A method for test case generation by improved genetic algorithm based on static structure of procedure

Wen Jing, Zhang Yikun, Zhao Ming, Chen Hao, Hei Xin-hong, Jianxiong Shen
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引用次数: 2

Abstract

Software testing is an important method to guarantee software quality. For the large-scale complex software, some mistakes or errors will easily be overlooked if programs are detected only by manual work. Therefore, a full-automatic system is necessary to rapidly cover all program logics through calculation to achieve input and output; besides, the system can assist to generate a large number of test cases before manual intervention, and can find out some software defects to assist manual detection to complete compiling work of all test cases. In this paper, a combination of the static structure of procedure and improved genetic algorithm is proposed in order to implement a fully automatic test case generating technology, enhance the generating efficiency and coverage rate of codes, and also can help to save a lot of time in manual testing.
一种基于程序静态结构的改进遗传算法生成测试用例的方法
软件测试是保证软件质量的重要手段。对于大型复杂的软件,如果仅靠人工检测程序,很容易忽略一些错误或错误。因此,需要一个全自动系统,通过计算迅速覆盖所有程序逻辑,实现输入输出;此外,在人工干预之前,系统可以辅助生成大量的测试用例,并且可以发现一些软件缺陷,辅助人工检测完成所有测试用例的编译工作。本文提出了将程序静态结构与改进的遗传算法相结合的方法,实现了一种全自动的测试用例生成技术,提高了代码的生成效率和覆盖率,同时也节省了大量的手工测试时间。
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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