Managing the software process
Art of Software Testing
Quantifying Software Validation: When to Stop Testing?
IEEE Software
A Decision-Analytic Stopping Rule for Validation of Commercial Software Systems
IEEE Transactions on Software Engineering
Optimal software release scheduling based on artificial neural networks
Annals of Software Engineering
When to Stop Testing for Large Software Systems with Changing Code
IEEE Transactions on Software Engineering
A DYNAMIC COMPETING RISKS MODEL
Probability in the Engineering and Informational Sciences
A systematic literature review of software quality cost research
Journal of Systems and Software
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A decision-theoretic procedure for determining an optimal time interval for testing software prior to its release is proposed. The approach is based on the principles of decision-making under uncertainty and involves a maximization of expected utility. Two plausible forms for the utility function, one based on costs and the other involving the realized reliability of the software, are described. Using previous results on probabilistic models for software failure, the ensuing optimization problem (which can be addressed using numerical techniques) is outlined for the case of single-state testing. The sensitivity of the results to the various input parameters is discussed, and some directions for future research are outlined.