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Code line generation based on deep context-awareness of onsite programming

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References

  1. Nguyen T T, Nguyen A T, Nguyen H A, et al. A statistical semantic language model for source code. In: Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering, Saint Petersburg, 2013. 532–542

  2. White M, Vendome C, Linares-Vásquez M, et al. Toward deep learning software repositories. In: Proceedings of the 12th Working Conference on Mining Software Repositories, Florence, 2015. 334–345

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Acknowledgements

This work was supported by National Key R&D Program of China (Grant No. 2018YFB1003900), National Natural Science Foundation of China (Grant Nos. 61602267, 61402229), Open Fund of the State Key Laboratory for Novel Software Technology (Grant No. KFKT2018B19), and Fundamental Research Funds for the Central Universities (Grant No. NS2019058).

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Authors and Affiliations

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211100, China

    Chuanqi Tao, Panpan Bao & Zhiqiu Huang

  2. Ministry Key Laboratory for Safety-Critical Software Development and Verification, Nanjing University of Aeronautics and Astronautics, Nanjing, 211100, China

    Chuanqi Tao & Zhiqiu Huang

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

    Chuanqi Tao

Authors
  1. Chuanqi Tao
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  2. Panpan Bao
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  3. Zhiqiu Huang
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Correspondence to Chuanqi Tao.

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Tao, C., Bao, P. & Huang, Z. Code line generation based on deep context-awareness of onsite programming. Sci. China Inf. Sci. 63, 190106 (2020). https://doi.org/10.1007/s11432-019-2777-2

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  • DOI: https://doi.org/10.1007/s11432-019-2777-2

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