Dynamic bugs prioritization in open source repositories with evolutionary techniques

Abstract

The bugs prioritization in open source repositories is considered an important and complex task. Mainly because, a lot of information about bugs changes over time and affects the prioritization process. Based on this dynamic characteristic, this work proposes a model to prioritize bugs as dynamic optimization problem. A preliminary empirical study was conduced comparing two dynamic evolutionary approaches and a static one. The achieved results demonstrated that a dynamic approach outperforms the static one in all evaluated scenarios.