Reliability Analysis of a Software with Non Homogeneous Poisson Process (NHPP) Failure Intensity

This paper deals with the reliability prediction of a large and complex software system consisting of a number of modules in which each module has a different failure pattern. A Non-Homogeneous Poisson Process (NHPP) arising from the superposition of power law processes (S-PLPs) is proposed for determining the failure intensity of the software system. A graphical method is illustrated for estimating the model parameters. Finally, the optimal testing time of the software subject to the reliability requirement is computed. Numerical illustrations are also provided to examine the suggested optimal policies.