FTFL: A Fisher’s test-based approach for fault localization
For effective fault localization, we propose a modified Fisher’s test-based statistical method that makes use of test execution results as well as statement coverage information to determine the suspiciousness of each executable statement. Our technique returns a rank list of statements based on the...
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| Published in: | Innovations in systems and software engineering Vol. 17; no. 4; pp. 381 - 405 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Springer London
01-12-2021
Springer Nature B.V |
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| Abstract | For effective fault localization, we propose a modified Fisher’s test-based statistical method that makes use of test execution results as well as statement coverage information to determine the suspiciousness of each executable statement. Our technique returns a rank list of statements based on their suspiciousness of containing a fault. We also discuss an extension to our proposed approach for localizing programs with multiple faults. This involves partitioning the failed test cases into clusters such that they target different faults. Our experimental studies show that on an average, our proposed fault localization technique requires examination of 37.09% less code than existing techniques for localizing faults. |
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| AbstractList | For effective fault localization, we propose a modified Fisher’s test-based statistical method that makes use of test execution results as well as statement coverage information to determine the suspiciousness of each executable statement. Our technique returns a rank list of statements based on their suspiciousness of containing a fault. We also discuss an extension to our proposed approach for localizing programs with multiple faults. This involves partitioning the failed test cases into clusters such that they target different faults. Our experimental studies show that on an average, our proposed fault localization technique requires examination of 37.09% less code than existing techniques for localizing faults. |
| Author | Kunal, Krishna Shankar, Shubham Srivastava, Saksham Sahai Mall, Rajib Dutta, Arpita |
| Author_xml | – sequence: 1 givenname: Arpita orcidid: 0000-0001-7887-3264 surname: Dutta fullname: Dutta, Arpita email: arpitad10j@gmail.com organization: Department of CSE, IIT Kharagpur – sequence: 2 givenname: Krishna surname: Kunal fullname: Kunal, Krishna organization: Department of Mathematics, IIT Kharagpur – sequence: 3 givenname: Saksham Sahai surname: Srivastava fullname: Srivastava, Saksham Sahai organization: Department of Chemical Engineering, IIT Kharagpur – sequence: 4 givenname: Shubham surname: Shankar fullname: Shankar, Shubham organization: Department of Physics, IIT Kharagpur – sequence: 5 givenname: Rajib surname: Mall fullname: Mall, Rajib organization: Department of CSE, IIT Kharagpur |
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| Keywords | Fisher’s test Fault localization Program analysis Debugging |
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| SubjectTerms | Artificial Intelligence Computer Applications Computer Science Fault location Faults Localization Original Paper Software Engineering |
| Title | FTFL: A Fisher’s test-based approach for fault localization |
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