Combining and Adapting Software Quality Predictive Models by Genetic Algorithms

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17th IEEE International Conference on Automated Software Engineering (ASE'02)

Edinburgh, UK

September 23-September 27

ISBN: 0-7695-1736-6

	ASCII Text	x
	Danielle Azar, Doina Precup, Salah Bouktif, Balázs Kégl, Houari Sahraoui, "Combining and Adapting Software Quality Predictive Models by Genetic Algorithms," Automated Software Engineering, International Conference on, pp. 285, 17th IEEE International Conference on Automated Software Engineering (ASE'02), 2002.

	BibTex	x
	@article{ 10.1109/ASE.2002.1115031, author = {Danielle Azar and Doina Precup and Salah Bouktif and Balázs Kégl and Houari Sahraoui}, title = {Combining and Adapting Software Quality Predictive Models by Genetic Algorithms}, journal ={Automated Software Engineering, International Conference on}, volume = {0}, year = {2002}, issn = {1527-1366}, pages = {285}, doi = {http://doi.ieeecomputersociety.org/10.1109/ASE.2002.1115031}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Automated Software Engineering, International Conference on TI - Combining and Adapting Software Quality Predictive Models by Genetic Algorithms SN - 1527-1366 SP EP A1 - Danielle Azar, A1 - Doina Precup, A1 - Salah Bouktif, A1 - Balázs Kégl, A1 - Houari Sahraoui, PY - 2002 KW - null VL - 0 JA - Automated Software Engineering, International Conference on ER -

Danielle Azar, McGill University

Doina Precup, McGill University

Salah Bouktif, University of Montreal

Balázs Kégl, University of Montreal

Houari Sahraoui, University of Montreal

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ASE.2002.1115031

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.

Citation:

Danielle Azar, Doina Precup, Salah Bouktif, Balázs Kégl, Houari Sahraoui, "Combining and Adapting Software Quality Predictive Models by Genetic Algorithms," ase, pp.285, 17th IEEE International Conference on Automated Software Engineering (ASE'02), 2002

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