Issue No.12 - December (1985 vol.11)
S. Yamada , Graduate School of Systems Science, Okayama University of Science
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.
software reliability growth models, Error detection rate per error, maximum-likelihood estimation, nonhomogeneous Poisson processes, software error, software reliability analysis
S. Yamada, "Software Reliability Growth Modeling: Models and Applications", IEEE Transactions on Software Engineering, vol.11, no. 12, pp. 1431-1437, December 1985, doi:10.1109/TSE.1985.232179