基于知识图谱的雷达软件测试用例复用研究  

Radar Software Test Case Reusing Based on Knowledge Graph

作　　者：李昊[1] 柳溪[1] LI Hao;LIU Xi(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)

机构地区：[1]南京电子技术研究所,江苏南京210039

出　　处：《测控技术》2021年第6期18-26,共9页Measurement & Control Technology

摘　　要：为了更加充分地利用雷达软件测试用例与其他测试知识的关系,进一步优化雷达软件测试用例复用效果,提出了一种基于知识图谱的雷达软件测试用例复用方法。该方法依据雷达软件测试本体关系模型,从现有的雷达软件测试管理系统中抽取测试知识构建雷达软件测试知识图谱,以实体特征属性文本的语义相似度匹配为基础,结合知识推荐和协同过滤推荐技术建立雷达软件测试用例复用推荐模型,并使用该模型开展测试用例复用设计和探索性测试会话生成。项目实践表明,该方法充分发挥了知识图谱在关系检索应用和图形化结果展现上的优势,具有较好的精确率和召回率,能够大幅节约软件测试时间成本,具有较强的工程应用价值。In order to make full use of the relationship between radar software test cases and other test knowledge,and further improve the reuse effect of radar software test cases,a method of reusing radar software test cases based on the knowledge graph is proposed.Based on the radar software test ontology relationship model,the method extracted test knowledge from the existing radar software test management system to construct a radar software test knowledge graph.Based on the semantic similarity matching of entity feature attribute text and combined with knowledge recommendation and collaborative filtering recommendation technology,a radar software test case reusing recommendation model was established.The model was used to design test case reuse and generate exploratory test session.Project practice shows that this method gives full play to the advantages of knowledge graphs in relational retrieval applications and graphical results presentation,and has good precision and recall,which can also greatly save software testing time and cost and has strong engineering application value.

关 键 词：软件测试 用例复用 知识图谱 实体匹配 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]