SRGM Analyzers Tool of SDLC for Software Improving Quality

Software Reliability Growth Models (SRGM) have been developed to estimate software reliability measures such as\ud software failure rate, number of remaining faults and software reliability. In this paper, the software analyzers tool proposed\ud for deriving several software reliability growth models based on Enhanced Non-homogeneous Poisson Process (ENHPP) in\ud the presence of imperfect debugging and error generation. The proposed models are initially formulated for the case when\ud there is no differentiation between failure observation and fault removal testing processes and then this extended for the case\ud when there is a clear differentiation between failure observation and fault removal testing processes. Many Software\ud Reliability Growth Models (SRGM) have been developed to describe software failures as a random process and can be used\ud to measure the development status during testing. With SRGM software consultants can easily measure (or evaluate) the\ud software reliability (or quality) and plot software reliability growth charts