Assessing the validity of one-part software reliability models using likelihood ratio and early detection tests

Authors:
Daniel R. Jeske;Qi Zhang
Affiliations:
Department of Statistics, University of California, Riverside, CA 92521, USA;Department of Statistics, University of California, Riverside, CA 92521, USA
Venue:
Journal of Systems and Software
Year:
2007

Citing 2
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Quantitative Software Reliability Modeling from Testing to Operation

ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
Some successful approaches to software reliability modeling in industry

Journal of Systems and Software - Special issue: Automated component-based software engineering

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Abstract

To achieve higher accuracy in software failure rate estimates in a field environment, software reliability models that were fit from failure data collected during the test interval are often refit using the combined test interval and field interval data. The validity of this analysis depends on the test and field environments being compatible with respect to the manner in which the software is used. In this paper, we formulate the hypothesis of compatible test and field environments in terms of a statistical hypothesis and develop an appropriate test procedure. The test procedure is illustrated by applying it to a real-life software project.