Choose Wisely: Code Smells in Automatically Generated Code by Joanna Cecilia da Silva Santos @StrangeLoopConf
Choose Wisely: Code Smells in Automatically Generated Code by Joanna Cecilia da Silva Santos @StrangeLoopConf
Strange Loop Conference | "Choose Wisely: Code Smells in Automatically Generated Code" by Joanna Cecilia da Silva Santos @StrangeLoopConf | Uploaded 1 year ago | Updated September 28 2023
AI-based code generation tools (such as GitHub Copilot) can help software engineers save time while developing their code. However, are the code snippets generated by these tools trustworthy? In this talk, I explain some of the security and quality risks of using the code generated by these tools based on our research findings. Study pre-print: https://s2e-lab.github.io/preprints/scam22-preprint.pdf.

Joanna Cecilia da Silva Santos, PhD
Assistant Professor
Department of Computer Science and Engineering
University of Notre Dame

Joanna is an Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame. Her main research interests are software engineering, software security, and program analysis.

Presented at the "It Will Never Work in Theory" miniconf at Strange Loop 2022. https://neverworkintheory.org/events/strange-loop-2022-09.html

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"Choose Wisely: Code Smells in Automatically Generated Code" by Joanna Cecilia da Silva Santos @StrangeLoopConf