A Decision-Tree Based Approach for Mutation Testing

Reena, Jyotiprakash Choudhary
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Abstract

Mutation Testing is one of the most supportive black-box testing approaches that performs the operator based analysis over the program statements to analyze the impact of work. In this work, a decision tree based work is defined to generate the possible mutation for a java program. The decision tree is here defined to reduce the test cases so that the efficiency over the operator check will be obtained. The work is here defined for both the traditional as well as class operators. The obtained results from the system shows the effective generation of test cases.
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基于决策树的突变检测方法
突变测试是最具支持性的黑盒测试方法之一,它对程序语句执行基于操作符的分析,以分析工作的影响。在这项工作中,定义了一个基于决策树的工作来为java程序生成可能的突变。这里定义了决策树来减少测试用例,以便获得操作员检查的效率。这里为传统操作符和类操作符定义了工作。测试结果表明,该系统能够有效地生成测试用例。
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