XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence
Manually finding the program unit (e.g., class, method, or statement) responsible for a fault is tedious and time-consuming. To mitigate this problem, many fault localization techniques have been proposed. A popular family of such techniques is spectrum-based fault localization (SBFL), which takes p...
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| Main Authors: | , , , , , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2022
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| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/7639 https://ink.library.smu.edu.sg/context/sis_research/article/8642/viewcontent/929800a499.pdf |
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