The Rise of AI-Generated Code: A Survey of Accuracy, Security, and Developer Trust
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| Titel: | The Rise of AI-Generated Code: A Survey of Accuracy, Security, and Developer Trust |
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| Autoren: | Naaz, Fouzia, orcid:0009-0005-4097- |
| Verlagsinformationen: | Zenodo |
| Publikationsjahr: | 2025 |
| Bestand: | Zenodo |
| Schlagwörter: | AI-generated code, GitHub Copilot, ChatGPT, Software Engineering, Developer Trust, Security |
| Beschreibung: | This paper presents a literature survey of AI-generated code tools like GitHub Copilot and ChatGPT, focusing on accuracy, security vulnerabilities, and developer trust. It synthesizes recent research, identifies risks, and proposes directions for responsible use. |
| Publikationsart: | report |
| Sprache: | English |
| Relation: | https://zenodo.org/records/15920530; oai:zenodo.org:15920530; https://doi.org/10.5281/zenodo.15920530 |
| DOI: | 10.5281/zenodo.15920530 |
| Verfügbarkeit: | https://doi.org/10.5281/zenodo.15920530 https://zenodo.org/records/15920530 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; © 2025 The Author (Fouzia Naaz) |
| Dokumentencode: | edsbas.77CD3373 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | This paper presents a literature survey of AI-generated code tools like GitHub Copilot and ChatGPT, focusing on accuracy, security vulnerabilities, and developer trust. It synthesizes recent research, identifies risks, and proposes directions for responsible use. |
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| DOI: | 10.5281/zenodo.15920530 |