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Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study
IEEE International Conference on Software Analysis, Evolution, and Reengineering, 2023AI-powered code generation models have been developing rapidly, allowing developers to expedite code generation and thus improve their productivity. These models are trained on large corpora of code (primarily sourced from public repositories), which may
Vahid Majdinasab +5 more
semanticscholar +1 more source
arXiv.org
Generative AI technologies promise to transform the product development lifecycle. This study evaluates the efficiency gains, areas for improvement, and emerging challenges of using GitHub Copilot, an AI-powered coding assistant.
Ruchika Pandey +3 more
semanticscholar +1 more source
Generative AI technologies promise to transform the product development lifecycle. This study evaluates the efficiency gains, areas for improvement, and emerging challenges of using GitHub Copilot, an AI-powered coding assistant.
Ruchika Pandey +3 more
semanticscholar +1 more source
Social Science Research Network
Generative artificial intelligence (AI) facilitates content production and enhances ideation capabilities, which can significantly influence developer productivity and participation in software development.
Fan Song, A. Agarwal, Wen Wen
semanticscholar +1 more source
Generative artificial intelligence (AI) facilitates content production and enhances ideation capabilities, which can significantly influence developer productivity and participation in software development.
Fan Song, A. Agarwal, Wen Wen
semanticscholar +1 more source
2025 7th International Conference on Software Engineering and Computer Science (CSECS)
As artificial intelligence tools like GitHub Copilot become more integrated into software development workflows, they are transforming how architects approach modern software design.
Renjith Ramachandran
semanticscholar +1 more source
As artificial intelligence tools like GitHub Copilot become more integrated into software development workflows, they are transforming how architects approach modern software design.
Renjith Ramachandran
semanticscholar +1 more source
Artificially Insecure: Examining GitHub Copilot’s AI-based Vulnerability Prevention System
Silicon Valley Cybersecurity ConferenceAI-assisted programming has quickly become standard practice in software development life cycles. GitHub Copilot is a popular AI pair-programmer used by developers and enterprises.
N. Armstrong, T. Hartley
semanticscholar +1 more source
Assessing the Performance of AI-Generated Code: A Case Study on GitHub Copilot
IEEE International Symposium on Software Reliability EngineeringThe integration of Large Language Models (LLMs) into software development tools like GitHub Copilot holds the promise of transforming code generation processes.
Shuang Li +5 more
semanticscholar +1 more source
Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot
IEEE Working Conference on Mining Software RepositoriesGitHub Copilot is an AI-enabled tool that automates program synthesis. It has gained significant attention since its launch in 2021. Recent studies have extensively examined Copilot’s capabilities in various programming tasks, as well as its security ...
K. Koyanagi +6 more
semanticscholar +1 more source
arXiv.org
AI assistants for coding are on the rise. However one of the reasons developers and companies avoid harnessing their full potential is the questionable security of the generated code.
J. Res +5 more
semanticscholar +1 more source
AI assistants for coding are on the rise. However one of the reasons developers and companies avoid harnessing their full potential is the questionable security of the generated code.
J. Res +5 more
semanticscholar +1 more source