CCBERT: Self-Supervised Code Change Representation Learning
This is the implementation of "CCBERT: Self-Supervised Code Change Representation Learning" published in the research track in ICSME 2023.
Download Replication package
Please download it from this link: https://zenodo.org/record/8153733
Setup conda environment
$ conda create -n ccbert python=3.9
$ conda activate ccbert
$ pip install -r requirements.txt
Downstream tasks
JIT Defect prediction
$ cd sh
$ bash defect_jdt.sh
$ bash defect_platform.sh
$ bash defect_gerrit.sh
Patch Correctness Assessment
$ cd sh
$ bash patch_correctness.sh
Bug-fixing Commit Prediction
$ cd sh
$ bash bug_fix_commit.sh