基于人工免疫算法的软件测试数据自动生成方法  

Software Test Data Generation Method Based on Artificial Immunization Algorithm

作　　者：施炜利 SHI Weili(Jiangxi Province Science and Technology Basic Conditions Platform Center,Nanchang Jiangxi 330000,China)

机构地区：[1]江西省科技基础条件平台中心,江西南昌330000

出　　处：《信息与电脑》2023年第15期129-131,共3页Information & Computer

摘　　要：随着软件规模的不断扩大,软件发生错误的可能性增加,如何保证软件的质量和可靠性成为人们非常重视的问题。常规软件测试数据自动生成方法主要使用启发式测试策略模型(Heuristic Test Strategy Model,HTSM)进行数据特征分析重组,易受数据库资源参数时序分布作用影响,导致测试数据自动生成误差率较高,为此提出基于人工免疫算法的软件测试数据自动生成方法。实验结果表明,该方法的自动生成误差率较低,大幅度降低了软件测试的成本,保障了可信性测试的完整性,具有一定的应用价值。With the continuous expansion of software scale,the possibility of software errors also increases.How to ensure the quality and reliability of software has become a highly valued issue.The conventional method for automatic generation of software testing data mainly uses the Heuristic Test Strategy Model(HTSM)for data feature analysis and reorganization,which is easily affected by the temporal distribution of database resource parameters and can lead to a high error rate in automatic generation of testing data.Therefore,this paper proposes a software testing data automatic generation method based on artificial immune algorithm.The experimental results show that the automatic generation error rate of this method is low,greatly reducing the cost of software testing,improving the integrity of credibility testing,and has certain application value.

关 键 词：人工免疫算法 软件测试 自动生成 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]