? 智能开发环境与软件知识图谱
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Journal of Computer Science and Technology 2017, Vol. 32 Issue (2) :242-249    DOI: 10.1007/s11390-017-1718-y
Special Section on MOST Cloud and Big Data << Previous Articles | Next Articles >>
智能开发环境与软件知识图谱
Ze-Qi Lin1,2, Bing Xie1,2,*, Senior Member, CCF, Yan-Zhen Zou1,2, Member, CCF, ACM, IEEE, Jun-Feng Zhao1,2, Member, CCF, Xuan-Dong Li3, Fellow, CCF, Member, ACM, IEEE, Jun Wei4, Senior Member, CCF, Hai-Long Sun5, Senior Member, CCF, Member, ACM, IEEE, Gang Yin6, Member, CCF
1 Key Laboratory of High Confidence Software Technologies(Peking University), Ministry of Education Beijing 100871, China;
2 Beida(Binhai) Information Research, Tianjin 300450, China;
3 National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China;
4 Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China;
5 School of Computer Science and Engineering, Beihang University, Beijing 100191, China;
6 College of Computer, National University of Defense Technology, Changsha 410073, China
Intelligent Development Environment and Software Knowledge Graph
Ze-Qi Lin1,2, Bing Xie1,2,*, Senior Member, CCF, Yan-Zhen Zou1,2, Member, CCF, ACM, IEEE, Jun-Feng Zhao1,2, Member, CCF, Xuan-Dong Li3, Fellow, CCF, Member, ACM, IEEE, Jun Wei4, Senior Member, CCF, Hai-Long Sun5, Senior Member, CCF, Member, ACM, IEEE, Gang Yin6, Member, CCF
1 Key Laboratory of High Confidence Software Technologies(Peking University), Ministry of Education Beijing 100871, China;
2 Beida(Binhai) Information Research, Tianjin 300450, China;
3 National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China;
4 Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China;
5 School of Computer Science and Engineering, Beihang University, Beijing 100191, China;
6 College of Computer, National University of Defense Technology, Changsha 410073, China

摘要
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摘要 软件智能开发是软件工程领域的一个重要研究趋势。本文首次提出了智能开发环境和软件知识图谱这两个关键概念。智能开发环境是一个集成了软件大数据汇聚、挖掘与分析的生态环境,能够为软件开发的全生命周期提供智能化支持。本文介绍了智能开发环境的架构,并讨论了其中的关键研究问题与挑战。软件知识图谱是一个软件知识的表示与管理框架,在智能开发环境中扮演了重要的角色。本文为这一概念给出了定义,并通过具体的细节与示例来介绍软件知识图谱的构造与应用过程。
关键词智能开发环境   软件大数据   软件知识图谱   语义搜索     
Abstract: Software intelligent development has become one of the most important research trends in software engineering. In this paper, we put forward two key concepts-intelligent development environment (IntelliDE) and software knowledge graph-for the first time. IntelliDE is an ecosystem in which software big data are aggregated, mined and analyzed to provide intelligent assistance in the life cycle of software development. We present its architecture and discuss its key research issues and challenges. Software knowledge graph is a software knowledge representation and management framework, which plays an important role in IntelliDE. We study its concept and introduce some concrete details and examples to show how it could be constructed and leveraged.
Keywordsintelligent development environment   software big data   software knowledge graph   semantic search     
Received 2016-11-06;
本文基金:

This work is supported by the National Key Research and Development Program of China under Grant No. 2016YFB1000800, and the National Science Fund for Distinguished Young Scholars of China under Grant No. 61525201.

通讯作者: Bing Xie     Email: xiebing@pku.edu.cn
About author: Ze-Qi Lin received his B.E. degree in computer science from Peking University, Beijing, in 2014. He is currently pursuing his Ph.D. degree in computer science at Peking University, Beijing. His main research interests include software engineering, software reuse, knowledge engineering, data mining, etc.
引用本文:   
Ze-Qi Lin, Bing Xie, Yan-Zhen Zou, Jun-Feng Zhao, Xuan-Dong Li, Jun Wei, Hai-Lo.智能开发环境与软件知识图谱[J]  Journal of Computer Science and Technology , 2017,V32(2): 242-249
Ze-Qi Lin, Bing Xie, Yan-Zhen Zou, Jun-Feng Zhao, Xuan-Dong Li, Jun Wei, Hai-Long Sun, Gang Yin.Intelligent Development Environment and Software Knowledge Graph[J]  Journal of Computer Science and Technology, 2017,V32(2): 242-249
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