ISE-Research / Software-Topic-Recommender

Topic Recommendation for Software Repositories using Multi-label Classification Algorithms (EMSE'26:5, 2021)

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Software Topic (Tag) Recommender

This repository contains all our exploration on the use of machine learning methods to automatically recommend topics (tags) for software repositories.

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

Citation

This work is accepted for publication in Empirical Software Engineering Journal, under the title of "Topic Recommendation for Software Repositories using Multi-label Classification Algorithms".

@article{izadi2021topic,
  title={Topic recommendation for software repositories using multi-label classification algorithms},
  author={Izadi, Maliheh and Heydarnoori, Abbas and Gousios, Georgios},
  journal={Empirical Software Engineering},
  volume={26},
  number={5},
  pages={93},
  year={2021},
  publisher={Springer}
}

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Topic Recommendation for Software Repositories using Multi-label Classification Algorithms (EMSE'26:5, 2021)

License:MIT License