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

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.