Fuzzy set-based automatic bug triaging (NIER track)

Authors:
Ahmed Tamrawi;Tung Thanh Nguyen;Jafar Al-Kofahi;Tien N. Nguyen
Affiliations:
Iowa State University, Ames, IA, USA;Iowa State University, Ames, IA, USA;Iowa State University, Ames, IA, USA;Iowa State University, Ames, IA, USA
Venue:
Proceedings of the 33rd International Conference on Software Engineering
Year:
2011

Citing 8
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Abstract

Assigning a bug to the right developer is a key in reducing the cost, time, and efforts for developers in a bug fixing process. This assignment process is often referred to as bug triaging. In this paper, we propose Bugzie, a novel approach for automatic bug triaging based on fuzzy set-based modeling of bug-fixing expertise of developers. Bugzie considers a system to have multiple technical aspects, each is associated with technical terms. Then, it uses a fuzzy set to represent the developers who are capable/competent of fixing the bugs relevant to each term. The membership function of a developer in a fuzzy set is calculated via the terms extracted from the bug reports that (s)he has fixed, and the function is updated as new fixed reports are available. For a new bug report, its terms are extracted and corresponding fuzzy sets are union'ed. Potential fixers will be recommended based on their membership scores in the union'ed fuzzy set. Our preliminary results show that Bugzie achieves higher accuracy and efficiency than other state-of-the-art approaches.