About
Cody Watson is an Assistant Professor of Computer Science at Washington and Lee University’s College. His work focuses on applying deep learning and artificial intelligence to software engineering challenges, particularly in automated code generation, testing, and security vulnerability detection.
- Published in ACM Transactions on Software Engineering and Methodology (TOSEM)
- Presented at the International Conference on Software Engineering
Research interests include:
- Deep learning applications for software engineering
- Neural machine translation in code analysis
- Reproducibility and best practices in AI-driven development
His recent work maps deep learning trends in software engineering, identifying preprocessing patterns like tokenization for code generation tasks and extending methods to address security gaps in large-scale software systems.
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