The Rise of AI-Generated Code: A Survey of Accuracy, Security, and Developer Trust

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Bibliographic Details
Title: The Rise of AI-Generated Code: A Survey of Accuracy, Security, and Developer Trust
Authors: Naaz, Fouzia, orcid:0009-0005-4097-
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Subject Terms: AI-generated code, GitHub Copilot, ChatGPT, Software Engineering, Developer Trust, Security
Description: 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.
Document Type: report
Language: English
Relation: https://zenodo.org/records/15920530; oai:zenodo.org:15920530; https://doi.org/10.5281/zenodo.15920530
DOI: 10.5281/zenodo.15920530
Availability: 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)
Accession Number: edsbas.77CD3373
Database: BASE
Description
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.
DOI:10.5281/zenodo.15920530