DocumentCode
1237317
Title
Software Reliability Growth Modeling: Models and Applications
Author
Yamada, Shigeru ; Osaki, Shunji
Author_Institution
Graduate School of Systems Science, Okayama University of Science
Issue
12
fYear
1985
Firstpage
1431
Lastpage
1437
Abstract
This paper summarizes existing software reliability growth models (SRGM´s) described by nonhomogeneous Poisson processes. The SRGM´s are classified in terms of the software reliability growth index of the error detection rate per error. The maximum-likelihood estimations based on the SRGM´s are discussed for software reliability data analysis and software reliability evaluation. Using actual software error data observed by software testing, application examples of the existing SRGM´s are illustrated.
Keywords
Error detection rate per error; maximum-likelihood estimation; nonhomogeneous Poisson processes; software error; software reliability analysis; software reliability growth models; Application software; Computer errors; Data analysis; Error correction; Maximum likelihood estimation; Programming; Software measurement; Software reliability; Software systems; Software testing; Error detection rate per error; maximum-likelihood estimation; nonhomogeneous Poisson processes; software error; software reliability analysis; software reliability growth models;
fLanguage
English
Journal_Title
Software Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0098-5589
Type
jour
DOI
10.1109/TSE.1985.232179
Filename
1701965
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