MODELING AND ANALYSIS OF FAULT DETECTION AND CORRECTION PROCESS FOR MULTI RELEASE SOFTWARE SYSTEM

Abstract

With ever changing market demands, software organizations in today’s scenario have to improve regularly by coming up with new functionality and gain over their rival counterpart. For software developers, fault detection and fault correction are important activities making the software qualitative. In the present framework, we have used convolution theory for analysis of fault detection and correction processes. Different types of distributions have been inculcated in the modeling. The proposed reliability growth models for software are validated on real life software data set. Further, we have also discussed normalized criteria distance method, to rank and choose superlative release from between four releases based on a set of criteria.