Optimal release time determination for multi upgradation SRGM with faults of different severity using genetic algorithm

As the competition among the software companies is increasing, firms have become more demand driven. Advancements in technology and up gradations have become important force in software markets today. By adding new features company aims to improve the quality of the software in terms of performance and functionality. But these new features cause an increase in the fault content and hence the complexity of the software. Therefore the testing team needs to keep track of these faults along with the faults that have been left from the previous release. In the proposed model we have developed a multi up gradation software reliability model upon classifying the faults into three different types depending on the effort and time consumed for their removal: simple, hard and complex faults. In this paper optimization equation for cost model is described to determine the optimal release time in multi up-gradation of software, here we have also taken into account the undetected faults from the previous release. We have used Genetic algorithm approach for optimization. The validation of the proposed model was done on real life data set for four releases of software.