Software reliability analysis models
IBM Journal of Research and Development
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Handbook of software reliability engineering
Handbook of software reliability engineering
Software Reliability
Applying Reliability Models More Effectively
IEEE Software
Optimal Resource Allocation and Reliability Analysis for Component-Based Software Applications
COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
Analysis of error processes in computer software
Proceedings of the international conference on Reliable software
Software Reliability Analysis Incorporating Fault Detection and Debugging Activities
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Confidence Interval Estimation of NHPP-Based Software Reliability Models
ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
Sensitivity Analysis of Software Reliability for Component-Based Software Applications
COMPSAC '03 Proceedings of the 27th Annual International Conference on Computer Software and Applications
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
Software Reliability Engineering: More Reliable Software Faster and Cheaper
Software Reliability Engineering: More Reliable Software Faster and Cheaper
Performance analysis of software reliability growth models with testing-effort and change-point
Journal of Systems and Software
Anisotropic Laplace trend to enhance software reliability growth modelling
MOAS'07 Proceedings of the 18th conference on Proceedings of the 18th IASTED International Conference: modelling and simulation
Quasi-renewal time-delay fault-removal consideration in software reliability modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Anisotropic Laplace trend to enhance software reliability growth modelling
MS '07 The 18th IASTED International Conference on Modelling and Simulation
The implementation of artificial neural networks applying to software reliability modeling
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
ACM SIGSOFT Software Engineering Notes
Software quality assurance using software reliability growth modelling: state of the art
International Journal of Business Information Systems
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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 and is widely recognized as one of the most significant aspects of software quality. Over the past 30 years, many software reliability growth models (SRGMs) have been proposed and they can greatly help us to estimate some important measures such as the mean time to failure, the number of remaining faults, defect levels, and the failure intensity, etc. Besides, SRGMs can also help to determine person power needed to support the desired reliability requirements. However, from our studies, most of SRGMs only focus on describing the behavior of fault detection process and assume that faults are fixed immediately upon detection. In fact, this assumption may not be realistic. Thus, in this paper, we will propose a general framework for modeling the software fault detection and correction processes. We will also show that the proposed approaches cover a number of well-known SRGMs. Two numerical examples based on two real software failure data sets are presented and discussed in detail.