State of the art: Dynamic symbolic execution for automated test generation
Future Generation Computer Systems
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Software testing is the important means that guarantee software quality and reliability. Improving the automation ability of software testing is very important for ensuring software’s quality and reducing development cost, and improving the automation ability of test cases generation is the key point for the entire process. This paper discusses the methods and techniques of genetic algorithm as the key algorithm to automatically generating the test data, and elaborates some specific problems need to solve in realization process: such as coding, the selection of fitness function and the improvement of hereditary operator, etc.