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Code Intelligence Papers

Code intelligence is a cross-research field combined with machine learning and software engineering. Since the large-scale pre-trained language models(PLMs) have achieved amazing improvement in the NLP area, researchers were trying to migrate PLMs from natural language to programming language. GPT-3 shown the ability to automatic programming followed by human instructions(CodeX) and Github proposed the Copilot tools to help developers, the Code intelligence area gradually emerging and reflecting the commercial value.

In this repository, I collect a series of papers on code intelligence, including surveys, sub-area papers, pre-trained models, metrics, datasets, etc. Most of those papers are published on the top conference of AI or SE and attached with opensource code or data. Hope this list can help you to do further research.

Survey

Text to Code

Code Search

Natural Language to Code

Text to Code

Text to SQL

Code to code

Code Translation(Migration)

API Mapping

Code Completion

Code Repair

Code Clone Dectection

Code to Text

Code Summarization/Documentation

Code Representation and Pretrained Models

Metrics and Estimation

Datasets and Benchmark