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| Content Provider | ACM Digital Library |
|---|---|
| Author | Rao, Swathi Sinha, Vibha Singhal Sinha, Saurabh |
| Abstract | Information about the origins of a bug can be useful for many applications, such as the computation of defect age and fault-proneness of code components. Although there exists an extensive body of research that has investigated the applications of bug-fix information, the computation of bug-origin information and its applications have largely been ignored--the only known approach for identifying bug origins has limitations. In this paper, we present a new approach for identifying bug-introducing code changes. The key innovation of our approach is that it analyzes the effects of bug-fix code changes on program dependences and, based on these effects, identifies the bug-introducing version. Thus, unlike the existing approach, which is text-based, our technique partially takes into account semantics of code changes. This can make it not only more accurate, but also applicable to a wider class of bug-fix code changes.To evaluate the feasibility and usefulness of our technique, we performed a preliminary empirical evaluation. Our results indicate that technique can be more effective than the text-based approach, and has an acceptable computational cost, be potentially useful in practice. |
| Starting Page | 3 |
| Ending Page | 12 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781605589220 |
| DOI | 10.1145/1730874.1730879 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-02-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Bug-introducing changes Program differencing Bug-fix changes Dependence anal- ysis |
| Content Type | Text |
| Resource Type | Article |
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