A Sequential Bayesian Generalization of the Jelinski–Moranda Software Reliability Model
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Authors
Washburn, Alan
Subjects
reliability
software
Bayes
sequential
software
Bayes
sequential
Advisors
Date of Issue
2006-03-09
Date
Publisher
Language
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).
Type
Article
Description
The article of record as published may be located at http://dx.doi.org/10.1002/nav.20148
Includes supplemental material: Excel spreadsheet
Includes supplemental material: Excel spreadsheet
Series/Report No
Department
Operations Research
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
2006 Wiley InterScience
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.