Software reliability analysis models
IBM Journal of Research and Development
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Does imperfect debugging affect software reliability growth?
ICSE '89 Proceedings of the 11th international conference on Software engineering
Handbook of software reliability engineering
Handbook of software reliability engineering
Software Reliability Engineered Testing
Software Reliability Engineered Testing
Applying Reliability Models More Effectively
IEEE Software
Analysis of a Software Reliability Growth Model with Logistic Testing-Effort Function
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Pragmatic Study of Parametric Decomposition Models for Estimating Software Reliability Growth
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Software Reliability Modeling and Cost Estimation Incorporating Testing-Effort and Efficiency
ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
Controlling Software Projects: Management, Measurement, and Estimates
Controlling Software Projects: Management, Measurement, and Estimates
Software Reliability Models: Assumptions, Limitations, and Applicability
IEEE Transactions on Software Engineering
IBM Systems Journal
A Unified Scheme of Some Nonhomogenous Poisson Process Models for Software Reliability Estimation
IEEE Transactions on Software Engineering
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In this paper, we first show that the logistic testing effort function is practically acceptable/helpful for modeling software reliability growth and providing a reasonable description of resource consumption. Therefore, in addition to the exponential-shaped models, we will integrate the logistic testing-effort function into S-shaped model for further analysis. The model is designated as the Yamada Delayed S-shaped model. A realistic failure data set is used in the experiments to demonstrate the estimation procedures and results. Furthermore, the analysis of the proposed model under imperfect debugging environment is investigated. In fact, from these experimental results and discussions, it is apparent that the logistic testing-effort function is well suitable for making estimations of resource consumption during the software development/testing phase.