XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence

• Main Authors: RATNADIRA WIDYASARI, PRANA, Gede Artha Azriadi, AGUS HARYONO, Stefanus, TIAN, Yuan, ZACHIARY, Hafil Noer, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Fault localization; Explainable artificial intelligence (XAI); Model-agnostic explanation technique; Spectrum-based fault localization; Testing and debugging; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7639; https://ink.library.smu.edu.sg/context/sis_research/article/8642/viewcontent/929800a499.pdf
• Institution: Singapore Management University

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...