On optimality of one‐bug‐look‐ahead policies for a software testing model |
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| Authors: | Xiaoyue Jiang Donglei Du Thomas G Ray |
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| Institution: | 1. College of Engineering, Louisiana State University, Baton Rouge, Louisiana 70803College of Engineering, Louisiana State University, Baton Rouge, Louisiana 70803;2. Faculty of Administration, University of New Brunswick, P.O. Box 4400, Fredericton, New Brunswick E3B 5A3, Canada;3. College of Engineering, Louisiana State University, Baton Rouge, Louisiana 70803 |
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| Abstract: | The optimality of the One‐Bug‐Look‐Ahead (OLA) software release policy proposed by Morali and Soyer ( 15 ) is re‐examined in this paper. A counterexample is constructed to show that OLA is not optimal in general. The optimal stopping approach is then called upon to prove that OLA possesses weaker sense of optimality under conditional monotonicity and the strong sense of optimality holds under a more restrictive sample‐wise monotonicity condition. The NTDS data are analyzed for illustration, and OLA is shown to be robust with respect to model parameters. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007. |
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| Keywords: | Bayesian inference optimal stopping martingale software reliability |
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