Data dependence based testability transformation in automated test generation

摘要: Source-code based test data generation is a process of finding program input on which selected element, e.g., target statement, executed. There exist many methods that automatically find solution to the problem. The existing work well for programs. However, they may fail or are inefficient programs with complex logic and intricate relationships between elements. In this paper we present testability transformation transforms so chances increased when using only original program. our approach dependence analysis used identify statements in affect computation fitness function associated statement. transformed contains these statements, it explore different ways be computed. These explorations inexpensive as compared As result, executions lead evaluation value identified. identified then guide search an statement paper, evaluated case study demonstrates potential improve efficacy