Abstract
Extended finite state machine (EFSM) is among the most popular models for model-based testing. However, automated test case generation on EFSM models is still a challenging task since an EFSM model may contains infeasible paths. This paper proposed a novel approach (ATGEM) to generate test case and construct oracle information from EFSM automatically. To address the infeasible problem, a metric based on data flow analysis is presented to predict the infeasible probability so as to bypass the infeasible paths as far as possible and improve the test case generation efficiency. Afterwards, an executable EFSM model is developed to obtain runtime feedback information as a fitness function in order to generate test data and construct oracle information automatically. This approach, which can generate various types data and has a wide range of applications, combines static analysis and dynamic analysis aims to find a preferable feasible path subset to generate test cases and meet adequacy coverage criteria. The experimental results on several EFSM models show that test case generation method and path feasibility metric have good effectiveness. Utilizing path feasibility metric can speed up the process of test case generation greatly, and ATGEM is more efficient than existing method.
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