Optimal Release Times for Software Systems with Scheduled Delivery Time Based on the HGDM
IEEE Transactions on Computers
A Software Cost Model with Warranty and Risk Costs
IEEE Transactions on Computers
Software Reliability
Software release policies with gain in reliability justifying the costs
Annals of Software Engineering
A quasi-renewal process for software reliability and testing costs
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Software field failure rate prediction before software deployment
Journal of Systems and Software
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
Warning list identification based on reliability knowledge in warranty claims information system
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
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 systematic literature review of software quality cost research
Journal of Systems and Software
| Hi-index | 14.98 |
Abstract--In this paper, we present a software gain model under random field environment with consideration of not only time to remove faults during in-house testing, cost of removing faults during beta testing, risk cost due to software failure, but also the benefits from reliable executions of the software during the beta testing and field operation. To our knowledge, this is the first study that incorporates the random field environmental factor into the cost model. We also provide an optimal release policy in which the net gain of the software development process is maximized. This gain model can help managers and developers to determine when to stop testing the software and release it to beta testing users and to end-users.