›› 2017, Vol. 32 ›› Issue (2): 242-249.doi: 10.1007/s11390-017-1718-y

Special Issue: Artificial Intelligence and Pattern Recognition; Software Systems

• Special Section on MOST Cloud and Big Data • Previous Articles     Next Articles

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. 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
  • Received:2016-11-06 Revised:2016-11-28 Online:2017-03-05 Published:2017-03-05
  • Contact: Bing Xie E-mail: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.
  • Supported by:

    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.

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.

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