Software engineering: a practitioner's approach (2nd ed.)
Software engineering: a practitioner's approach (2nd ed.)
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
Automatic software test generation
Information and Software Technology
IEEE Transactions on Software Engineering
Dynamic impact analysis: analyzing error propagation in program executions
Dynamic impact analysis: analyzing error propagation in program executions
A Model for Software Development Effort and Cost Estimation
IEEE Transactions on Software Engineering
Predicting Software Reliability
Computer
Applying Reliability Models More Effectively
IEEE Software
A Unified Scheme of Some Nonhomogenous Poisson Process Models for Software Reliability Estimation
IEEE Transactions on Software Engineering
Optimal Software Release Policy Based on Cost and Reliability with Testing Efficiency
COMPSAC '99 23rd International Computer Software and Applications Conference
Analyzing medium-scale software development
ICSE '78 Proceedings of the 3rd international conference on Software engineering
A stochastic software reliability model with imperfect-debugging and change-point
Journal of Systems and Software
Assessing Staffing Needs for a Software Maintenance Project through Queuing Simulation
IEEE Transactions on Software Engineering
Some successful approaches to software reliability modeling in industry
Journal of Systems and Software - Special issue: Automated component-based software engineering
Performance analysis of software reliability growth models with testing-effort and change-point
Journal of Systems and Software
Bayesian network based software reliability prediction with an operational profile
Journal of Systems and Software
On-line prediction of software reliability using an evolutionary connectionist model
Journal of Systems and Software
ISSRE '05 Proceedings of the 16th IEEE International Symposium on Software Reliability Engineering
APSEC '05 Proceedings of the 12th Asia-Pacific Software Engineering Conference
Software field failure rate prediction before software deployment
Journal of Systems and Software
Software reliability forecasting by support vector machines with simulated annealing algorithms
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
Journal of Systems and Software - Special issue: Quality software
Software Reliability Engineering: A Roadmap
FOSE '07 2007 Future of Software Engineering
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
IEEE Transactions on Software Engineering
Optimal Release Time of Computer Software
IEEE Transactions on Software Engineering
An Alternative to the Rayleigh Curve Model for Software Development Effort
IEEE Transactions on Software Engineering
Optimum release time for software systems based on reliability and cost criteria
Journal of Systems and Software
A systematic literature review of software quality cost research
Journal of Systems and Software
Reliability analysis and optimal version-updating for open source software
Information and Software Technology
Reducing test effort: A systematic mapping study on existing approaches
Information and Software Technology
Modeling optimal release policy under fuzzy paradigm in imperfect debugging environment
Information and Software Technology
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Software testing is necessary to accomplish highly reliable software systems. If the project manager can conduct well-planned testing activities, the consumption of related testing-resources will be cost-effective. Over the past 30 years, many software reliability growth models (SRGMs) have been proposed to estimate the reliability growth of software, and they are mostly applicable to the late stages of testing in software development. Thus far, it appears that most SRGMs do not take possible changes of testing-effort consumption rates into consideration. However, in some cases, the policies of testing-resource allocation could be changed or adjusted. Thus, in this paper, we will incorporate the important concept of multiple change-points into Weibull-type testing-effort functions. The applicability and performance of the proposed models are demonstrated through two real data sets. Experimental results show that the proposed models give a fairly accurate prediction capability. Finally, based on the proposed SRGM, constructive rules are developed for determining optimal software release times.