Title :
Software Reliability Growth Modeling: Models and Applications
Author :
Yamada, Shigeru ; Osaki, Shunji
Author_Institution :
Graduate School of Systems Science, Okayama University of Science
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;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.1985.232179
