Integrating Change Point into Software Reliability Growth Model along with Testing – Effort Function

In this paper a software reliability growth model (SRGM) based on non-homogenous Poisson process (NHPP) is proposed. The principal idea is to provide a SRGM which incorporates both exponentiated Weibull (EW) testing-effort function and change point. In the earlier research, it is found that the probability of fault detection is not constant. It can be changed at some point of time which is called a change point. The change can take place due to some important factors like the skill of test teams, program size and software testability. Therefore, we incorporated change point along with EW testing-effort function in the proposed SRGM. We performed the data analysis on real data set. Also, the parameters of the proposed SRGM are estimated through the least square estimation (LSE) and maximum likelihood estimation (MLE). Furthermore, we have drawn the required graphs and curve to evaluate the performance of proposed SRGM. In addition, we compared the proposed SRGM with some other existing SRGMs.