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Test data automatic generation is the most significant processing section in the software test. GA(Genetic algorithm) has been widely used for automatic generation to reduce the number of grade and improve the test efficiency. Currently it's inefficient and hardly applied to practice that most of the GAs only solve single-path or consider path coverage ratio as criteria. In this paper, we compared different execute path's similarity with both path coverage and branch coverage, redesigned the fitness function and the operating operator to improve the ability of the GA's coverage and research, proposed an improved GA to raise the ratio of path coverage. Experimental results show that our proposed GA has a good efficiency.
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INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMMUNICATION ENGINEERING (CSCE 2015)
Year: 2015
Page: 939-946
Language: English
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 0