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A novel approach for recommending semantically linkable issues in GitHub projects

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Acknowledgments

This work was supported by National Grand R&D Plan (Grant No. 2018YFB1003903) and National Natural Science Foundation of China (Grant No. 61432020).

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Authors and Affiliations

  1. Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha, 410073, China

    Yang Zhang, Yiwen Wu, Tao Wang & Huaimin Wang

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

    Yang Zhang, Yiwen Wu, Tao Wang & Huaimin Wang

Authors
  1. Yang Zhang
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  2. Yiwen Wu
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  3. Tao Wang
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  4. Huaimin Wang
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Corresponding author

Correspondence to Yiwen Wu.

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Zhang, Y., Wu, Y., Wang, T. et al. A novel approach for recommending semantically linkable issues in GitHub projects. Sci. China Inf. Sci. 62, 199105 (2019). https://doi.org/10.1007/s11432-018-9822-1

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  • DOI: https://doi.org/10.1007/s11432-018-9822-1

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