Computational intelligence for risk analysis in software testing

Abstract

Software testing is a complex, demanding, and crucial task required in any software development project. Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment to software testing management in software projects. There are a large number of processes involved in software testing. The interdependencies of the processes in software testing make this task a complex and difficult activity for software test managers. The complexity involved makes it difficult for software test managers to comprehend and be fully aware of effect of inefficiencies that may exist in software testing development of these processes in their organization. This paper considers the implementation of a Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in software testing to improve the understanding of software test manager about the software testing and its associated risks. By using a FCMs a test managers can regularly review and improve their software testing and provide greater improvement in development and monitoring in software testing. Software testing managers can perform what-if analysis to better understand vulnerabilities in their software testing management.