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Reducing the cost of mutation testing: an empirical study

Authors:

W. Eric Wong,

Aditya P. MathurAuthors Info & Claims

Journal of Systems and Software, Volume 31, Issue 3

Pages 185 - 196

https://doi.org/10.1016/0164-1212(94)00098-0

Published: 01 December 1995 Publication History

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Cited By

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Zhao YChen YSun ZLiang QWang GHao DFilkov VRay BZhou M(2024)Spotting Code Mutation for Predictive Mutation TestingProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695491(1133-1145)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691620.3695491
Xiao YYang CWang BXiong Y(2024)Accelerating Patch Validation for Program Repair With Interception-Based Execution SchedulingIEEE Transactions on Software Engineering10.1109/TSE.2024.335996950:3(618-635)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1109/TSE.2024.3359969
Zhang PWang YLiu XLu ZYang YLi YChen LWang ZSun CYu XZhou Y(2023)Assessing Effectiveness of Test Suites: What Do We Know and What Should We Do?ACM Transactions on Software Engineering and Methodology10.1145/363571333:4(1-32)Online publication date: 5-Dec-2023
https://dl.acm.org/doi/10.1145/3635713
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Index Terms

Reducing the cost of mutation testing: an empirical study
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis
        Software testing and debugging

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We defined the term conditionally-overlapped (c-overlapped) mutants.C-overlapped mutants are expected to produce the same results against a test case.Clustering c-overlapped mutants effectively reduces the cost of mutation testing.Clustering c-...
Mutation Testing Cost Reduction Techniques: A Survey

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SBQS '20: Proceedings of the XIX Brazilian Symposium on Software Quality

Mutation testing is a testing criterion used to measure the quality of a test suite. In mutation, a test suite is executed against the set of mutants of a given program under testing. A score is computed to measure the adequacy of the test suite in ...

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Published In

cover image Journal of Systems and Software

Journal of Systems and Software Volume 31, Issue 3

Dec. 1995

90 pages

ISSN:0164-1212

Editor:
Robert L. Glass
Computing Trends, Bloomington, IN

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Elsevier Science Inc.

United States

Publication History

Published: 01 December 1995

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Zhao YChen YSun ZLiang QWang GHao DFilkov VRay BZhou M(2024)Spotting Code Mutation for Predictive Mutation TestingProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695491(1133-1145)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691620.3695491
Xiao YYang CWang BXiong Y(2024)Accelerating Patch Validation for Program Repair With Interception-Based Execution SchedulingIEEE Transactions on Software Engineering10.1109/TSE.2024.335996950:3(618-635)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1109/TSE.2024.3359969
Zhang PWang YLiu XLu ZYang YLi YChen LWang ZSun CYu XZhou Y(2023)Assessing Effectiveness of Test Suites: What Do We Know and What Should We Do?ACM Transactions on Software Engineering and Methodology10.1145/363571333:4(1-32)Online publication date: 5-Dec-2023
https://dl.acm.org/doi/10.1145/3635713
Chen ZSalawa MVijayvergiya MPetrović GIvanković MJust RChandra SBlincoe KTonella P(2023)MuRS: Mutant Ranking and Suppression using Identifier TemplatesProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3611643.3613901(1798-1808)Online publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1145/3611643.3613901
Wang YZhang ZYao YHuang Z(2023)A Fine-Grained Evaluation of Mutation Operators for Deep Learning Systems: A Selective Mutation ApproachProceedings of the 14th Asia-Pacific Symposium on Internetware10.1145/3609437.3609453(123-133)Online publication date: 4-Aug-2023
https://dl.acm.org/doi/10.1145/3609437.3609453
Ojdanić MRoychoudhury ACadar CKim M(2022)Change-aware mutation testing for evolving systemsProceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3540250.3558911(1785-1789)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3540250.3558911
Zhang PWang YLiu XLi YYang YWang ZZhou XChen LZhou Y(2022)Mutant Reduction Evaluation: What is There and What is Missing?ACM Transactions on Software Engineering and Methodology10.1145/352257831:4(1-46)Online publication date: 12-Jul-2022
https://dl.acm.org/doi/10.1145/3522578
Salazar ZNguyen HMallouli WCavalli AMontes de Oca E(2021)5Greplay: a 5G Network Traffic Fuzzer - Application to Attack InjectionProceedings of the 16th International Conference on Availability, Reliability and Security10.1145/3465481.3470079(1-8)Online publication date: 17-Aug-2021
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Petrović GIvanković MFraser GJust R(2021)Does mutation testing improve testing practices?Proceedings of the 43rd International Conference on Software Engineering10.1109/ICSE43902.2021.00087(910-921)Online publication date: 22-May-2021
https://dl.acm.org/doi/10.1109/ICSE43902.2021.00087
Wang BLu SXiong YLiu FGrundy J(2021)Faster mutation analysis with fewer processes and smaller overheadsProceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE51524.2021.9678827(381-393)Online publication date: 15-Nov-2021
https://dl.acm.org/doi/10.1109/ASE51524.2021.9678827
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Mutation testing cost reduction by clustering overlapped mutants

Mutation Testing Cost Reduction Techniques: A Survey

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