New Technologies, Mobility and Security

dc.contributor.editor	Labiod, Houda
dc.contributor.editor	Badra, Mohamad
dc.date.accessioned	2018-04-20T07:23:51Z
dc.date.available	2018-04-20T07:23:51Z
dc.date.issued	2018-04-20
dc.identifier.uri	http://hdl.handle.net/10725/7435
dc.language.iso	en	en_US
dc.publisher	Springer	en_US
dc.title	New Technologies, Mobility and Security	en_US
dc.type	Book / Chapter of a Book	en_US
dc.author.school	SAS	en_US
dc.author.idnumber	198833240	en_US
dc.author.department	Computer Science and Mathematics	en_US
dc.keywords	Software system number	en_US
dc.keywords	Software quality	en_US
dc.keywords	Classifiction label	en_US
dc.keywords	Software metrics	en_US
dc.keywords	Random guess	en_US
dc.description.bibliographiccitations	Includes bibliographical references	en_US
dc.identifier.ctation	Azar, D., & Precup, D. (2007). An adaptive approach to optimize software component quality predictive models: Case of stability. In New Technologies, Mobility and Security (pp. 297-310). Springer, Dordrecht.	en_US
dc.author.email	danielle.azar@lau.edu.lb	en_US
dc.chapter.title	An adaptive approach to optimize software component quality predictive models: case of stability	en_US
dc.identifier.tou	http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php	en_US
dc.identifier.url	https://link.springer.com/chapter/10.1007/978-1-4020-6270-4_25	en_US
dc.book.author	Azar, Danielle
dc.book.author	Precup, Donia
dc.author.affiliation	Lebanese American University	en_US