A Software Cost Model for Quantifying the Gain with Considerations of Random Field Environments
IEEE Transactions on Computers
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
A cost analysis of systems subject to random field environments and reliability
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Estimation of reliability and cost relationship for architecture-based software
International Journal of Automation and Computing
Warranty cost analyses using quasi-renewal processes for multicomponent systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Altered quasi-renewal concepts for modeling renewable warranty costs with imperfect repairs
Mathematical and Computer Modelling: An International Journal
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This paper models software reliability and testing costs using a new tool: a quasi-renewal process. It is assumed that the cost of fixing a fault during software testing phase, consists of both deterministic and incremental random parts, increases as the number of faults removed increases. Several software reliability and cost models by means of quasi-renewal processes are derived in which successive error-free times are independent and increasing by a fraction. The maximum likelihood estimates of parameters associated with these models are provided. Based on the valuable properties of quasi-renewal processes, the expected software testing and debugging cost, number of remaining faults in the software, and mean error-free time after testing are obtained. A class of related optimization problem is then contemplated and optimum testing policies incorporating both reliability and cost measures are investigated. Finally, numerical examples are presented through a set of real testing data to illustrate the models results