A tool for constrained pairwise test case generation using statistical user profile based prioritization

摘要

Pairwise testing is a wildly used approach in order to reduce the size of test suite and take steps to combinatorial testing problems because of an extensively large number of possible combinations between input parameters and values. In some cases, there will be invalid combinations between input parameters and values if constraints have not been handled. In this paper, we present a pairwise test generation tool called CPTG, a tool to generate test cases for pairwise testing by applying user profile for guiding and prioritizing in order to select optimal input parameters and values which do not depend on individual tester skills and also providing constraint handling solution between input parameters and values. We performed experiments and comparison with other tools. The experimental results of our tool demonstrated that our tool becomes particularly valuable in guiding testing with a maximized reliability by testing the most frequently used of the system and can generate comparable results of the size of the test case set.