Software reliability analysis models
IBM Journal of Research and Development
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Modeling Correlation in Software Recovery Blocks
IEEE Transactions on Software Engineering - Special issue on software reliability
Handbook of software reliability engineering
Handbook of software reliability engineering
Recommended Practice for Software Reliability
Recommended Practice for Software Reliability
Software Reliability Engineered Testing
Software Reliability Engineered Testing
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
Predicting Fault Detection Effectiveness
METRICS '97 Proceedings of the 4th International Symposium on Software Metrics
Modelling the Fault Correction Process
ISSRE '01 Proceedings of the 12th International Symposium on Software Reliability Engineering
An Integrated Failure Detection and Fault Correction Model
ICSM '02 Proceedings of the International Conference on Software Maintenance (ICSM'02)
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
Web software traffic characteristics and failure prediction model selection
Journal of Computational Methods in Sciences and Engineering
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Software reliability is defined as the probability of failure-free software operation for a specified period of time in a specified environment. Over the past 30 years, many software reliability growth models (SRGMs) have been proposed and most SRGMs assume that detected faults are immediately corrected. Actually, this assumption may not be realistic in practice. In this paper, we first give a review of fault detection and correction processes in software reliability modeling. Furthermore, we will show how several existing SRGMs based on NHPP models can be derived by applying the time-dependent delay function. On the other hand, it is generally observed that mutually independent software faults are on different program paths. Sometimes mutually dependent faults can be removed if and only if the leading faults were removed. Therefore, here we incorporate the ideas of fault dependency and time-dependent delay function into software reliability growth modeling. Some new SRGMs are proposed and several numerical examples are included to illustrate the results. Experimental results show that the proposed framework to incorporate both fault dependency and time-dependent delay function for SRGMs has a fairly accurate prediction capability.