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Hybrid-Linker: Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data (ICSME'2021)

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Hybrid-Linker

This repositry contains the source code adn datasets for our study titled as "Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data", accepted at the IEEE International Conference on Software Maintenance and Evolution (ICSME'2021).

Access this dataset and source code by following this link: https://github.com/MalihehIzadi/hybrid-linker

Citation

This work is accepted for publication in ICSME'2021 conference, under the title of "Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data".

@inproceedings{rostami2021hybrid-linker,
  author       = {Pooya Rostami Mazrae and
                  Maliheh Izadi and
                  Abbas Heydarnoori},
  title        = {Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data},
  booktitle    = {{IEEE} International Conference on Software Maintenance and Evolution {(ICSME)}},
  pages        = {263--273},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/ICSME52107.2021.00030},
  doi          = {10.1109/ICSME52107.2021.00030},
}

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Hybrid-Linker: Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data (ICSME'2021)

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