
cana-997	244	10	predict	predict	VERB
cana-997	244	11	buffer	buffer	NOUN
cana-997	244	12	overflow	overflow	NOUN
cana-997	244	13	vulnerabilities	vulnerability	NOUN
cana-997	244	14	,	,	PUNCT
cana-997	244	15	sql	sql	NOUN
cana-997	244	16	injection	injection	NOUN
cana-997	244	17	vulnerabilities	vulnerability	NOUN
cana-997	244	18	,	,	PUNCT
cana-997	244	19	and	and	CCONJ
cana-997	244	20	cross	cross	ADJ
cana-997	244	21	-	-	ADJ
cana-997	244	22	site	site	ADJ
cana-997	244	23	scripting	scripting	NOUN
cana-997	244	24	vulnerabilities	vulnerability	NOUN
cana-997	244	25	.	.	PUNCT
cana-997	245	1	these	these	DET
cana-997	245	2	approaches	approach	NOUN
cana-997	245	3	typically	typically	ADV
cana-997	245	4	use	use	VERB
cana-997	245	5	features	feature	NOUN
cana-997	245	6	extracted	extract	VERB
cana-997	245	7	from	from	ADP
cana-997	245	8	the	the	DET
cana-997	245	9	source	source	NOUN
cana-997	245	10	code	code	NOUN
cana-997	245	11	of	of	ADP
cana-997	245	12	the	the	DET
cana-997	245	13	software	software	NOUN
cana-997	245	14	system	system	NOUN
cana-997	245	15	to	to	PART
cana-997	245	16	train	train	VERB
cana-997	245	17	a	a	DET
cana-997	245	18	machine	machine	NOUN
cana-997	245	19	learning	learn	VERB
cana-997	245	20	model	model	NOUN
cana-997	245	21	that	that	PRON
cana-997	245	22	can	can	AUX
cana-997	245	23	predict	predict	VERB
cana-997	245	24	potential	potential	ADJ
cana-997	245	25	security	security	NOUN
cana-997	245	26	vulnerabilities	vulnerability	NOUN
cana-997	245	27	.	.	PUNCT
cana-997	246	1	however	however	ADV
cana-997	246	2	,	,	PUNCT
cana-997	246	3	most	most	ADJ
cana-997	246	4	of	of	ADP
cana-997	246	5	the	the	DET
cana-997	246	6	existing	exist	VERB
cana-997	246	7	vulnerability	vulnerability	NOUN
cana-997	246	8	prediction	prediction	NOUN
cana-997	246	9	approaches	approach	NOUN
cana-997	246	10	focus	focus	VERB
cana-997	246	11	on	on	ADP
cana-997	246	12	predicting	predict	VERB
cana-997	246	13	vulnerabilities	vulnerability	NOUN
cana-997	246	14	at	at	ADP
cana-997	246	15	the	the	DET
cana-997	246	16	source	source	NOUN
cana-997	246	17	code	code	NOUN
cana-997	246	18	level	level	NOUN
cana-997	246	19	,	,	PUNCT
cana-997	246	20	rather	rather	ADV
cana-997	246	21	than	than	ADP
cana-997	246	22	at	at	ADP
cana-997	246	23	the	the	DET
cana-997	246	24	function	function	NOUN
cana-997	246	25	/	/	SYM
cana-997	246	26	method	method	NOUN
cana-997	246	27	/	/	SYM
cana-997	246	28	class	class	NOUN
cana-997	246	29	level	level	NOUN
cana-997	246	30	.	.	PUNCT
cana-997	247	1	this	this	PRON
cana-997	247	2	is	be	AUX
cana-997	247	3	a	a	DET
cana-997	247	4	limitation	limitation	NOUN
cana-997	247	5	because	because	SCONJ
cana-997	247	6	vulnerabilities	vulnerability	NOUN
cana-997	247	7	can	can	AUX
cana-997	247	8	exist	exist	VERB
cana-997	247	9	at	at	ADP
cana-997	247	10	the	the	DET
cana-997	247	11	function/	function/	NUM
cana-997	247	12	method	method	NOUN
cana-997	247	13	/	/	SYM
cana-997	247	14	class	class	NOUN
cana-997	247	15	level	level	NOUN
cana-997	247	16	that	that	PRON
cana-997	247	17	may	may	AUX
cana-997	247	18	not	not	PART
cana-997	247	19	be	be	AUX
cana-997	247	20	apparent	apparent	ADJ
cana-997	247	21	at	at	ADP
cana-997	247	22	the	the	DET
cana-997	247	23	source	source	NOUN
cana-997	247	24	code	code	NOUN
cana-997	247	25	level	level	NOUN
cana-997	247	26	.	.	PUNCT
cana-997	248	1	therefore	therefore	ADV
cana-997	248	2	,	,	PUNCT
cana-997	248	3	it	it	PRON
cana-997	248	4	is	be	AUX
cana-997	248	5	important	important	ADJ
cana-997	248	6	to	to	PART
cana-997	248	7	develop	develop	VERB
cana-997	248	8	approaches	approach	NOUN
cana-997	248	9	that	that	PRON
cana-997	248	10	can	can	AUX
cana-997	248	11	predict	predict	VERB
cana-997	248	12	vulnerabilities	vulnerability	NOUN
cana-997	248	13	at	at	ADP
cana-997	248	14	a	a	DET
cana-997	248	15	more	more	ADV
cana-997	248	16	granular	granular	ADJ
cana-997	248	17	level	level	NOUN
cana-997	248	18	,	,	PUNCT
cana-997	248	19	such	such	ADJ
cana-997	248	20	as	as	ADP
cana-997	248	21	the	the	DET
cana-997	248	22	function	function	NOUN
cana-997	248	23	/	/	SYM
cana-997	248	24	method	method	NOUN
cana-997	248	25	/	/	SYM
cana-997	248	26	class	class	NOUN
cana-997	248	27	level	level	NOUN
cana-997	248	28	.	.	PUNCT
cana-997	249	1	one	one	NUM
cana-997	249	2	related	relate	VERB
cana-997	249	3	work	work	NOUN
cana-997	249	4	that	that	PRON
cana-997	249	5	has	have	AUX
cana-997	249	6	proposed	propose	VERB
cana-997	249	7	a	a	DET
cana-997	249	8	vulnerability	vulnerability	NOUN
cana-997	249	9	prediction	prediction	NOUN
cana-997	249	10	approach	approach	NOUN
cana-997	249	11	at	at	ADP
cana-997	249	12	the	the	DET
cana-997	249	13	function	function	NOUN
cana-997	249	14	/	/	SYM
cana-997	249	15	method	method	NOUN
cana-997	249	16	/	/	SYM
cana-997	249	17	class	class	NOUN
cana-997	249	18	level	level	NOUN
cana-997	249	19	is	be	AUX
cana-997	249	20	the	the	DET
cana-997	249	21	work	work	NOUN
cana-997	249	22	by	by	ADP
cana-997	249	23	yang	yang	PROPN
cana-997	249	24	et	et	PROPN
cana-997	249	25	al	al	PROPN
cana-997	249	26	.	.	PROPN
cana-997	250	1	(	(	PUNCT
cana-997	250	2	2016	2016	NUM
cana-997	250	3	)	)	PUNCT
cana-997	251	1	[	[	X
cana-997	251	2	5	5	NUM
cana-997	251	3	]	]	PUNCT
cana-997	251	4	.	.	PUNCT
cana-997	252	1	they	they	PRON
cana-997	252	2	proposed	propose	VERB
cana-997	252	3	an	an	DET
cana-997	252	4	approach	approach	NOUN
cana-997	252	5	that	that	PRON
cana-997	252	6	uses	use	VERB
cana-997	252	7	a	a	DET
cana-997	252	8	machine	machine	NOUN
cana-997	252	9	learning	learn	VERB
cana-997	252	10	model	model	NOUN
cana-997	252	11	to	to	PART
cana-997	252	12	predict	predict	VERB
cana-997	252	13	security	security	NOUN
cana-997	252	14	vulnerabilities	vulnerability	NOUN
cana-997	252	15	at	at	ADP
cana-997	252	16	the	the	DET
cana-997	252	17	function	function	NOUN
cana-997	252	18	level	level	NOUN
cana-997	252	19	.	.	PUNCT
cana-997	253	1	they	they	PRON
cana-997	253	2	extracted	extract	VERB
cana-997	253	3	features	feature	NOUN
cana-997	253	4	from	from	ADP
cana-997	253	5	functions	function	NOUN
cana-997	253	6	,	,	PUNCT
cana-997	253	7	such	such	ADJ
cana-997	253	8	as	as	ADP
cana-997	253	9	the	the	DET
cana-997	253	10	number	number	NOUN
cana-997	253	11	of	of	ADP
cana-997	253	12	function	function	NOUN
cana-997	253	13	parameters	parameter	NOUN
cana-997	253	14	,	,	PUNCT
cana-997	253	15	the	the	DET
cana-997	253	16	number	number	NOUN
cana-997	253	17	of	of	ADP
cana-997	253	18	function	function	NOUN
cana-997	253	19	calls	call	NOUN
cana-997	253	20	,	,	PUNCT
cana-997	253	21	and	and	CCONJ
cana-997	253	22	the	the	DET
cana-997	253	23	number	number	NOUN
cana-997	253	24	of	of	ADP
cana-997	253	25	conditional	conditional	ADJ
cana-997	253	26	statements	statement	NOUN
cana-997	253	27	,	,	PUNCT
cana-997	253	28	and	and	CCONJ
cana-997	253	29	used	use	VERB
cana-997	253	30	them	they	PRON
cana-997	253	31	to	to	PART
cana-997	253	32	train	train	VERB
cana-997	253	33	a	a	DET
cana-997	253	34	support	support	NOUN
cana-997	253	35	vector	vector	NOUN
cana-997	253	36	machine	machine	NOUN
cana-997	253	37	(	(	PUNCT
cana-997	253	38	svm	svm	PROPN
cana-997	253	39	)	)	PUNCT
cana-997	253	40	model	model	NOUN
cana-997	253	41	.	.	PUNCT
cana-997	254	1	their	their	PRON
cana-997	254	2	approach	approach	NOUN
cana-997	254	3	achieved	achieve	VERB
cana-997	254	4	a	a	DET
cana-997	254	5	high	high	ADJ
cana-997	254	6	accuracy	accuracy	NOUN
cana-997	254	7	in	in	ADP
cana-997	254	8	predicting	predict	VERB
cana-997	254	9	potential	potential	ADJ
cana-997	254	10	security	security	NOUN
cana-997	254	11	vulnerabilities	vulnerability	NOUN
cana-997	254	12	in	in	ADP
cana-997	254	13	open	open	ADJ
cana-997	254	14	-	-	PUNCT
cana-997	254	15	source	source	NOUN
cana-997	254	16	software	software	NOUN
cana-997	254	17	systems	system	NOUN
cana-997	254	18	.	.	PUNCT
cana-997	255	1	another	another	DET
cana-997	255	2	related	related	ADJ
cana-997	255	3	work	work	NOUN
cana-997	255	4	is	be	AUX
cana-997	255	5	the	the	DET
cana-997	255	6	study	study	NOUN
cana-997	255	7	by	by	ADP
cana-997	255	8	f	f	PROPN
cana-997	255	9	jaffar	jaffar	PROPN
cana-997	255	10	et	et	PROPN
cana-997	255	11	al	al	PROPN
cana-997	255	12	.	.	PROPN
cana-997	256	1	(	(	PUNCT
cana-997	256	2	2017	2017	NUM
cana-997	256	3	)	)	PUNCT
cana-997	257	1	[	[	X
cana-997	257	2	6	6	NUM
cana-997	257	3	]	]	PUNCT
cana-997	257	4	,	,	PUNCT
cana-997	257	5	who	who	PRON
cana-997	257	6	proposed	propose	VERB
cana-997	257	7	an	an	DET
cana-997	257	8	approach	approach	NOUN
cana-997	257	9	that	that	PRON
cana-997	257	10	uses	use	VERB
cana-997	257	11	a	a	DET
cana-997	257	12	decision	decision	NOUN
cana-997	257	13	tree	tree	NOUN
cana-997	257	14	model	model	NOUN
cana-997	257	15	to	to	PART
cana-997	257	16	predict	predict	VERB
cana-997	257	17	security	security	NOUN
cana-997	257	18	vulnerabilities	vulnerability	NOUN
cana-997	257	19	at	at	ADP
cana-997	257	20	the	the	DET
cana-997	257	21	class	class	NOUN
cana-997	257	22	level	level	NOUN
cana-997	257	23	.	.	PUNCT
cana-997	258	1	they	they	PRON
cana-997	258	2	extracted	extract	VERB
cana-997	258	3	features	feature	NOUN
cana-997	258	4	from	from	ADP
cana-997	258	5	classes	class	NOUN
cana-997	258	6	,	,	PUNCT
cana-997	258	7	such	such	ADJ
cana-997	258	8	as	as	ADP
cana-997	258	9	the	the	DET
cana-997	258	10	number	number	NOUN
cana-997	258	11	of	of	ADP
cana-997	258	12	methods	method	NOUN
cana-997	258	13	,	,	PUNCT
cana-997	258	14	the	the	DET
cana-997	258	15	number	number	NOUN
cana-997	258	16	of	of	ADP
cana-997	258	17	attributes	attribute	NOUN
cana-997	258	18	,	,	PUNCT
cana-997	258	19	and	and	CCONJ
cana-997	258	20	the	the	DET
cana-997	258	21	number	number	NOUN
cana-997	258	22	of	of	ADP
cana-997	258	23	dependencies	dependency	NOUN
cana-997	258	24	,	,	PUNCT
cana-997	258	25	and	and	CCONJ
cana-997	258	26	used	use	VERB
cana-997	258	27	them	they	PRON
cana-997	258	28	to	to	PART
cana-997	258	29	train	train	VERB
cana-997	258	30	a	a	DET
cana-997	258	31	decision	decision	NOUN
cana-997	258	32	tree	tree	NOUN
cana-997	258	33	model	model	NOUN
cana-997	258	34	.	.	PUNCT
cana-997	259	1	their	their	PRON
cana-997	259	2	approach	approach	NOUN
cana-997	259	3	achieved	achieve	VERB
cana-997	259	4	a	a	DET
cana-997	259	5	high	high	ADJ
cana-997	259	6	accuracy	accuracy	NOUN
cana-997	259	7	in	in	ADP
cana-997	259	8	predicting	predict	VERB
cana-997	259	9	potential	potential	ADJ
cana-997	259	10	security	security	NOUN
cana-997	259	11	vulnerabilities	vulnerability	NOUN
cana-997	259	12	in	in	ADP
cana-997	259	13	open	open	ADJ
cana-997	259	14	-	-	PUNCT
cana-997	259	15	source	source	NOUN
cana-997	259	16	software	software	NOUN
cana-997	259	17	systems	system	NOUN
cana-997	259	18	.	.	PUNCT
cana-997	260	1	codeql[11	codeql[11	X
cana-997	260	2	]	]	PUNCT
cana-997	260	3	is	be	AUX
cana-997	260	4	a	a	DET
cana-997	260	5	powerful	powerful	ADJ
cana-997	260	6	tool	tool	NOUN
cana-997	260	7	for	for	ADP
cana-997	260	8	detecting	detect	VERB
cana-997	260	9	vulnerabilities	vulnerability	NOUN
cana-997	260	10	in	in	ADP
cana-997	260	11	programs	program	NOUN
cana-997	260	12	.	.	PUNCT
cana-997	261	1	here	here	ADV
cana-997	261	2	’s	’	VERB
cana-997	261	3	a	a	DET
cana-997	261	4	simple	simple	ADJ
cana-997	261	5	example	example	NOUN
cana-997	261	6	codeql	codeql	NOUN
cana-997	261	7	query	query	NOUN
cana-997	261	8	that	that	PRON
cana-997	261	9	can	can	AUX
cana-997	261	10	help	help	VERB
cana-997	261	11	detect	detect	VERB
cana-997	261	12	sql	sql	NOUN
cana-997	261	13	injection	injection	NOUN
cana-997	261	14	vulnerabilities	vulnerability	NOUN
cana-997	261	15	in	in	ADP
cana-997	261	16	a	a	DET
cana-997	261	17	java	java	NOUN
cana-997	261	18	program	program	NOUN
cana-997	261	19	:	:	PUNCT
cana-997	261	20	in	in	ADP
cana-997	261	21	conclusion	conclusion	NOUN
cana-997	261	22	,	,	PUNCT
cana-997	261	23	several	several	ADJ
cana-997	261	24	vulnerability	vulnerability	NOUN
cana-997	261	25	prediction	prediction	NOUN
cana-997	261	26	approaches	approach	NOUN
cana-997	261	27	have	have	AUX
cana-997	261	28	been	be	AUX
cana-997	261	29	proposed	propose	VERB
cana-997	261	30	in	in	ADP
cana-997	261	31	the	the	DET
cana-997	261	32	literature	literature	NOUN
cana-997	261	33	,	,	PUNCT
cana-997	261	34	with	with	ADP
cana-997	261	35	many	many	ADJ
cana-997	261	36	of	of	ADP
cana-997	261	37	them	they	PRON
cana-997	261	38	utilizing	utilize	VERB
cana-997	261	39	machine	machine	NOUN
cana-997	261	40	learning	learn	VERB
cana-997	261	41	techniques	technique	NOUN
cana-997	261	42	to	to	PART
cana-997	261	43	predict	predict	VERB
cana-997	261	44	software	software	NOUN
cana-997	261	45	vulnerabilities	vulnerability	NOUN
cana-997	261	46	.	.	PUNCT
cana-997	262	1	however	however	ADV
cana-997	262	2	,	,	PUNCT
cana-997	262	3	most	most	ADJ
cana-997	262	4	of	of	ADP
cana-997	262	5	the	the	DET
cana-997	262	6	existing	exist	VERB
cana-997	262	7	approaches	approach	NOUN
cana-997	262	8	focus	focus	VERB
cana-997	262	9	on	on	ADP
cana-997	262	10	predicting	predict	VERB
cana-997	262	11	vulnerabilities	vulnerability	NOUN
cana-997	262	12	at	at	ADP
cana-997	262	13	the	the	DET
cana-997	262	14	source	source	NOUN
cana-997	262	15	code	code	NOUN
cana-997	262	16	level	level	NOUN
cana-997	262	17	,	,	PUNCT
cana-997	262	18	rather	rather	ADV
cana-997	262	19	than	than	ADP
cana-997	262	20	at	at	ADP
cana-997	262	21	the	the	DET
cana-997	262	22	function	function	NOUN
cana-997	262	23	/	/	SYM
cana-997	262	24	method	method	NOUN
cana-997	262	25	/	/	SYM
cana-997	262	26	class	class	NOUN
cana-997	262	27	level	level	NOUN
cana-997	262	28	.	.	PUNCT
cana-997	263	1	the	the	DET
cana-997	263	2	related	relate	VERB
cana-997	263	3	works	work	NOUN
cana-997	263	4	by	by	ADP
cana-997	263	5	yang	yang	PROPN
cana-997	263	6	et	et	PROPN
cana-997	263	7	al	al	PROPN
cana-997	263	8	.	.	PROPN
cana-997	263	9	and	and	CCONJ
cana-997	263	10	f	f	PROPN
cana-997	263	11	jaffar	jaffar	PROPN
cana-997	263	12	et	et	PROPN
cana-997	263	13	al	al	PROPN
cana-997	263	14	.	.	PROPN
cana-997	263	15	have	have	AUX
cana-997	263	16	proposed	propose	VERB
cana-997	263	17	approaches	approach	NOUN
cana-997	263	18	that	that	PRON
cana-997	263	19	can	can	AUX
cana-997	263	20	predict	predict	VERB
cana-997	263	21	vulnerabilities	vulnerability	NOUN
cana-997	263	22	at	at	ADP
cana-997	263	23	a	a	DET
cana-997	263	24	more	more	ADV
cana-997	263	25	granular	granular	ADJ
cana-997	263	26	level	level	NOUN
cana-997	263	27	,	,	PUNCT
cana-997	263	28	which	which	PRON
cana-997	263	29	can	can	AUX
cana-997	263	30	provide	provide	VERB
cana-997	263	31	more	more	ADV
cana-997	263	32	detailed	detailed	ADJ
cana-997	263	33	insights	insight	NOUN
cana-997	263	34	into	into	ADP
cana-997	263	35	potential	potential	ADJ
cana-997	263	36	security	security	NOUN
cana-997	263	37	vulnerabilities	vulnerability	NOUN
cana-997	263	38	in	in	ADP
cana-997	263	39	software	software	NOUN
cana-997	263	40	systems	system	NOUN
cana-997	263	41	.	.	PUNCT
cana-997	264	1	9	9	X
cana-997	264	2	.	.	X
cana-997	264	3	conclusion	conclusion	NOUN
cana-997	264	4	in	in	ADP
cana-997	264	5	conclusion	conclusion	NOUN
cana-997	264	6	,	,	PUNCT
cana-997	264	7	this	this	DET
cana-997	264	8	research	research	NOUN
cana-997	264	9	paper	paper	NOUN
cana-997	264	10	proposed	propose	VERB
cana-997	264	11	a	a	DET
cana-997	264	12	vulnerability	vulnerability	NOUN
cana-997	264	13	prediction	prediction	NOUN
cana-997	264	14	approach	approach	NOUN
cana-997	264	15	that	that	PRON
cana-997	264	16	involves	involve	VERB
cana-997	264	17	analyzing	analyze	VERB
cana-997	264	18	functions	function	NOUN
cana-997	264	19	/	/	SYM
cana-997	264	20	methods	method	NOUN
cana-997	264	21	/	/	SYM
cana-997	264	22	classes	class	NOUN
cana-997	264	23	in	in	ADP
cana-997	264	24	software	software	NOUN
cana-997	264	25	systems	system	NOUN
cana-997	264	26	.	.	PUNCT
cana-997	265	1	the	the	DET
cana-997	265	2	approach	approach	NOUN
cana-997	265	3	leverages	leverage	VERB
cana-997	265	4	static	static	ADJ
cana-997	265	5	analysis	analysis	NOUN
cana-997	265	6	techniques	technique	NOUN
cana-997	265	7	to	to	PART
cana-997	265	8	extract	extract	VERB
cana-997	265	9	features	feature	NOUN
cana-997	265	10	from	from	ADP
cana-997	265	11	functions	function	NOUN
cana-997	265	12	/	/	SYM
cana-997	265	13	methods	method	NOUN
cana-997	265	14	/	/	SYM
cana-997	265	15	classes	class	NOUN
cana-997	265	16	in	in	ADP
cana-997	265	17	software	software	NOUN
cana-997	265	18	systems	system	NOUN
cana-997	265	19	and	and	CCONJ
cana-997	265	20	then	then	ADV
cana-997	265	21	uses	use	VERB
cana-997	265	22	these	these	DET
cana-997	265	23	features	feature	NOUN
cana-997	265	24	to	to	PART
cana-997	265	25	train	train	VERB
cana-997	265	26	a	a	DET
cana-997	265	27	machine	machine	NOUN
cana-997	265	28	learning	learn	VERB
cana-997	265	29	model	model	NOUN
cana-997	265	30	that	that	PRON
cana-997	265	31	can	can	AUX
cana-997	265	32	predict	predict	VERB
cana-997	265	33	potential	potential	ADJ
cana-997	265	34	security	security	NOUN
cana-997	265	35	vulnerabilities	vulnerability	NOUN
cana-997	265	36	.	.	PUNCT
cana-997	266	1	the	the	DET
cana-997	266	2	evaluation	evaluation	NOUN
cana-997	266	3	of	of	ADP
cana-997	266	4	the	the	DET
cana-997	266	5	proposed	propose	VERB
cana-997	266	6	approach	approach	NOUN
cana-997	266	7	showed	show	VERB
cana-997	266	8	that	that	SCONJ
cana-997	266	9	it	it	PRON
cana-997	266	10	is	be	AUX
cana-997	266	11	effective	effective	ADJ
cana-997	266	12	in	in	ADP
cana-997	266	13	identifying	identify	VERB
cana-997	266	14	potential	potential	ADJ
cana-997	266	15	security	security	NOUN
cana-997	266	16	vulnerabilities	vulnerability	NOUN
cana-997	266	17	in	in	ADP
cana-997	266	18	software	software	NOUN
cana-997	266	19	systems	system	NOUN
cana-997	266	20	and	and	CCONJ
cana-997	266	21	outperformed	outperform	VERB
cana-997	266	22	other	other	ADJ
cana-997	266	23	vulnerability	vulnerability	NOUN
cana-997	266	24	prediction	prediction	NOUN
cana-997	266	25	approaches	approach	NOUN
cana-997	266	26	in	in	ADP
cana-997	266	27	terms	term	NOUN
cana-997	266	28	of	of	ADP
cana-997	266	29	precision	precision	NOUN
cana-997	266	30	,	,	PUNCT
cana-997	266	31	recall	recall	NOUN
cana-997	266	32	,	,	PUNCT
cana-997	266	33	f1	f1	NOUN
cana-997	266	34	score	score	NOUN
cana-997	266	35	,	,	PUNCT
cana-997	266	36	and	and	CCONJ
cana-997	266	37	auc	auc	NOUN
cana-997	266	38	-	-	PUNCT
cana-997	266	39	roc	roc	NOUN
cana-997	266	40	.	.	PUNCT
cana-997	267	1	the	the	DET
cana-997	267	2	proposed	propose	VERB
cana-997	267	3	approach	approach	NOUN
cana-997	267	4	can	can	AUX
cana-997	267	5	provide	provide	VERB
cana-997	267	6	several	several	ADJ
cana-997	267	7	benefits	benefit	NOUN
cana-997	267	8	to	to	PART
cana-997	267	9	software	software	VERB
cana-997	267	10	development	development	NOUN
cana-997	267	11	teams	team	NOUN
cana-997	267	12	.	.	PUNCT
cana-997	268	1	it	it	PRON
cana-997	268	2	can	can	AUX
cana-997	268	3	help	help	AUX
cana-997	268	4	identify	identify	VERB
cana-997	268	5	potential	potential	ADJ
cana-997	268	6	security	security	NOUN
cana-997	268	7	vulnerabilities	vulnerability	NOUN
cana-997	268	8	early	early	ADV
cana-997	268	9	in	in	ADP
cana-997	268	10	the	the	DET
cana-997	268	11	software	software	NOUN
cana-997	268	12	development	development	NOUN
cana-997	268	13	lifecycle	lifecycle	NOUN
cana-997	268	14	,	,	PUNCT
cana-997	268	15	leading	lead	VERB
cana-997	268	16	to	to	ADP
cana-997	268	17	the	the	DET
cana-997	268	18	communications	communication	NOUN
cana-997	268	19	on	on	ADP
cana-997	268	20	applied	apply	VERB
cana-997	268	21	nonlinear	nonlinear	ADJ
cana-997	268	22	analysis	analysis	NOUN
cana-997	268	23	issn	issn	NOUN
cana-997	268	24	:	:	PUNCT
cana-997	268	25	1074	1074	NUM
cana-997	268	26	-	-	PUNCT
cana-997	268	27	133x	133x	NUM
cana-997	268	28	vol	vol	NOUN
cana-997	268	29	31	31	NUM
cana-997	268	30	no	no	NOUN
cana-997	268	31	.	.	PUNCT
cana-997	269	1	5s	5s	NUM
cana-997	269	2	(	(	PUNCT
cana-997	269	3	2024	2024	NUM
cana-997	269	4	)	)	PUNCT
cana-997	269	5	37	37	NUM
cana-997	269	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-997	269	7	development	development	NOUN
cana-997	269	8	of	of	ADP
cana-997	269	9	more	more	ADV
cana-997	269	10	secure	secure	ADJ
cana-997	269	11	software	software	NOUN
cana-997	269	12	systems	system	NOUN
cana-997	269	13	.	.	PUNCT
cana-997	270	1	it	it	PRON
cana-997	270	2	can	can	AUX
cana-997	270	3	also	also	ADV
cana-997	270	4	reduce	reduce	VERB
cana-997	270	5	the	the	DET
cana-997	270	6	cost	cost	NOUN
cana-997	270	7	and	and	CCONJ
cana-997	270	8	time	time	NOUN
cana-997	270	9	associated	associate	VERB
cana-997	270	10	with	with	ADP
cana-997	270	11	manual	manual	ADJ
cana-997	270	12	code	code	NOUN
cana-997	270	13	review	review	NOUN
cana-997	270	14	and	and	CCONJ
cana-997	270	15	testing	testing	NOUN
cana-997	270	16	by	by	ADP
cana-997	270	17	automating	automate	VERB
cana-997	270	18	the	the	DET
cana-997	270	19	process	process	NOUN
cana-997	270	20	of	of	ADP
cana-997	270	21	vulnerability	vulnerability	NOUN
cana-997	270	22	detection	detection	NOUN
cana-997	270	23	.	.	PUNCT
cana-997	271	1	additionally	additionally	ADV
cana-997	271	2	,	,	PUNCT
cana-997	271	3	the	the	DET
cana-997	271	4	proposed	propose	VERB
cana-997	271	5	approach	approach	NOUN
cana-997	271	6	can	can	AUX
cana-997	271	7	be	be	AUX
cana-997	271	8	used	use	VERB
cana-997	271	9	to	to	PART
cana-997	271	10	prioritize	prioritize	VERB
cana-997	271	11	vulnerability	vulnerability	NOUN
cana-997	271	12	remediation	remediation	NOUN
cana-997	271	13	efforts	effort	NOUN
cana-997	271	14	,	,	PUNCT
cana-997	271	15	allowing	allow	VERB
cana-997	271	16	software	software	NOUN
cana-997	271	17	development	development	NOUN
cana-997	271	18	teams	team	NOUN
cana-997	271	19	to	to	PART
cana-997	271	20	focus	focus	VERB
cana-997	271	21	on	on	ADP
cana-997	271	22	the	the	DET
cana-997	271	23	most	most	ADV
cana-997	271	24	critical	critical	ADJ
cana-997	271	25	vulnerabilities	vulnerability	NOUN
cana-997	271	26	first	first	ADV
cana-997	271	27	.	.	PUNCT
cana-997	272	1	however	however	ADV
cana-997	272	2	,	,	PUNCT
cana-997	272	3	it	it	PRON
cana-997	272	4	is	be	AUX
cana-997	272	5	important	important	ADJ
cana-997	272	6	to	to	PART
cana-997	272	7	note	note	VERB
cana-997	272	8	that	that	SCONJ
cana-997	272	9	the	the	DET
cana-997	272	10	proposed	propose	VERB
cana-997	272	11	approach	approach	NOUN
cana-997	272	12	has	have	VERB
cana-997	272	13	some	some	DET
cana-997	272	14	limitations	limitation	NOUN
cana-997	272	15	.	.	PUNCT
cana-997	273	1	the	the	DET
cana-997	273	2	approach	approach	NOUN
cana-997	273	3	relies	rely	VERB
cana-997	273	4	on	on	ADP
cana-997	273	5	labeled	label	VERB
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cana-997	273	7	to	to	PART
cana-997	273	8	train	train	VERB
cana-997	273	9	the	the	DET
cana-997	273	10	machine	machine	NOUN
cana-997	273	11	learning	learn	VERB
cana-997	273	12	model	model	NOUN
cana-997	273	13	,	,	PUNCT
cana-997	273	14	and	and	CCONJ
cana-997	273	15	obtaining	obtain	VERB
cana-997	273	16	labeled	label	VERB
cana-997	273	17	data	datum	NOUN
cana-997	273	18	for	for	ADP
cana-997	273	19	security	security	NOUN
cana-997	273	20	vulnerabilities	vulnerability	NOUN
cana-997	273	21	can	can	AUX
cana-997	273	22	be	be	AUX
cana-997	273	23	challenging	challenge	VERB
cana-997	273	24	.	.	PUNCT
cana-997	274	1	additionally	additionally	ADV
cana-997	274	2	,	,	PUNCT
cana-997	274	3	the	the	DET
cana-997	274	4	approach	approach	NOUN
cana-997	274	5	may	may	AUX
cana-997	274	6	not	not	PART
cana-997	274	7	be	be	AUX
cana-997	274	8	effective	effective	ADJ
cana-997	274	9	in	in	ADP
cana-997	274	10	identifying	identify	VERB
cana-997	274	11	complex	complex	ADJ
cana-997	274	12	or	or	CCONJ
cana-997	274	13	novel	novel	ADJ
cana-997	274	14	vulnerabilities	vulnerability	NOUN
cana-997	274	15	that	that	PRON
cana-997	274	16	are	be	AUX
cana-997	274	17	not	not	PART
cana-997	274	18	included	include	VERB
cana-997	274	19	in	in	ADP
cana-997	274	20	the	the	DET
cana-997	274	21	labeled	label	VERB
cana-997	274	22	data	datum	NOUN
cana-997	274	23	.	.	PUNCT
cana-997	275	1	therefore	therefore	ADV
cana-997	275	2	,	,	PUNCT
cana-997	275	3	further	further	ADJ
cana-997	275	4	research	research	NOUN
cana-997	275	5	is	be	AUX
cana-997	275	6	needed	need	VERB
cana-997	275	7	to	to	PART
cana-997	275	8	address	address	VERB
cana-997	275	9	these	these	DET
cana-997	275	10	limitations	limitation	NOUN
cana-997	275	11	and	and	CCONJ
cana-997	275	12	improve	improve	VERB
cana-997	275	13	the	the	DET
cana-997	275	14	effectiveness	effectiveness	NOUN
cana-997	275	15	of	of	ADP
cana-997	275	16	the	the	DET
cana-997	275	17	proposed	propose	VERB
cana-997	275	18	approach	approach	NOUN
cana-997	275	19	.	.	PUNCT
cana-997	276	1	overall	overall	ADV
cana-997	276	2	,	,	PUNCT
cana-997	276	3	the	the	DET
cana-997	276	4	proposed	propose	VERB
cana-997	276	5	vulnerability	vulnerability	NOUN
cana-997	276	6	prediction	prediction	NOUN
cana-997	276	7	approach	approach	NOUN
cana-997	276	8	has	have	VERB
cana-997	276	9	the	the	DET
cana-997	276	10	potential	potential	NOUN
cana-997	276	11	to	to	PART
cana-997	276	12	improve	improve	VERB
cana-997	276	13	the	the	DET
cana-997	276	14	security	security	NOUN
cana-997	276	15	of	of	ADP
cana-997	276	16	software	software	NOUN
cana-997	276	17	systems	system	NOUN
cana-997	276	18	and	and	CCONJ
cana-997	276	19	provide	provide	VERB
cana-997	276	20	valuable	valuable	ADJ
cana-997	276	21	insights	insight	NOUN
cana-997	276	22	into	into	ADP
cana-997	276	23	potential	potential	ADJ
cana-997	276	24	security	security	NOUN
cana-997	276	25	vulnerabilities	vulnerability	NOUN
cana-997	276	26	.	.	PUNCT
cana-997	277	1	10	10	NUM
cana-997	277	2	.	.	X
cana-997	277	3	future	future	ADJ
cana-997	277	4	scope	scope	NOUN
cana-997	277	5	the	the	DET
cana-997	277	6	model	model	NOUN
cana-997	277	7	developed	develop	VERB
cana-997	277	8	by	by	ADP
cana-997	277	9	us	we	PRON
cana-997	277	10	can	can	AUX
cana-997	277	11	only	only	ADV
cana-997	277	12	classify	classify	VERB
cana-997	277	13	and	and	CCONJ
cana-997	277	14	detect	detect	VERB
cana-997	277	15	common	common	ADJ
cana-997	277	16	vulnerabilities	vulnerability	NOUN
cana-997	277	17	and	and	CCONJ
cana-997	277	18	is	be	AUX
cana-997	277	19	not	not	PART
cana-997	277	20	an	an	DET
cana-997	277	21	allpowerful	allpowerful	ADJ
cana-997	277	22	tool	tool	NOUN
cana-997	277	23	that	that	PRON
cana-997	277	24	can	can	AUX
cana-997	277	25	detect	detect	VERB
cana-997	277	26	all	all	DET
cana-997	277	27	possible	possible	ADJ
cana-997	277	28	vulnerabilities	vulnerability	NOUN
cana-997	277	29	.	.	PUNCT
cana-997	278	1	further	further	ADJ
cana-997	278	2	work	work	NOUN
cana-997	278	3	can	can	AUX
cana-997	278	4	be	be	AUX
cana-997	278	5	done	do	VERB
cana-997	278	6	to	to	PART
cana-997	278	7	try	try	VERB
cana-997	278	8	and	and	CCONJ
cana-997	278	9	develop	develop	VERB
cana-997	278	10	a	a	DET
cana-997	278	11	model	model	NOUN
cana-997	278	12	that	that	PRON
cana-997	278	13	may	may	AUX
cana-997	278	14	be	be	AUX
cana-997	278	15	able	able	ADJ
cana-997	278	16	to	to	PART
cana-997	278	17	do	do	VERB
cana-997	278	18	the	the	DET
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cana-997	278	20	and	and	CCONJ
cana-997	278	21	even	even	ADV
cana-997	278	22	at	at	ADP
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cana-997	279	2	our	our	PRON
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cana-997	279	9	to	to	PART
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cana-997	279	11	the	the	DET
cana-997	279	12	model	model	NOUN
cana-997	279	13	.	.	PUNCT
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cana-997	280	2	[	[	X
cana-997	280	3	1	1	NUM
cana-997	280	4	]	]	PUNCT
cana-997	280	5	w.	w.	PROPN
cana-997	280	6	wang	wang	PROPN
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cana-997	280	11	n.	n.	PROPN
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cana-997	280	13	and	and	CCONJ
cana-997	280	14	g.	g.	PROPN
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cana-997	280	16	,	,	PUNCT
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cana-997	280	30	transactions	transaction	NOUN
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cana-997	280	33	engineering	engineering	NOUN
cana-997	280	34	,	,	PUNCT
cana-997	280	35	vol	vol	NOUN
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cana-997	280	38	,	,	PUNCT
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cana-997	280	42	,	,	PUNCT
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cana-997	280	44	.	.	PUNCT
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cana-997	280	47	1	1	NUM
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