Automatic Classification of Software Repositories: a Systematic Mapping Study
The rapid growth of software repositories on development platforms such as GitHub, as well as archives like Software Heritage, prompts the need for better repository classification. Machine learning is increasingly used to automate this classification, but there are no secondary studies analyzing this research landscape.
Authors
- Stefano Zacchiroli (ORCID: https://orcid.org/0000-0002-4576-136X)
- Romain Robbes (ORCID: https://orcid.org/0000-0003-4569-6868)
- Thomas Degueule (ORCID: https://orcid.org/0000-0002-5961-7940)
- Jean‐Rémy Falleri (ORCID: https://orcid.org/0000-0002-8284-7218)
- Stefano Balla
Institutions
- Télécom Paris (FR)
- Centre National de la Recherche Scientifique (FR)
- Université de Bordeaux (FR)
- Centre Hospitalier Universitaire de Bordeaux (FR)
- Bordeaux Population Health (FR)
- Laboratoire Bordelais de Recherche en Informatique (FR)
- Institut Polytechnique de Bordeaux (FR)
- Laboratoire Traitement et Communication de l’Information (FR)
- University of Bologna (IT)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1145/3756681.3756958
- Citations
- 2
- Primary Topic
- Software Engineering Research
- Type
- article
- Field-Weighted Citation Impact
- 6.49