基于Rough集的软件测试用例优化过程

The Rough Set-Based Optimizing Process of Software Test Case

测试用例生成是软件测试的关键环节,也是软件测试的重点和难点,如何生成高效简化的测试用例是软件测试研究的重要问题之一。对此,提出了基于Rough集的软件测试用例优化过程。针对这一过程采用一种能同时得到属性核值信息的属性约简算法,提出了一种新的属性值约简算法。最后结合一个实例说明了此优化过程具有较高的效率,达到了较好的测试用例优化效果。

The generation of software test case is the key step in software test, both the keystone and difficulty. How to generate highly effect software test case is one of the important problems in software test study. So advances rough - set - based optimizing process which can make software test case optimized. According to this process, an attribute reduction arithmetic which can find attribute core values is adopted, a new value reduction arithmetic is brought forward. Finally combined with an example, the process which has upper efficiency is illuminated. The experiment effect is preferable.