Is GitHub’s Copilot as bad as humans at introducing vulnerabilities in code?

Several advances in deep learning have been successfully applied to the software development process. Of recent interest is the use of neural language models to build tools, such as Copilot, that assist in writing code. In this paper we perform a comparative empirical analysis of Copilot-generated c...

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Bibliographic Details
Published in:	Empirical software engineering : an international journal Vol. 28; no. 6; p. 129
Main Authors:	Asare, Owura, Nagappan, Meiyappan, Asokan, N.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.11.2023 Springer Nature B.V
Subjects:	Compilers Computer Science Datasets Deep learning Empirical analysis Interpreters Language Mining Software Repositories (MSR) Natural language processing Neural networks Programming Languages Software development Software engineering Software Engineering/Programming and Operating Systems code security copilot software engineering language models
ISSN:	1382-3256, 1573-7616
Online Access:	Get full text
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