Patrick, Matthew Timothy, Alexander, Rob orcid.org/0000-0003-3818-0310, Oriol, Manuel Yves Antoine et al. (1 more author) (2013) Using Mutation Analysis to Evolve Subdomains for Random Testing. In: Mutation 2013: 8th International Workshop on Mutation Analysis, 18 Mar 2013.
Abstract
Random testing is inexpensive, but it can also be inefficient. We apply mutation analysis to evolve efficient subdomains for the input parameters of eight benchmark programs that are frequently used in testing research. The evolved subdomains can be used for program analysis and regression testing. Test suites generated from the optimised subdomains outperform those generated from random subdomains with 10, 100 and 1000 test cases for uniform, Gaussian and exponential sampling. Our subdomains kill a large proportion of mutants for most of the programs we tested with just 10 test cases.
Metadata
Item Type: | Conference or Workshop Item |
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Authors/Creators: |
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Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Funding Information: | Funder Grant number EPSRC EP/G043604/1 |
Depositing User: | Pure (York) |
Date Deposited: | 24 Jun 2016 15:11 |
Last Modified: | 25 Jan 2025 00:13 |
Published Version: | https://doi.org/10.1109/ICSTW.2013.14 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/ICSTW.2013.14 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81416 |