Optimization of Basis Path Testing using Genetic Tabu Search Algorithm
نویسنده
چکیده
The test cases are generated manually as well as automatically to test software product. Manual test case generation require more time and cost than automatic test case generation. Automated generated test cases decrease the time and cost of testing process. Nowadays software companies are turning towards automated test case generation. After the generation of test cases, there is need to optimize the generated test cases. For their optimization we will apply artificial intelligence techniques. The genetic algorithm is based on the evolutionary ideas of natural selection and genetics. Genetic Algorithm (GA), a heuristic search algorithm is used for optimization. Here, we will integrate tabu search algorithm with genetic algorithm (GTSA) for optimization the result using an analysis of data.
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