Optimization of Automatic Generated Test Cases for Path Testing Using Genetic Algorithm

Rijwan Khan, Mohd Amjad, Akhilesh Kumar Srivastava
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引用次数: 18

Abstract

Software testing is a process for insuring the delivery of an error free software to customers. The success or failure of the software to achieve its desirability is depend on the software testing components. All the software industries spend a lot of their money and time for software testing process. Automatic testing is a key area where cost and time of software testing process has been considerably reduced as compared to manual testing. Path testing is a process of finding all du-path coverage for a given program. In this paper genetic algorithm is used for automatic test cases generation and optimization. The proposed method with genetic algorithm accepts a set of inputs and check of for path coverage.
基于遗传算法的路径测试自动生成测试用例优化
软件测试是一个确保向客户交付无错误软件的过程。软件实现其期望的成功或失败取决于软件测试组件。所有的软件行业都在软件测试过程中花费了大量的金钱和时间。与手动测试相比,自动测试是软件测试过程的成本和时间大大减少的关键领域。路径测试是为给定程序找到所有双路径覆盖的过程。本文采用遗传算法自动生成和优化测试用例。该方法采用遗传算法,接受一组输入并进行路径覆盖检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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