PCART Evaluation

This repository contains the evaluation results of PCART, assessing its API compatibility detection and repair capabilities across different datasets and scenarios.

📂 Directory Overview

• RQ1_and_RQ2/
  Evaluates PCART's performance on API parameter compatibility detection and repair.

  • Uses the PCBench and MLCatchUp datasets.
  • Compares PCART against MLCatchUp and Relancer.
  • Evaluates PCART's ability to extract complex API invocation patterns

• RQ3/
  Assesses PCART's effectiveness in real-world Python projects.

  • Evaluated on 30 real projects collected from GitHub.

• RQ4/
  Compares ChatGPT (GPT-4o) vs. PCART on API compatibility detection and repair.

  • Uses 58 test cases from PCBench (29 compatible, 29 incompatible).

• RQ5/
  Measures PCART's runtime efficiency.

  • Computes the average runtime per API processed across test cases.

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📌 Notes

• Each directory contains corresponding experiment results and analysis.
• For detailed evaluation metrics and results, refer to the PCART research paper:
  📄 PCART: Automated Repair of Python API Parameter Compatibility Issues

🎉 Happy Researching with PCART! 🚀