An ABC based approach to test case generation for BPEL processes

One of the important tasks in software testing process is test case generation. The automation of this task reduces the endeavor to generate test suite and contributes to selecting a subset of test cases from the test suite that can be executed in minimum time and optimally meets the test adequacy criteria. In this paper, we put forward a new approach for automating the generation of test cases for BPEL processes. A transition coverage criterion is used as the adequacy criterion. Our approach is based on meta-heuristic approach ABC (Artificial Bee Colony Optimization) which is inspired by the behavior of honey bees. We examine whether our approach outdo existing test optimization approaches in time, number of test cases and the percentage of coverage.