An NHPP-Based SRGM with Time Dependent Growth Process

Abstract

The mathematical model that is used to forecast how software reliability will improve over time when errors are identified and resolved, known as a “Software Reliability Growth Model” or in short SRGM. These models assist the management in determining how much time and effort should be dedicated to testing. This paper presents a new SRGM that analyzes the failure data with the help of nonhomogeneous Poisson process. The model assumes the linear increment in fault detection rate process. The proposed model is validated on a dataset collected from an industrial project. The comparison results with seven established models in terms of four criteria have been reported.