Software reliability analysis models
IBM Journal of Research and Development
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
A software reliability growth model for an error-removal phenomenon
Software Engineering Journal
Handbook of software reliability engineering
Handbook of software reliability engineering
Predicting Software Reliability
Computer
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
IEEE Transactions on Software Engineering
An Alternative to the Rayleigh Curve Model for Software Development Effort
IEEE Transactions on Software Engineering
Software Reliability Growth Modeling: Models and Applications
IEEE Transactions on Software Engineering
IBM Systems Journal
Effort-Index-Based Software Reliability Growth Models and Performance Assessment
COMPSAC '00 24th International Computer Software and Applications Conference
Software Reliability Modeling and Cost Estimation Incorporating Testing-Effort and Efficiency
ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
Software field failure rate prediction before software deployment
Journal of Systems and Software
Analysis of a software reliability growth models: the case of log-logistic test-effort function
MS'06 Proceedings of the 17th IASTED international conference on Modelling and simulation
Considering environmental function in reliability growth modeling from testing to operation
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
A general software reliability growth model with testing effort dependent learning process
International Journal of Modelling and Simulation
Modeling optimal release policy under fuzzy paradigm in imperfect debugging environment
Information and Software Technology
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In this paper, we investigate a Software Reliability Growth Model (SRGM) based on the Non Homogeneous Poisson Process (NHPP) which incorporates a logistic testing-effort function. Software reliability growth models proposed in the literature incorporate the amount of testing-effort spent on software testing which can be described by an Exponential curve, a Rayleigh curve, or a Weibull curve. However, it may not be reasonable to represent the consumption curve for testing- effort only by an Exponential, a Rayleigh or a Weibull curve in various software development environments. Therefore, we will show that a logistic testing-effort function can be expressed as a software development/test effort curve and give a reasonable predictive capability for the real failure data. Parameters are estimated and experiments on three actual test/debug data sets are illustrated. The results show that the software reliability growth model with logistic testing-effort function can estimate the number of initial faults better than the model with Weibull-type consumption curve. In addition, the optimal release policy of this model based on cost- reliability criterion is discussed.