The DOI matches its Crossref record.
Theories of Program Testing and the Application of Revealing Subdomains
Abstract
The theory of test data selection proposed by Goodenough and Gerhart is examined. In order to extend and refine this theory, the concepts of a revealing test criterion and a revealing subdomain are proposed. These notions are then used to provide a basis for constructing program tests.
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Citations
Cited by
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
Selecting Software Test Data Using Data Flow Information
Rapps, S., & Weyuker, E. J. (1985) · IEEE Transactions on Software Engineering · doi:10.1109/tse.1985.232226 · Cited by 1,075
Self-citationOn testing non-testable programs
Weyuker, E. J. (1982) · The Computer Journal · doi:10.1093/comjnl/25.4.465 · Cited by 606
Self-citationWeak Mutation Testing and Completeness of Test Sets
Howden, W. E. (1982) · IEEE Transactions on Software Engineering · doi:10.1109/tse.1982.235571 · Cited by 477
Validation, Verification, and Testing of Computer Software
Adrion, W. R., Branstad, M. A., & Cherniavsky, J. C. (1982) · ACM Computing Surveys · doi:10.1145/356876.356879 · Cited by 426
Metadata
- Authors
- Weyuker, E. J., & Ostrand, T. J.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 1980-05
- Volume
- SE-6
- Issue
- 3
- Pages
- 236-246
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2117963349
- Cited by
- 223
- References
- 0
- FWCI
- 20.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Theories of Program Testing and the Application of Revealing Subdomains. https://app.cochat.ai/papers/10.1109/tse.1980.234485
- The paper
- Weyuker, E. J., & Ostrand, T. J. (1980). Theories of Program Testing and the Application of Revealing Subdomains. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.1980.234485
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
