Tracking concept drift of software projects using defect prediction quality

Defect prediction is an important task in the mining of software repositories, but the quality of predictions varies strongly within and across software projects. In this paper we investigate the reasons why the prediction quality is so fluctuating due to the altering nature of the bug (or defect) fixing process. Therefore, we adopt the notion of a concept drift, which denotes that the defect prediction model has become unsuitable as set of influencing features has changed – usually due to a change in the underlying bug generation process (i.e., the concept). We explore four open source projects (Eclipse, OpenOffice, Netbeans and Mozilla) and construct file-level and project-level features for each of them from their respective CVS and Bugzilla repositories. We then use this data to build defect prediction models and visualize the prediction quality along the time axis. These visualizations allow us to identify concept drifts and – as a consequence – phases of stability and...

• Type: Conference
• Year: 2009
• Where: MSR
• Authors: Jayalath Ekanayake, Jonas Tappolet, Harald Gall, Abraham Bernstein
• Keywords: Concept Drift, Defect Prediction, MSR 2009, Prediction Quality, Software Engineering