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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jalbert, N. Weimer, W. |
| Copyright Year | 2008 |
| Description | Author affiliation: Univ. of Virginia, Charlottesville, VA (Jalbert, N.; Weimer, W.) |
| Abstract | Bug tracking systems are important tools that guide the maintenance activities of software developers. The utility of these systems is hampered by an excessive number of duplicate bug reports-in some projects as many as a quarter of all reports are duplicates. Developers must manually identify duplicate bug reports, but this identification process is time-consuming and exacerbates the already high cost of software maintenance. We propose a system that automatically classifies duplicate bug reports as they arrive to save developer time. This system uses surface features, textual semantics, and graph clustering to predict duplicate status. Using a dataset of 29,000 bug reports from the Mozilla project, we perform experiments that include a simulation of a real-time bug reporting environment. Our system is able to reduce development cost by filtering out 8% of duplicate bug reports while allowing at least one report for each real defect to reach developers. |
| Starting Page | 52 |
| Ending Page | 61 |
| File Size | 449274 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781424423972 |
| DOI | 10.1109/DSN.2008.4630070 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software Computer bugs Clustering algorithms Predictive models Distance measurement Conferences Databases |
| Content Type | Text |
| Resource Type | Article |
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