Unsafe Code Still a Hurdle Copilot Must Clear.

This paper investigates the security implications of code generated by large language models (LLMs) like GitHub Copilot, which is trained on public repositories to assist developers with code completion. A systematic analysis of 89 programming scenarios revealed that around 40% of Copilot's outputs...

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Publicado en:	Communications of the ACM Vol. 68; no. 2; pp. 95 - 96
Autor principal:	Holz, Thorsten
Formato:	Artículo
Publicado:	Association for Computing Machinery Feb2025
Materias:	Language models Computer software development Generative artificial intelligence Computer programming Computer software quality control
Acceso en línea:	Ver este registro en EBSCOhost