A bug you like: A framework for automated assignment of bugs

Assigning bug reports to individual developers is typically a manual, time-consuming, and tedious task. In this paper, we present a framework for automated assignment of bug-fixing tasks. Our approach employs preference elicitation to learn developer predilections in fixing bugs within a given system. This approach infers knowledge about a developer’s expertise by analyzing the history of bugs previously resolved by the developer. We apply a vector space model to recommend experts for resolving bugs. When a new bug report arrives, the system automatically assigns it to the appropriate developer considering his or her expertise, current workload, and preferences. We address the task allocation problem by proposing a set of heuristics that support accurate assignment of bug reports to the developers.

• Type: Conference
• Year: 2009
• Where: IWPC
• Authors: Olga Baysal, Michael W. Godfrey, Robin Cohen
• Keywords: Approach Employs Preference, Bug Reports, Developer Predilections, IWPC 2009, Software Engineering