Software reliability analysis models
IBM Journal of Research and Development
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Handbook of software reliability engineering
Handbook of software reliability engineering
EM algorithm for discrete software reliability models: a unified parameter estimation method
HASE'04 Proceedings of the Eighth IEEE international conference on High assurance systems engineering
Hi-index | 0.98 |
The binomial software reliability growth model (SRGM) contains most existing SRGMs proposed in earlier work as special cases, and can describe every software failure-occurrence pattern in continuous time. In this paper, we propose generalized binomial SRGMs in both continuous and discrete time, based on the idea of cumulative Bernoulli trials. It is shown that the proposed models give some new unusual discrete models as well as the well-known continuous SRGMs. Through numerical examples with actual software failure data, two estimation methods for model parameters with grouped data are provided, and the predictive model performance is examined quantitatively.