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New Technologies, Mobility and Security

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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.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


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