基于知识图谱的软件测评数据智能化管理  

Intelligent Management of Software Evaluation Data Based on Knowledge Graph

作　　者：赵锐 朱卫星 刘喆 Zhao Rui;Zhu Wei-xing;Liu Zhe(Army Engineering University of PLA,Nanjing 210007,Jiangsu Province,China)

机构地区：[1]中国人民解放军陆军工程大学,江苏南京210007

出　　处：《科学与信息化》2024年第23期190-192,共3页Technology and Information

摘　　要：本文研究了知识图谱在软件测评数据管理中的应用,介绍了知识图谱的概念、优势以及与软件测评数据管理的关系,然后从测试用例、数据整合、功能分析、关联挖掘、缺陷管理等方面阐述了知识图谱在软件测评数据管理中的应用。知识图谱具有关联性强、可拓展性强、安全性高等特点,可以弥补传统软件测评数据管理方法的不足。This paper studies the application of knowledge graph in software evaluation data management,introduces the concept and advantages of knowledge graph as well as its relationship with software evaluation data management,and then expounds the application of knowledge graph in software evaluation data management from the aspects of test cases,data integration,functional analysis,association mining,defect management and so on.Knowledge graph has the characteristics of strong relevance,strong scalability and high security,which can make up for the shortcomings of traditional software evaluation data management methods.

关 键 词：知识图谱 数据管理 数据整合 智能预测 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]