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《Computer Engineering》 2006-14
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Research on Software Intelligent Test Data Generation

FU Bo (Dept.of System Engineering of Engineering Technology,Beijing University of Aeronautics and Astronautics,Beijing 100083)  
The automatic software test data generation is one of the elementary problems in software testing.The problem of test data generation is reduced to a search or combinatorial optimization problem with discontinuity and nonlinearity.Therefore,it can be suitably resolved by using AI techniques such as neural networks and genetic algorithms.This paper summarizes and analyzes the application research of AI techniques on automatic test data generation.Future research directions and some of the researching problems are also addressed.
【CateGory Index】: TP311.52
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【Co-references】
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