Publication: Collaborative bug triaging using textual similarities and change set analysis
Collaborative bug triaging using textual similarities and change set analysis
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Kevic, K., Müller, S. C., Fritz, T., & Gall, H. C. (2013). Collaborative bug triaging using textual similarities and change set analysis. 17–25. https://doi.org/10.1109/CHASE.2013.6614727
Abstract
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Bug triaging assigns a bug report, which is also known as a work item, an issue, a task or simply a bug, to the most appropriate software developer for fixing or implementing it. However, this task is tedious, time-consuming and error-prone if not supported by effective means. Current techniques either use information retrieval and machine learning to find the most similar bugs already fixed and recommend expert developers, or they analyze change information stemming from source code to propose expert bug solvers. Neither technique co
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- Kevic, Katja
- Müller, Sebastian C
- Fritz, Thomas
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Kevic, K., Müller, S. C., Fritz, T., & Gall, H. C. (2013). Collaborative bug triaging using textual similarities and change set analysis. 17–25. https://doi.org/10.1109/CHASE.2013.6614727
