使用遗传算法进行软件测试

Akshat Sharma, Rishon Patani, A. Aggarwal
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引用次数: 37

摘要

本文提出了一套利用遗传算法实现软件测试数据自动生成的方法。几年来,研究人员提出了几种生成测试数据的方法,这些方法都有不同的缺点。本文提出了各种基于遗传算法的测试方法,这些方法将具有不同的参数,从而在程序内部结构的基础上自动生成面向结构的测试数据。将发现的因素用于评估遗传算法的适应度函数,以选择最佳的可能测试方法。这些方法将测试人口作为输入,然后评估该程序的测试用例。这种集成将有助于提高遗传算法在搜索空间探索和开发领域的整体性能,并具有更好的收敛速度。
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SOFTWARE TESTING USING GENETIC ALGORITHMS
This paper presents a set of methods that uses a genetic algorithm for automatic test-data generation in software testing. For several years researchers have proposed several methods for generating test data which had different drawbacks. In this paper, we have presented various Genetic Algorithm (GA) based test methods which will be having different parameters to automate the structural-oriented test data generation on the basis of internal program structure. The factors discovered are used in evaluating the fitness function of Genetic algorithm for selecting the best possible Test method. These methods take the test populations as an input and then evaluate the test cases for that program. This integration will help in improving the overall performance of genetic algorithm in search space exploration and exploitation fields with better convergence rate.
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