A sequential Bayesian generalization of the Jelinski–Moranda software reliability model

Alan Washburn

Naval Research Logistics (NRL), 2006, vol. 53, issue 4, 354-362

Abstract: The Jelinski–Moranda model of software reliability is generalized by introducing a negative‐binomial prior distribution for the number of faults remaining, together with a Gamma distribution for the rate at which each fault is exposed. This model is well suited to sequential use, where a sequence of reliability forecasts is made in the process of testing or using the software. We also investigate replacing the Gamma distribution with a worst‐case assumption about failure rates (the worst‐case failure rate in models such as this is not infinite, since faults with large failure rates are immediately discovered and removed). © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006

Date: 2006
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https://doi.org/10.1002/nav.20148

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Persistent link: https://EconPapers.repec.org/RePEc:wly:navres:v:53:y:2006:i:4:p:354-362

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