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Comparative analysis of the applicability of artificial intelligence models for code generation (2026) · DOI 10.35784/jcsi.9777

Source: Metraipolis archive
Original: https://doi.org/10.35784/jcsi.9777
License (as archived): CC-BY-4.0
Archived: 2026-10-08T02:42:00.481Z
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Comparative analysis of the applicability of artificial intelligence models for code generation (2026) · DOI 10.35784/jcsi.9777 — Metraipolis archive, https://doi.org/10.35784/jcsi.9777 (CC-BY-4.0); archived copy: https://metraipolis.com/documento/dc_8a61ba980f11 (Metraipolis archive dc_8a61ba980f11, sha256 bdba0ac0d0bdb65c83070343f88346bc80a68f89f0da9a87288c125c0835a61a)

BibTeX

@misc{dc8a61ba980f11,
  title = {Comparative analysis of the applicability of artificial intelligence models for code generation (2026) · DOI 10.35784/jcsi.9777},
  howpublished = {Metraipolis archive},
  url = {https://doi.org/10.35784/jcsi.9777},
  note = {License CC-BY-4.0; archived copy https://metraipolis.com/documento/dc_8a61ba980f11; sha256 bdba0ac0d0bdb65c83070343f88346bc80a68f89f0da9a87288c125c0835a61a},
  year = {2026}
}

Archived text

Reproduced under CC-BY-4.0. Attribution: Metraipolis archive, https://doi.org/10.35784/jcsi.9777. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Articolo recente con licenza aperta: scheda dai metadati Crossref (journal-article).
Titolo: Comparative analysis of the applicability of artificial intelligence models for code generation
Autori: Patryk Warchoł, Małgorzata Plechawska-Wójcik
Pubblicato: 2026-09-30 · in: Journal of Computer Sciences Institute · editore: Politechnika Lubelska
DOI: https://doi.org/10.35784/jcsi.9777
Licenza dell'articolo: CC-BY-4.0

Abstract (testo degli autori, CC-BY-4.0):
This article analyses the potential for using selected artificial intelligence models in the code generation process during the development of a web application. The analysis was conducted in the Windsurf environment using the Open Data Explorer project as a case study. These models were compared in terms of functional effectiveness, implementation efficiency, the quality of the generated code, project stability, and the types of errors that occurred during subsequent iterations. The results of the analysis were presented in the form of tables and comparative descriptions, which allowed for an assessment of the practical usefulness of the studied models in AI-assisted programming.

Fonte: https://api.crossref.org/works/10.35784%2Fjcsi.9777 — metadati Crossref, consultati il 2026-10-07. Interrogazione: «code generation language models».