It is known that the trend of the software reliability growth process changes during testing or operation phases in an actual environment due to a change of specification, software upgrading, a change of fault-target, and so forth. This paper discusses an extended two-dimensional software reliability growth modeling, in which the software reliability growth process is assumed to depend on the s...

Software reliability is an important aspect of software quality. And achieving reliability is the need of today’s global competition. Estimation and prediction are the ways to analyze software reliability. Software reliability growth model is used to estimate the reliability through mathematical expression and it also used to interpret software failures as a random process. This paper describes...

Testing-time when a change of a stochastic characteristic of the software failure-occurrence time or software failure-occurrence time-interval is observed is called change-point. It is said that effect of the change-point on the software reliability growth process influences on accuracy for software reliability assessment based on a software reliability growth model (SRGM). We propose an SRGM w...

Software reliability growth model is one of the fundamental techniques to assess software reliability quantitatively. A number of testing-effort functions for modeling software reliability based on the nonhomogeneous Poisson process (NHPP) have been proposed in the past decades. Although these models are quite helpful for the software testing, we still need to put more testing-effort into softw...

oftware Reliability Growth Model is a mathematical model of how the software reliability improves as faults are detected and repaired. The performance of SRGM is judged by its ability to fit the software failure data. How good does a mathematical model fit to the data and reliability of software is presented in the current paper. The model under consideration is the, Gompertz model. MLE method ...