Supplementary Material for "Towards Robust Plagiarism Detection in Programming Education: Introducing Tolerant Token Matching Techniques to Counter Novel Obfuscation Methods"

Supplementary Material for the paper "Towards Robust Plagiarism Detection in Programming Education: Introducing Tolerant Token Matching Techniques to Counter Novel Obfuscation Methods". We include the following artefacts: code: the implementation of our approach based on JPlag (code and jars) datasets: the student programs and obfuscated plagiarisms used in our evaluation gpt: the prompts and scripts used for the AI-based obfuscation and generation results: the raw result data of our evaluation