Bayesian optimum stopping rule for software release

Article Type

Research Article

Publication Title

OPSEARCH

Abstract

This Paper proposes a Bayesian approach to find out the optimum stopping rule of software testing. We consider a discrete periodic debugging framework so that software can be released for market once the criteria are fulfilled. Simplification of stopping rules were obtained by using some specific prior distributions of the number of remaining bugs. We also develop necessary and sufficient conditions for stopping the software testing. Some illustrative examples are presented.

First Page

242

Last Page

260

DOI

10.1007/s12597-018-00353-0

Publication Date

3-4-2019

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