17th IEEE International Conference on Automated Software Engineering

Azar, D.; Precup, D.; Boukif, S.; Kegl, B.; Sahraoui, H.

dc.coverage.spatial	Edinburgh, UK	en_US
dc.creator	Azar, D.	en_US
dc.creator	Precup, D.	en_US
dc.creator	Boukif, S.	en_US
dc.creator	Kegl, B.	en_US
dc.creator	Sahraoui, H.	en_US
dc.date.accessioned	2017-03-15T09:46:39Z
dc.date.available	2017-03-15T09:46:39Z
dc.identifier.uri	http://hdl.handle.net/10725/5371
dc.description.abstract	The goal of quality models is to predict a quality factor starting from a set of direct measures. Selecting an appropriate quality model for a particular software is a difficult, non-trivial decision. In this paper, we propose an approach to combine and/or adapt existing models (experts) in such way that the combined/adapted model works well on the particular system. Test results indicate that the models perform significantly better than individual experts in the pool.	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.title	17th IEEE International Conference on Automated Software Engineering	en_US
dc.title	Combining and adapting software quality predictive models by genetic algorithms	en_US
dc.type	Conference Paper / Proceeding	en_US
dc.creator.school	SAS	en_US
dc.creator.identifier	1988332240	en_US
dc.creator.department	Computer Science and Mathematics	en_US
dc.description.embargo	N/A	en_US
dc.keywords	Software quality	en_US
dc.keywords	Predictive models	en_US
dc.keywords	Genetic algorithms	en_US
dc.keywords	Computer science	en_US
dc.keywords	Q factor	en_US
dc.keywords	Testing	en_US
dc.keywords	Software engineering	en_US
dc.keywords	Performance evaluation	en_US
dc.keywords	Decision trees	en_US
dc.keywords	Classification tree analysis	en_US
dc.identifier.doi	http://dx.doi.org/10.1109/ASE.2002.1115031	en_US
dc.identifier.ctation	Azar, D., Precup, D., Bouktif, S., Kégl, B., & Sahraoui, H. (2002). Combining and adapting software quality predictive models by genetic algorithms. In Automated Software Engineering, 2002. Proceedings. ASE 2002. 17th IEEE International Conference on (pp. 285-288). IEEE.	en_US
dc.creator.email	danielle.azar@lau.edu.lb	en_US
dc.date.created	23-27 Sept. 2002	en_US
dc.description.pages	1-4	en_US
dc.description.tou	http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php	en_US
dc.identifier.url	http://ieeexplore.ieee.org/abstract/document/1115031/	en_US
dc.creator.ispartof	Lebanese American University	en_US