Code Smell Classification in Python: Are Small Language Models Up to the Task?
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| Titel: | Code Smell Classification in Python: Are Small Language Models Up to the Task? |
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| Autoren: | Soares de Oliveira, Igor, orcid:0009-0002-4554-, Carneiro da Silva Ribeiro, Joanne, Ribas, Jessica, Alves Pereira, Juliana |
| Verlagsinformationen: | Zenodo |
| Publikationsjahr: | 2025 |
| Bestand: | Zenodo |
| Beschreibung: | This repository brings together the artifacts developed as part of a study focused on the classification of code smells using Small Language Models (SLMs). It consists of a set of applications and a dataset. Applications: Three services that operate in an integrated manner to perform the extraction, analysis, and storage of information related to code smells found in code snippets. These services include a submission interface, mechanisms for structured code extraction, and integration with language models for the classification of smells. Dataset: A dataset generated from the experiments conducted, containing examples of code smells classified through the use of SLMs. |
| Publikationsart: | software |
| Sprache: | unknown |
| Relation: | https://zenodo.org/records/16999902; oai:zenodo.org:16999902; https://doi.org/10.5281/zenodo.16999902 |
| DOI: | 10.5281/zenodo.16999902 |
| Verfügbarkeit: | https://doi.org/10.5281/zenodo.16999902 https://zenodo.org/records/16999902 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Dokumentencode: | edsbas.80C49CFE |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | This repository brings together the artifacts developed as part of a study focused on the classification of code smells using Small Language Models (SLMs). It consists of a set of applications and a dataset. Applications: Three services that operate in an integrated manner to perform the extraction, analysis, and storage of information related to code smells found in code snippets. These services include a submission interface, mechanisms for structured code extraction, and integration with language models for the classification of smells. Dataset: A dataset generated from the experiments conducted, containing examples of code smells classified through the use of SLMs. |
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| DOI: | 10.5281/zenodo.16999902 |