SmellyCode++: Multi-Label Dataset for Code Smell Detection
This dataset aids advanced studies on code smell detection, particularly for fine-tuning LLMs. Future work can expand it to other languages and additional smells, enhancing diversity and applicability.
Authors
- Mohammad Alshayeb (ORCID: https://orcid.org/0000-0001-7950-0099)
- Amal Alazba (ORCID: https://orcid.org/0000-0002-9353-7872)
- Hamoud Aljamaan (ORCID: https://orcid.org/0000-0002-2146-9348)
- Nawaf Alomari
Institutions
- King Fahd University of Petroleum and Minerals (SA)
- King Saud University (SA)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-07-12
- DOI
- https://doi.org/10.1038/s41597-025-05465-z
- Citations
- 2
- Primary Topic
- Software Engineering Research
- Type
- article
- Field-Weighted Citation Impact
- 6.49
Funders
- King Fahd University of Petroleum and Minerals