Software reliability analysis models
IBM Journal of Research and Development
Exponential order statistic models of software reliability growth
IEEE Transactions on Software Engineering
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Handbook of software reliability engineering
Handbook of software reliability engineering
A study on the failure intensity of different software faults
ICSE '97 Proceedings of the 19th international conference on Software engineering
Log-Logistic Software Reliability Growth Model
HASE '98 The 3rd IEEE International Symposium on High-Assurance Systems Engineering
Using Statistics of the Extremes for Software Reliability Analysis of Safety Critical Systems
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Discrete Equations and Software Reliability Growth Models
ISSRE '01 Proceedings of the 12th International Symposium on Software Reliability Engineering
Estimating Mixed Software Reliability Models Based on the EM Algorithm
ISESE '02 Proceedings of the 2002 International Symposium on Empirical Software Engineering
An Iterative Scheme for Maximum Likelihood Estimation in Software Reliability Modeling
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
Software Reliability Models: Assumptions, Limitations, and Applicability
IEEE Transactions on Software 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
A Bayesian Inference Tool for NHPP-Based Software Reliability Assessment
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
Wavelet-based approach for estimating software reliability
ISSRE'09 Proceedings of the 20th IEEE international conference on software reliability engineering
Paraprox: pattern-based approximation for data parallel applications
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
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Gompertz curve has been used to estimate the number of residual faults in testing phases of software development, especially by Japanese software development companies. Since the Gompertz curve is a deterministic function, the curve cannot be applied to estimating software reliability which is the probability that software system does not fail in a prefixed time period. In this article, we propose a stochastic model called the Gompertz software reliability model based on non-homogeneous Poisson processes. The proposed model can be derived from the statistical theory of extreme-value, and has a similar asymptotic property to the deterministic Gompertz curve. Also, we develop an EM algorithm to determine the model parameters effectively. In numerical examples with software failure data observed in real software development projects, we evaluate performance of the Gompertz software reliability model in terms of reliability assessment and failure prediction.