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Bayesian Graphical Models for Software Testing

Wooff, D.A.; Goldstein, M.; Coolen, F.P.A.

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D.A. Wooff


This paper describes a new approach to the problem of software testing. The approach is based on Bayesian graphical models and presents formal mechanisms for the logical structuring of the software testing problem, the probabilistic and statistical treatment of the uncertainties to be addressed, the test design and analysis process, and the incorporation and implication of test results. Once constructed, the models produced are dynamic representations of the software testing problem. They may be used to drive test design, answer what-if questions, and provide decision support to managers and testers. The models capture the knowledge of the software tester for further use. Experiences of the approach in case studies are briefly discussed


Wooff, D., Goldstein, M., & Coolen, F. (2002). Bayesian Graphical Models for Software Testing. IEEE Transactions on Software Engineering, 28(5), 510-525.

Journal Article Type Article
Publication Date 2002-05
Deposit Date Apr 23, 2007
Publicly Available Date Apr 27, 2009
Journal IEEE Transactions on Software Engineering
Print ISSN 0098-5589
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 28
Issue 5
Pages 510-525
Publisher URL


Published Journal Article (253 Kb)

Copyright Statement
©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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