Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Handbook of software reliability engineering
Handbook of software reliability engineering
An analysis of factors affecting software reliability
Journal of Systems and Software
Software reliability prediction incorporating information from a similar project
Journal of Systems and Software
Software reliability growth analysis-application of NHPP models and its evaluation
HASE '96 Proceedings of the 1996 High-Assurance Systems Engineering Workshop
Confidence Interval Estimation of NHPP-Based Software Reliability Models
ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
An approach to software reliability prediction based on time series modeling
Journal of Systems and Software
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Goel-Okumoto model is a nonhomogenuous Poisson process software reliability growth model, which is commonly used in software reliability analysis and prediction. But it requires a large number of failure data and its parameters estimation methods are very complicated. This paper transforms Goel-Okumoto model into one-order autoregressive stochastic time series model with independent increment. Numerical simulation examples show the simplicity and effectiveness of the proposed method. Software reliability time series modeling provide new method to solving the problem of software reliability.