The rise of automated obfuscation techniques challenges the widespread assumption that evading a software plagiarism detector requires more effort than completing programming and modeling assignments in computer science education. This threatens plagiarism detectors without comprehensive obfuscation resilience and, ultimately, academic integrity. This paper summarizes recent enhancements of JPlag, a widely-used software plagiarism detector, enabling it to achieve broad resilience against automated obfuscation. The findings demonstrate that JPlag significantly outperforms the state-of-the-art in terms of obfuscation resilience.
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Sağlam et al. (2024) studied this question.
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