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Intelligent Development Environment and Software Knowledge Graph

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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.

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Authors and Affiliations

  1. Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education, Beijing, 100871, China

    Ze-Qi Lin, Bing Xie, Yan-Zhen Zou & Jun-Feng Zhao

  2. Beida (Binhai) Information Research, Tianjin, 300450, China

    Ze-Qi Lin, Bing Xie, Yan-Zhen Zou & Jun-Feng Zhao

  3. National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China

    Xuan-Dong Li

  4. Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China

    Jun Wei

  5. School of Computer Science and Engineering, Beihang University, Beijing, 100191, China

    Hai-Long Sun

  6. College of Computer, National University of Defense Technology, Changsha, 410073, China

    Gang Yin

Authors
  1. Ze-Qi Lin
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  2. Bing Xie
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  3. Yan-Zhen Zou
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  4. Jun-Feng Zhao
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  5. Xuan-Dong Li
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  6. Jun Wei
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  7. Hai-Long Sun
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  8. Gang Yin
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Corresponding author

Correspondence to Bing Xie.

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Lin, ZQ., Xie, B., Zou, YZ. et al. Intelligent Development Environment and Software Knowledge Graph. J. Comput. Sci. Technol. 32, 242–249 (2017). https://doi.org/10.1007/s11390-017-1718-y

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  • DOI: https://doi.org/10.1007/s11390-017-1718-y

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