A New Software Reliability Growth Model: Genetic-Programming-Based Approach

Abstract

A variety of Software Reliability Growth Models (SRGM)have been presented in literature. These models suffermany problems when handling various types of project.The reason is; the nature of each project makes itdifficult to build a model which can generalise. Inthis paper we propose the use of Genetic Programming(GP) as an evolutionary computation approach to handlethe software reliability modelling problem. GP dealswith one of the key issues in computer science which iscalled automatic programming. The goal of automaticprogramming is to create, in an automated way, acomputer program that enables a computer to solveproblems. GP will be used to build a SRGM which canpredict accumulated faults during the software testingprocess. We evaluate the GP developed model and compareits performance with other common growth models fromthe literature. Our experiments results show that theproposed GP model is superior compared to YamadaS-Shaped, Generalised Poisson, NHPP and Schneidewindreliability models.