基于改进遗传算法的软件测试数据自动生成系统研究  

Research on Software Test Data Automatic Generation System Based on Improved Genetic Algorithm

作　　者：孙德刚 SUN Degang(Shandong Huayu University of Technology,Dezhou 253034,China)

机构地区：[1]山东华宇工学院,山东德州253034

出　　处：《现代信息科技》2020年第1期23-24,共2页Modern Information Technology

基　　金：2017年度山东省职业教育教学改革研究项目(2017304)。

摘　　要：随着软件测试自动化水平的进一步提升,其对自动准确生成软件测试数据的要求也逐渐提高。但由于以往常用的遗传算法存在一定的局限性,难以令软件测试数据始终保持较快的自动生成速度与数据高质量。因此需要对该遗传算法进行优化改进,在这一背景下,本文将从阐明改进遗传算法的必要性入手,分别从算法设计与系统设计两方面,重点针对基于改进遗传算法的软件测试数据自动生成系统进行简要分析研究。With the further improvement of the level of software test automation,its requirements for automatically and accurately generating software test data have gradually increased. However,due to the limitations of the commonly used genetic algorithms in the past,it is difficult to keep the software test data always at a relatively fast automatic generation speed and high quality. Therefore,the genetic algorithm needs to be optimized and improved. In this context,this article will start by clarifying the necessity of improving the genetic algorithm,from the aspects of algorithm design and system design,this paper focuses on the automatic generation system of software test data based on improved genetic algorithm.

关 键 词：改进遗传算法 软件测试数据 自动生成系统 

分 类 号：TP311.53[自动化与计算机技术—计算机软件与理论] TP18[自动化与计算机技术—计算机科学与技术]