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Cited by 789

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Software fault interactions and implications for software testing

Kuhn, D.R., Wallace, D.R., Gallo, A.M.·2004·IEEE Transactions on Software Engineering
DOI 10.1109/tse.2004.24
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Abstract

Exhaustive testing of computer software is intractable, but empirical studies of software failures suggest that testing can in some cases be effectively exhaustive. We show that software failures in a variety of domains were caused by combinations of relatively few conditions. These results have important implications for testing. If all faults in a system can be triggered by a combination of n or fewer parameters, then testing all n-tuples of parameters is effectively equivalent to exhaustive testing, if software behavior is not dependent on complex event sequences and variables have a small set of discrete values.

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Metadata

Authors
Kuhn, D. R., Wallace, D. R., & Gallo, A. M.
Venue
IEEE Transactions on Software Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2004-06
Volume
30
Issue
6
Pages
418-421
ISSN
0098-5589 (ISSN-L)
DOI
10.1109/tse.2004.24
OpenAlex
W2128204165
Cited by
789
References
0
FWCI
42.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Software fault interactions and implications for software testing. https://app.cochat.ai/papers/10.1109/tse.2004.24
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Kuhn, D. R., Wallace, D. R., & Gallo, A. M. (2004). Software fault interactions and implications for software testing. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.2004.24

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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.