The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Markov chain model for statistical software testing
Abstract
Statistical testing of software establishes a basis for statistical inference about a software system's expected field quality. This paper describes a method for statistical testing based on a Markov chain model of software usage. The significance of the Markov chain is twofold. First, it allows test input sequences to be generated from multiple probability distributions, making it more general than many existing techniques. Analytical results associated with Markov chains facilitate informative analysis of the sequences before they are generated, indicating how the test is likely to unfold. Second, the test input sequences generated from the chain and applied to the software are themselves a stochastic model and are used to create a second Markov chain to encapsulate the history of the test, including any observed failure information. The influence of the failures is assessed through analytical computations on this chain. We also derive a stopping criterion for the testing process based on a comparison of the sequence generating properties of the two chains.>
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Parzen, E. (1999) · doi:10.1137/1.9781611971125 · Cited by 1,389
Cited by
Guided, stochastic model-based GUI testing of Android apps
Su, T., Meng, G., Chen, Y., Wu, K., Yang, W., Yao, Y., Pu, G., Liu, Y., & Su, Z. (2017) · Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering · doi:10.1145/3106237.3106298 · Cited by 371
Metadata
- Authors
- Whittaker, J. A., & Thomason, M. G.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 1994
- Volume
- 20
- Issue
- 10
- Pages
- 812-824
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2144956041
- Cited by
- 413
- References
- 2
- FWCI
- 15.06
- Type
- journal article
- Language
- en
- Open access
- closed
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- Whittaker, J. A., & Thomason, M. G. (1994). A Markov chain model for statistical software testing. IEEE Transactions on Software Engineering. https://doi.org/10.1109/32.328991
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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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