Software Reliability and Quality Analyser with Quality Metric Analysis Along With Software Reliability Growth Model

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 a novel software reliability growth model based on non homogeneous Poisson process with allowing for imperfect debugging. Maintaining and improving quality of the software is a very difficult task due to many factors like ambiguous requirement specification, lack of required resources etc. Many reliability growth models have been proposed until now according to different context and hence there is no globally accepted model. Software quality metric highlights the quality aspects of product, process, and project. As there is proportional relationship between quality and reliability, analyzing quality metrics is also a way to estimate reliability. So, we analyze quality metrics along with maintaining the defect database. Keywords— software reliability growth model (SRGM), quality metrics, non-homogeneous Poisson process, software reliability.