MutantBench: An equivalent mutant problem comparison framework

Authors
Publication date 2021
Book title 2021 IEEE 14th International Conference on Software Testing, Verification and Validation Workshops
Book subtitle ICSTW : proceedings : 12-16 April 2021, virtual event
ISBN
  • 9781665444576
ISBN (electronic)
  • 9781665444569
Event 14th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2021
Pages (from-to) 7-12
Number of pages 6
Publisher Los Alamitos, California: IEEE Computer Society
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

The Equivalent Mutant Problem is an ongoing research problem that led to the creation of multiple reusable non-standardized mutant datasets. However, cross-study evaluation is still tedious. To tackle this problem, we propose MutantBench, a novel open-source comparison framework that is designed with a focus on the FAIR data principles and adoptability by the community. With this, tools within the Equivalent Mutant Problem can be empirically evaluated using the same dataset which then allows for improved cross-study evaluation. We also combine existing datasets resulting in a mutant dataset containing 4400 mutants with 1416 equivalent mutants. This increases the previously largest mutant dataset by more than a thousand equivalent mutants.

Document type Conference contribution
Language English
Published at https://doi.org/10.1109/ICSTW52544.2021.00015
Other links https://www.proceedings.com/59241.html https://github.com/MutantBench/MutantBench https://www.scopus.com/pages/publications/85108024665
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