run_instructions.txt

# CREATE ENVIRONMENT

  conda create -n Human_vs_AI python=3.9
  conda activate Human_vs_AI

  pip install -r requirements.txt

  alias pmd="$PWD/pmd-bin-7.16.0/bin/pmd"
  pmd [[to check whether it's working]]

# RUN PYTHON ANALYSES (Only example run on human written code, simply change field (e.g., dsc_code) to run on AI-generated code)

  ## Running Defects Analysis

    python 3_Code_Defects_Analysis/pylint_ODC.py
    python 3_Code_Defects_Analysis/process_pylint_results.py 

  ## Running Vulnerabilities Analysis

    python 4_Code_Security_Analysis/run_semgrep_python.py 1_dataset_sample_100/python_dataset.jsonl
    python 4_Code_Security_Analysis/process_semgrep_results_python.py python_dataset_semgrep_results_batch 1 

  ## Running Complexity Analysis

    python 5_Code_Complexity_Analysis/complexity_stats_python.py

# RUN JAVA ANALYSES (Only example run on human written code, simply change field (e.g., dsc_code) to run on AI-generated code)

  ## Running Defects Analysis

    mkdir java_human_temp
    python 3_Code_Defects_Analysis/wrap_java_functions.py 1_dataset_sample_100/java_dataset.jsonl

    bash 3_Code_Defects_Analysis/run_PMD_analysis.sh java_human_temp [[don't mind the "PMD failed" warning, it just means that some files contain syntax errors]]
    mkdir PMD_Human
    cd PMD_Human
    mkdir reports
    mkdir errors
    mv ../report_unique_* reports
    mv ../errors_unique_* errors
    python ../3_Code_Defects_Analysis/process_PMD_results.py

  ## Running Vulnerabilities Analysis

    cd ..
    python 4_Code_Security_Analysis/run_semgrep_java.py 1_dataset_sample_100/java_dataset.jsonl 100
    python 4_Code_Security_Analysis/process_semgrep_results_java.py semgrep_batches/1_dataset_sample_100/java_dataset.jsonl_semgrep_results_batch 1      

  ## Running Complexity Analysis

    python 5_Code_Complexity_Analysis/complexity_stats_java.py


# REMOVE ENVIRONMENT

  conda deactivate
  conda remove --name Human_vs_AI --all