Software reliability analysis models
IBM Journal of Research and Development
Optimum software release time with a given cost budget
Journal of Systems and Software
Software Reliability and Testing
Software Reliability and Testing
Predicting Software Reliability
Computer
Determining the Cost of a Stop-Test Decision
IEEE Software
A Software Cost Model for Quantifying the Gain with Considerations of Random Field Environments
IEEE Transactions on Computers
A cost analysis of systems subject to random field environments and reliability
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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An important question in the developing process of software products is when to stop testing to make the gain in reliability justify the costs. In this paper, a software reliability‐cost model is presented to determine the optimal release policies that maximize the expected net gain in reliability. Several software cost factors are considered in this study, such as the cost of removing detected errors and the risk cost due to software failure. The error removal cost is modeled based on a stochastic process. A software reliability model based on the non‐homogeneous Poisson process is used. Numerical examples are provided to illustrate the results.