Sequential procedure for Software Reliability estimation

Nasir Zarzour and Kamel Rekab

Applied Mathematics and Computation, 2021, vol. 402, issue C

Abstract: We use a sequential method to allocate software test cases among partitions of a software to minimize the expected loss incurred by the Bayes estimator of the overall software reliability. The Bayesian approach allows us to take advantage of the previous information obtained from testing. We will show that the myopic sampling scheme has advantages over the optimal fixed in terms of the expected loss incurred when the overall reliability is estimated by its Bayes estimator. Theoretical results and numerical are provided for the comparison. This myopic scheme shows a great promise in software reliability estimation.

Keywords: Bayesian estimation; Sequential designs; Myopic method; Exponential family; Optimality (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:402:y:2021:i:c:s0096300321001648

DOI: 10.1016/j.amc.2021.126116

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