Fine-Grained Incremental Learning and Multi-Feature Tossing Graphs to Improve Bug Triaging
Software bugs are inevitable and bug fixing is a difficult, expensive, and lengthy process. One of the primary reasons why bug fixing takes so long is the difficulty of accurately assigning a bug to the most competent developer for that bug kind or bug class. Assigning a bug to a potential developer, also known as bug triaging, is a labor-intensive, time-consuming and fault-prone process if done manually. Moreover, bugs frequently get reassigned to multiple developers before they are resolved, a process known as bug tossing. Researchers have proposed automated techniques to facilitate bug triaging and reduce bug tossing using machine learning-based prediction and tossing graphs.