论文信息 - Automated Test Case Generation and Its Optimization for Path Testing Using Genetic Algorithm and Sampling

Automated Test Case Generation and Its Optimization for Path Testing Using Genetic Algorithm and Sampling

Software testing is an important activity of the software development process, and automated test case generation contributes to reduce cost and time efforts. In this paper, we have used genetic algorithm to optimize the test cases that are generated using the category-partition and test harness patterns. In order to investigate the effectiveness of the approach, a graph is derived using category-partition and genetic algorithm is used to optimize the test cases to cover the entire possible path. The optimal test suites are devised by the method of sampling statistics.

Debasis Mohapatra | Prachet Bhuyan | Durga P. Mohapatra

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