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Toward a theory of test data selection

Goodenough, John B., Gerhart, Susan L.·1975·ACM SIGPLAN Notices

Abstract

This paper examines the theoretical and practical role of testing in software development. We prove a fundamental theorem showing that properly structured tests are capable of demonstrating the absence of errors in a program. The theorem's proof hinges on our definition of test reliability and validity, but its practical utility hinges on being able to show when a test is actually reliable. We explain what makes tests unreliable (for example, we show by example why testing all program statements, predicates, or paths is not usually sufficient to insure test reliability), and we outline a possible approach to developing reliable tests. We also show how the analysis required to define reliable tests can help in checking a program's design and specifications as well as in preventing and detecting implementation errors.

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Metadata

Authors
Goodenough, J. B., & Gerhart, S. L.
Venue
ACM SIGPLAN Notices
Published
1975-04
Volume
10
Issue
6
Pages
493-510
ISSN
  • 0362-1340 (ISSN-L)
  • 1558-1160
OpenAlex
W2132840411
Cited by
514
References
0
FWCI
32.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Toward a theory of test data selection. https://app.cochat.ai/papers/10.1145/390016.808473
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Goodenough, J. B., & Gerhart, S. L. (1975). Toward a theory of test data selection. ACM SIGPLAN Notices. https://doi.org/10.1145/390016.808473

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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.