Combining and Adapting Software Quality Predictive Models by Genetic Algorithms

Authors:
Danielle Azar;Doina Precup;Salah Bouktif;Balázs Kégl;Houari Sahraoui
Affiliations:
-;-;-;-;-
Venue:
Proceedings of the 17th IEEE international conference on Automated software engineering
Year:
2002

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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.