Test-Case Minimization Technique for Large Scale Software using Link-Matrix

Abstract

In today’s software development environment, testing commences just after the finalization of systems requirements. Testing process is executed to make the underlying software error free, to enhance and assure the development of reliable and quality software product. This paper explores and analyses some of black-box as well as white-box testing methods according to their key findings, measures and metrics and considerations of testing factors. Further this paper proposes an efficient test case minimization technique. This technique uses Link-Matrix to identify the number of actual parameters used between components. We have used Boundary Value Analysis (BVA) method to compute the count of tests cases for individual modules or components. We have compared the proposed technique with all three cases of Boundary Value Analysis method including normal case, robust case and worst case. Results achieved during comparison shows that this proposed technique is effective to minimize the total count of test-cases especially in case of robust and worst scenarios.