SCIENCE CHINA Information Sciences, Volume 62, Issue 9: 199105(2019) https://doi.org/10.1007/s11432-018-9822-1

A novel approach for recommending semantically linkable issues in GitHub projects

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  • ReceivedJul 12, 2018
  • AcceptedFeb 26, 2019
  • PublishedJul 29, 2019


There is no abstract available for this article.


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


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  • Table 1   Performance comparison results. GH's SE: GitHub's search engine; IPM: improvements
    ProjectMetric Our approach GH's SE IPM (%)
    JqueryRr@1 0.228 0.086 165.1
    Rr@5 0.435 0.108 302.8
    MAP 0.161 0.061 163.9
    MRR 0.266 0.091 192.3
    RequestRr@1 0.194 0.083 133.7
    Rr@5 0.375 0.125 200.0
    MAP 0.140 0.063 122.2
    MRR 0.226 0.093 143.0

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