Solve the False-Positive Problem of the Mimic System Based on the Best Mimic Component Set

At present,there is a problem of false positives caused by the too vast mimic scope in mimic transformation technology.Previous studies have focused on the“compensation”method to deal with this problem,which is expensive and cannot fundamentally solve it.This paper provides new insights into coping with the situation.Firstly,this study summarizes the false-positive problem in the mimic transformation,analyzes its possible harm and the root causes.Secondly,three properties about the mimic scope are proposed.Based on the three properties and security quantification technology,the best mimic component set theory is put forward to solve the false-positive problem.There are two algorithms,the supplemental method and the subtraction method.The best mimic component set obtained by these two algorithms can fundamentally solve the mimic system’s false-positive problem but reduce the cost of mimic transformation.Thus make up for the lack of previous researches.

测试程序集组件化设计研究与实现

针对自动测试系统设计过程中,测试程序存在的开发效率低、语义不统一、维护难度大,对开发人员技术水平要求较高,阻碍自动测试系统整体开发速度及推广应用等问题,文中开展测试程序集组件化设计研究,并通过软件设计实现相关功能,改变测试程序集的设计方式。首先,构建测试程序集设计所需资源库,动态识别提取资源库相关信息,并结构化表达;其次,对测试程序集内容要素进行分类,结合UI设计开发对应的组件,组件关联资源库结构化信息,实现拖拽组件、组件内容参数化设置的非编码设计方式以及自动生成源代码;最后,采用Python脚本语言与PyQT界面设计工具,结合测试程序集设计流程,开发相应的软件功能,将测试程序集设计界面呈现给设计师。实际使用证明,测试程序集设计软件操作简单,自动生成的源代码可被自动测试系统软件平台执行,提高自动测试系统的开发效率。