CoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature

Description

This repository contains the source code and supporting materials for the paper "CoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature" by Chenyan Liu, Yufan Cai, Yun Lin, Yuhuan Huang, Yunrui Pei, Bo Jiang, Ping Yang, Jin Song Dong, and Hong Mei. Presented at ISSTA'24.

Demo

Note

Please click the image to watch the demo video on YouTube.

Contents

More detailed READMEs are available in each subdirectory.

• /dependency_analyzer: The inference script and pre-trained model for the dependency analyzer.
• /file_locator: The training script for semantic embedding model and the inference script to combine the score of dependency and semantic similarity.
• /line_locator: The training and inference script for line-locator.
• /generator: The training and inference script for edit-generator.

Getting Started

Our model scripts require Python 3.10 and Pytorch with CUDA.

Using pip (with Python 3.10):

pip install -r requirements.txt

Or using conda :

conda create -n coedpilot python=3.10.13
conda activate coedpilot
python -m pip install -r requirements.txt