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This paper discusses genetic algorithms that can automatically generate test cases to test selected path. This algorithm takes a selected path as a target and executes sequences of operators iteratively for test cases to evolve. The evolved test case can lead the program execution to achieve the target path. An automatic path-oriented test data generation is not only a crucial problem but also a hot issue in the research area of software testing today. Software being utilized in various situations and software quality becomes more important than ever.
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