codingClaire/Structural-Code-Understanding
A Survey of Deep Learning Models for Structural Code Understanding
This is a curated collection of research papers focused on deep learning techniques for understanding code. It helps researchers and practitioners exploring how AI can analyze source code for various tasks. You input your specific area of interest, such as 'code generation' or 'vulnerability detection,' and it outputs relevant academic papers grouped by year, task, dataset, and model.
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Use this if you are a researcher or AI engineer looking for an organized overview of the academic landscape in structural code understanding using deep learning.
Not ideal if you are looking for an off-the-shelf tool or library to directly apply to a coding problem, as this is a research survey.
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May 12, 2022
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