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Evidence record 5252 · automatically gathered

Can Code Evaluation Metrics Detect Code Plagiarism?

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

Record details

Published: 28 April 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Copyright & IP · Children & education
Retrieved: 14 July 2026

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Shared topic: Bias & fairness · Shared topic: Children & education

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How to cite this record

ethics.ai (28 April 2026), “Can Code Evaluation Metrics Detect Code Plagiarism?,” evidence record 5252, https://ethics.ai/record/5252 (originally published by arXiv).

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