Empirical Principles and an Industrial Case Study in Retrieving Equivalent Requirements via Natural Language Processing Techniques

dc.contributor.author	Falessi, Davide
dc.contributor.author	Cantone, Giovanni
dc.contributor.author	Canfora, Gerardo
dc.date.accessioned	2022-02-07T08:35:10Z
dc.date.available	2022-02-07T08:35:10Z
dc.date.issued	2013
dc.identifier.issn	0098-5589
dc.identifier.uri	http://repository.usthb.dz//xmlui/handle/123456789/8889
dc.description	18-44 p. ; 3.722ko.	en_US
dc.language.iso	en	en_US
dc.publisher	Institute of electrical and electronics engineers	en_US
dc.subject	Traitement du langage naturel (informatique)	en_US
dc.subject	Génie logiciel empirique	en_US
dc.subject	Décomposition matricielle	en_US
dc.subject	Langages de programmation -- Sémantique	en_US
dc.title	Empirical Principles and an Industrial Case Study in Retrieving Equivalent Requirements via Natural Language Processing Techniques	en_US
dc.type	Article	en_US