{
  "id": 5252,
  "url": "https://arxiv.org/abs/2604.25778v1",
  "title": "Can Code Evaluation Metrics Detect Code Plagiarism?",
  "summary": "Source Code Plagiarism Detection (SCPD) plays an important role in maintaining fairness and academic integrity in software engineering education. Code Evaluation Metrics (CEMs) are developed for assessing code generation tasks. However, it remains unclear whether such metrics can reliably detect plagiarism across different levels of modification (L1-L6), increasing in complexity. In this paper, we perform a comparative empirical study using two open-source labelled datasets, ConPlag (raw and tem",
  "authors": "Fahad Ebrahim, Mike Joy",
  "category": "research",
  "topics": "bias-fairness,copyright-ip,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-28T15:45:44.000Z",
  "fetched_at": "2026-07-14T16:31:35.577Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5252",
  "original_url": "https://arxiv.org/abs/2604.25778v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}