TESTING RESOURCE ALLOCATION FOR MODULAR SOFTWARE USING GENETIC ALGORITHM

Abstract

Software testing is one of the important steps of SDLC. In software testing one of the important issues is how to allocate the limited resources so that we finish our testing on time and will deliver quality software. Number of Software Reliability Growth Models (SRGM) has been developed for allocating the testing resource in the past three decades but majority of models are developed in static environment. In this paper we developed model in a dynamic environment and also the software is divided into different modules. We also used Pontryagin Maximum principle for solving the model. At last one numerical example is solved for allocating the resource for a given module. For allocating resource optimally we used Genetic Algorithm (GA). GA is used as a powerful tool for solving search & optimization kind of problems.