Assessing the Security of GitHub Copilot Generated Code: A Targeted Replication Study

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Assessing the Security of GitHub Copilot Generated Code: A Targeted Replication Study
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Explore the security improvements in AI-powered code generation tools like GitHub Copilot through a replication study

Authors: Vahid Majdinasab, Department of Computer and Software Engineering Polytechnique Montreal, Canada; Michael Joshua Bishop, School of Mathematical and Computational Sciences Massey University, New Zealand; Shawn Rasheed, Information & Communication Technology Group UCOL - Te Pukenga, New Zealand; Arghavan Moradidakhel, Department of Computer and Software Engineering Polytechnique Montreal, Canada; Amjed Tahir, School of Mathematical and Computational Sciences Massey University, New...

Code generation tools aim to increase productivity by generating code segments for developers - either in the form of autocompletion of existing code segments or converting prompts into code. Code generation tools have been around for some time. New code generation tools based on AI models, in particular, have gained popularity over the past few years with the availability of commercial products such as GitHub Copilot and Amazon CodeWhisperer.

Code generation tools aim to increase productivity by generating code segments for developers - either in the form of autocompletion of existing code segments or converting prompts into code. Code generation tools have been around for some time. New code generation tools based on AI models, in particular, have gained popularity over the past few years with the availability of commercial products such as GitHub Copilot and Amazon CodeWhisperer.

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