Bayesian Graphical Models for Software Testing

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

doi:10.1109/tse.2002.1000453

Bayesian Graphical Models for Software Testing

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

Authors

D.A. Wooff

Professor Michael Goldstein michael.goldstein@durham.ac.uk
Professor

Professor Frank Coolen frank.coolen@durham.ac.uk
Professor

Abstract

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

Citation

Wooff, D., Goldstein, M., & Coolen, F. (2002). Bayesian Graphical Models for Software Testing. IEEE Transactions on Software Engineering, 28(5), 510-525. https://doi.org/10.1109/tse.2002.1000453

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
DOI	https://doi.org/10.1109/tse.2002.1000453
Publisher URL	http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/trans/ts/&toc=comp/trans/ts/2002/05/e5toc.xml&DOI=10.1109/TSE.2002.1000453

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