Software Reliability Growth Model (SRGM) with imperfect debugging, fault reduction factor and multiple change-point

Abstract

Reliability engineering plays an important role to improve the software quality. Before delivering the software in the market, it is thoroughly checked and errors are removed. Software reliability growth models help the software industries to develop such software which is error free and reliable. In this paper, a scheme for constructing software reliability growth model (SRGM) based on Non-Homogeneous Poisson Process (NHPP) with Imperfect-debugging, time-variable fault reduction factor (FRF) and multiple change point is proposed. The fault reduction factor (FRF) is one of the key parameters which control the software reliability. The mean value function is established which is further employed to determine the optimal testing time. The maximum likelihood approach has been suggested to estimate the unknown parameters of the proposed model. The numerical illustration has been provided to explore the effect of various parameters on the software reliability and total expected cost. © 2012 Springer India Pvt. Ltd.