Real world projects, real faults: Evaluating spectrum based fault localization techniques on Python projects
Spectrum Based Fault Localization (SBFL) is a statistical approach to identify faulty code within a program given a program spectra (i.e., records of program elements executed by passing and failing test cases). Several SBFL techniques have been proposed over the years, but most evaluations of those...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2022
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/7321 https://ink.library.smu.edu.sg/context/sis_research/article/8324/viewcontent/RealWorldProblems_Faults_av.pdf |
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| Institution: | Singapore Management University |
| Language: | English |