A Novel Approach to Automatic Test Case Generation for Web Applications

As the quantity and breadth of Web-based software systems continue to grow rapidly, it is becoming critical to assure the quality and reliability of a Web application. Web application testing is a challenging work owing to its dynamic behaviors and complex dependencies. Test case generation, in general, is costly and labor-intensive processes. How to automatically generate effective test case is important for Web applications testing. In this paper, we propose the two-phase approach to generate test cases automatically by analyzing structure of the Web application. We define the dependence relationships, data dependence and control dependence, in the Web application and detect the relationships from source code and improve the way of test case generation with analysis result. The experimental result show that our approach can reduce test case set in test case generation processes.