A User-centered Security Evaluation of Copilot. (arXiv:2308.06587v3 [cs.SE] UPDATED)

Code generation tools driven by artificial intelligence have recently become
more popular due to advancements in deep learning and natural language
processing that have increased their capabilities. The proliferation of these
tools may be a double-edged sword because while they can increase developer
productivity by making it easier to write code, research has shown that they
can also generate insecure code. In this paper, we perform a user-centered
evaluation GitHub's Copilot to better understand its strengths and weaknesses
with respect …

artificial artificial intelligence capabilities code copilot deep learning developer developer productivity easier evaluation intelligence language making may natural natural language natural language processing popular productivity proliferation security tools