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APPLeSEEd Lab

Software Engineering Research Intern

June 2025 - Sept. 2025/University of Central Florida, Orlando, FL

Overview

Fine-tuned CodeBERT on Linux kernel commit data to classify security risk in software engineering research.

Python · CodeBERT · PyTorch · Machine Learning · CVE Data · Git

Highlights

  1. 01Fine-tuned CodeBERT on 10,000+ Linux kernel commits to build a commit risk classifier.
  2. 02Achieved F1 = 0.69 on unseen test data, demonstrating feasibility of AI-assisted commit analysis for software engineering.
  3. 03Labeled the dataset by linking git commits to public CVE records, enabling supervised training for security-risk classification.