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• W3096358761 endingPage "110861" @default.
• W3096358761 startingPage "110861" @default.
• W3096358761 abstract "Automatic fault localization is essential for software engineering. However, fault localization suffers from the interactions among multiple faults. Our previous research revealed that the fault-coupling effect is responsible for the weakened fault localization performance in multiple-fault programs. On the basis of this finding, we propose a Test Case Restoration Method based on the Genetic Algorithm (TRGA) to search potential coupling test cases and conduct a restoration process for eliminating the coupling effect. The major contributions of the current study are as follows: (1) the construction of a fitness function to measure the possibility of failed test cases becoming coupling test cases; (2) the development of a TRGA that searches potential coupling test cases; (3) and an evaluation of the TRGA efficiency across 14 open-source programs, three spectrum-based fault localizations, and two parallel debugging techniques. The results revealed the TRGA outperformed the original fault localization techniques in 74.28% and 78.57% of the scenarios in the best and worst cases, respectively. On average, the percentage improvement was 4.43% for the best case and 2% for the worst case. A detailed discussion of TRGA parameter settings is also provided." @default.
• W3096358761 created "2020-11-09" @default.
• W3096358761 creator A5048826252 @default.
• W3096358761 creator A5054827179 @default.
• W3096358761 creator A5069003845 @default.
• W3096358761 date "2021-02-01" @default.
• W3096358761 modified "2023-09-24" @default.
• W3096358761 title "A Test Restoration Method based on Genetic Algorithm for effective fault localization in multiple-fault programs" @default.
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• W3096358761 doi "https://doi.org/10.1016/j.jss.2020.110861" @default.
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