REQUIREMENTS.md

Hardware Environment Requirement:

The experiment is performed on NVIDIA Tesla A100 with 128GB RAM on the Ubuntu system.

Software Environment Requirement:

We fully implement an analyzer to get SFG for a Java method on top of Spoon, and the analyzer supports modern Java versions up to Java 16. The explicit versioning information of python environment can be received in environment-cpu.yml and environment-gpu.yml.

Requirements

• Conda

  • install conda: https://conda.io/projects/conda/en/latest/user-guide/install/index.html
  • Create a new conda environment:
    • if you are running with GPU:

      conda env create -f environment-gpu.yml
      conda activate semanticcodebert
      

      Dependencies include support for CUDA_11.4. If you are using a different CUDA version update the dependencies accordingly.
    • if you are running with CPU:

      conda env create -f environment-cpu.yml
      conda activate semanticcodebert
      

• Dataset

  • Download dataset.zip from https://drive.google.com/file/d/1ReVzBC-1WSciPgKH0Shz6pPEkueTeA0I/view?usp=sharing
  • Put dataset.zip in the main directory and unzip

• SemanticCodeBERT

  • Download SemanticCodeBERT.zip from https://drive.google.com/drive/folders/1xsQothDM9Wfg7piPG5CwCKhlivq5QXfG?usp=sharing
  • Put SemanticCodeBERT.zip in the main directory and unzip

• BERTOverflow

  • Download BERTOverflow.zip from https://drive.google.com/drive/folders/1xsQothDM9Wfg7piPG5CwCKhlivq5QXfG?usp=sharing
  • Put BERTOverflow.zip in the main directory and unzip