Bug triaging refers to the process of assigning a bug to the most appropriate fixer. As the scale and complexity of software increases, bug triaging becomes a tedious and time-consuming work. Existing bug triaging approaches typically treat it as a problem of optimizing recommendation accuracy. However, the time that different fixers may spend also varies. Thus, we take time cost as another optimizing objective aside from accuracy and use modern portfolio theory to strike a balance between them. In addition, for fixers with little fixing records, we need more data to build profiles about their expertise. To address these problems, we propose a bug triaging approach with awareness of accuracy and time cost, and we use bug reports from other projects to enrich the bug fixing history of fixers. We evaluate our approach with experiments on data collected from Bugzilla. The experiment results validate the effectiveness of our approach.
DABT: A Dependency-aware Bug Triaging Method