Software reliability analysis models
IBM Journal of Research and Development
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
ICSE '91 Proceedings of the 13th international conference on Software engineering
A logarithmic poisson execution time model for software reliability measurement
ICSE '84 Proceedings of the 7th international conference on Software engineering
A Software Cost Model with Warranty and Risk Costs
IEEE Transactions on Computers
Optimal software release scheduling based on artificial neural networks
Annals of Software Engineering
A time/structure based software reliability model
Annals of Software Engineering
ISSRE '96 Proceedings of the The Seventh 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
Heuristic Self-Organization Algorithms for Software Reliability Assessment and Their Applications
ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
A Software Cost Model for Quantifying the Gain with Considerations of Random Field Environments
IEEE Transactions on Computers
Optimal Software Development: A Control Theoretic Approach
Information Systems Research
System Test Planning of Software: An Optimization Approach
IEEE Transactions on Software Engineering
A cost analysis of systems subject to random field environments and reliability
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A study on software reliability prediction models using soft computing techniques
International Journal of Information and Communication Technology
Hi-index | 14.99 |
The Hyper-Geometric Distribution software reliability growth Model (HGDM) was developed to estimate the number of remaining software faults after completing the test/debug phase. An important problem in the software development process is to determine when to stop testing and release the software to the users. In this paper, the cost optimal release policy, which minimizes the total expected software cost, is discussed. The total expected software cost here includes the penalty cost, which should be paid by the manufacturer if the software is delivered after the scheduled delivery time. The underlying software reliability growth model in our approach is the HGDM. Numerical examples are presented for illustration.