软件测试数据自动生成方法分类的研究  

Research on Classification of Software Test Data Automatic Generation Methods

作　　者：范书平 马宝英 王雪艳[3] 高晨光 FAN Shuping;MA Baoying;WANG Xueyan;GAO Chenguang(School of Computer and Information Technology,Mudanjiang Normal University,Mudanjiang Heilongjiang 157012;College of Computer Science and Technology,Harbin Engineering University,Harbin Heilongjiang 150001;School of Health Management,Mudanjiang Medical University,Mudanjiang Heilongjiang 157011)

机构地区：[1]牡丹江师范学院计算机与信息技术学院,黑龙江牡丹江157012 [2]哈尔滨工程大学计算机科学与技术学院,黑龙江哈尔滨150001 [3]牡丹江医学院卫生管理学院,黑龙江牡丹江157011

出　　处：《软件》2023年第8期41-43,共3页Software

基　　金：黑龙江省省属高等学校基本科研业务费(2021-KYYWFMY-0027)。

摘　　要：软件测试是保证软件质量的重要手段,测试数据自动生成是软件测试领域研究的热点之一。近些年,测试数据的自动化生成得到了广泛的关注。本文首先总结了应用较为频繁的基于路径覆盖、优化算法的测试数据生成的研究成果,之后归纳了基于聚类算法以及基于UML模型的测试数据自动生成技术的研究现状,并分析了每类方法的特点及面临的主要问题,最后对测试数据自动生成的未来发展进行了展望。Software testing is an important way to ensure software quality,and automatic generation of test data is one of the hotspots in the field of software testing.In recent years,the automatic generation of test data has received extensive attention.Firstly,this paper summarizes the research results of test data generation based on path coverage and optimization algorithm,which are frequently used.Then,the research status of automatic test data generation based on clustering algorithm and UML model is summarized,and the characteristics and main problems of each method are analyzed.Finally,the future development of automatic generation of measurement data is prospected.

关 键 词：软件测试 自动化 测试数据生成 软件质量 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]