The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Testability transformation
Open accessAbstract
A testability transformation is a source-to-source transformation that aims to improve the ability of a given test generation method to generate test data for the original program. We introduce testability transformation, demonstrating that it differs from traditional transformation, both theoretically and practically, while still allowing many traditional transformation rules to be applied. We illustrate the theory of testability transformation with an example application to evolutionary testing. An algorithm for flag removal is defined and results are presented from an empirical study which show how the algorithm improves both the performance of evolutionary test data generation and the adequacy level of the test data so-generated.
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Cites
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An Introduction to Genetic Algorithms
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Nijhout, F. (1997) · Complexity · doi:10.1002/(sici)1099-0526(199705/06)2:5<39::aid-cplx8>3.0.co;2-l · Cited by 1,720
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Search-based software engineering
Harman, M., & Jones, B. F. (2001) · Information and Software Technology · doi:10.1016/s0950-5849(01)00189-6 · Cited by 914
Self-citationTest-data generation using genetic algorithms
Pargas, R. P., Harrold, M. J., & Peck, R. R. (1999) · Software Testing, Verification and Reliability · doi:10.1002/(sici)1099-1689(199912)9:4<263::aid-stvr190>3.0.co;2-y · Cited by 582
Evolutionary test environment for automatic structural testing
Wegener, J., Baresel, A., & Sthamer, H. (2001) · Information and Software Technology · doi:10.1016/s0950-5849(01)00190-2 · Cited by 519
Self-citationGenerating software test data by evolution
Michael, C. C., McGraw, G., & Schatz, M. A. (2001) · IEEE Transactions on Software Engineering · doi:10.1109/32.988709 · Cited by 478
Cited by
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
The Current State and Future of Search Based Software Engineering
Harman, M. (2007) · Future of Software Engineering (FOSE '07) · doi:10.1109/fose.2007.29 · Cited by 631
Self-citationFraser, G., & Arcuri, A. (2013) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2012.14 · Cited by 586
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search
Harman, M., & McMinn, P. (2010) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2009.71 · Cited by 400
Self-citationUsing formal specifications to support testing
Hierons, R. M., Bogdanov, K., Bowen, J. P., Cleaveland, R., Derrick, J., Dick, J., Gheorghe, M., Harman, M., Kapoor, K., Krause, P., et al. (2009) · ACM Computing Surveys · doi:10.1145/1459352.1459354 · Cited by 356
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Metadata
- Authors
- Harman, M., Hu, L., Hierons, R., Wegener, J., Sthamer, H., Baresel, A., & Roper, M.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 2004-01
- Volume
- 30
- Issue
- 1
- Pages
- 3-16
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2293616642
- Cited by
- 265
- References
- 16
- FWCI
- 47.87
- Type
- journal article
- Language
- en
- Open access
- green
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- Harman, M., Hu, L., Hierons, R., Wegener, J., Sthamer, H., Baresel, A., & Roper, M. (2004). Testability transformation. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.2004.1265732
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.