A Comparison of Source Code Plagiarism Detection Engines

@article{Lancaster2004ACO,
  title={A Comparison of Source Code Plagiarism Detection Engines},
  author={Thomas Lancaster and Fintan Culwin},
  journal={Computer Science Education},
  year={2004},
  volume={14},
  pages={101-112}
}
Automated techniques for finding plagiarism in student source code submissions have been in use for over 20 years and there are many available engines and services. This paper reviews the literature on the major modern detection engines, providing a comparison of them based upon the metrics and techniques they deploy. Generally the most common and effective techniques are seen to involve tokenising student submissions then searching pairs of submissions for long common substrings, an example of… CONTINUE READING
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