抄録
Large software projects such as Mozilla Firefox and Eclipse own more than ten thousand bug reports that have been reported but left unresolved. To utilize such a great amount of unresolved bug reports and accelerate bug detection and removal, we propose to a way recommend programmers a bug report that is likely to contain failure descriptions related to a source file being inspected. We employ the vector space model (VSM) to make a relevancy ranking of bug reports to a given source file. The result of an experiment using data of three open source software projects showed that the accuracies of recommendations ranged from 21.74% to 60.05% in terms of the percentage of recommendations that contained relevant bug reports in a top 10 recommended list.
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キーワード
- program debugging
- project management
- public domain software
- recommender systems
- source code (software)
- open source software projects
- bug report relevancy ranking
- VSM
- vector space model
- source file inspection
- failure descriptions
- bug removal
- bug detection
- Eclipse
- Mozilla Firefox
- code inspection
- bug report recommendation
- Inspection
- Vectors
- Computer bugs
- Analytical models
- Open source software
- Data mining
詳細情報 詳細情報について
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- CRID
- 1050858784329652608
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- NII論文ID
- 120006693717
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- HANDLE
- 10061/12739
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- 本文言語コード
- en
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- 資料種別
- conference paper
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- データソース種別
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- IRDB
- CiNii Articles