A Bug You Like: A Framework for Automated Assignment of Bugs

被引：39
|
作者：
Baysal, Olga [1 ]
Godfrey, Michael W. [1 ]
Cohen, Robin [1 ]
机构：
[1] Univ Waterloo, Sch Comp Sci, Waterloo, ON N2L 3G1, Canada
来源：
ICPC: 2009 IEEE 17TH INTERNATIONAL CONFERENCE ON PROGRAM COMPREHENSION | 2009年
关键词：
D O I：
10.1109/ICPC.2009.5090066
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：297 / 298
页数：2
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