The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Investigations of the software testing coupling effect
Open accessAbstract
Fault-based testing strategies test software by focusing on specific, common types of faults. The coupling effect hypothesizes that test data sets that detect simple types of faults are sensitive enough to detect more complex types of faults. This paper describes empirical investigations into the coupling effect over a specific class of software faults. All of the results from this investigation support the validity of the coupling effect. The major conclusion from this investigation is the fact that by explicitly testing for simple faults, we are also implicitly testing for more complicated faults, giving us confidence that fault-based testing is an effective way to test software.
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Citations
Cites
Constraint-based automatic test data generation
DeMilli, R. A., & Offutt, A. J. (1991) · IEEE Transactions on Software Engineering · doi:10.1109/32.92910 · Cited by 804
Self-citation
Cited by
An Analysis and Survey of the Development of Mutation Testing
Jia, Y., & Harman, M. (2011) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2010.62 · Cited by 1,745
Software unit test coverage and adequacy
Zhu, H., Hall, P. A. V., & May, J. H. R. (1997) · ACM Computing Surveys · doi:10.1145/267580.267590 · Cited by 1,247
EvoSuite: automatic test suite generation for object-oriented software
Fraser, G., & Arcuri, A. (2011) · Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering · doi:10.1145/2025113.2025179 · Cited by 1,110
Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria
Andrews, J. H., Briand, L. C., Labiche, Y., & Namin, A. S. (2006) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2006.83 · Cited by 481
Mutation Testing Advances: An Analysis and Survey
(2019) · Advances in Computers · doi:10.1016/bs.adcom.2018.03.015 · Cited by 425
Metadata
- Authors
- Offutt, A. J.
- Venue
- ACM Transactions on Software Engineering and Methodology
- Published
- 1992-01-02
- Volume
- 1
- Issue
- 1
- Pages
- 5-20
- ISSN
- 1049-331X (ISSN-L)
- 1557-7392
- OpenAlex
- W1996596150
- Cited by
- 371
- References
- 1
- FWCI
- 12.41
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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