A quantitative comparison of program plagiarism detection tools

Daniël Heres, Jurriaan Hage

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

In this work we compare a total of 9 different tools for the detection of source code plagiarism. We evaluated the plagiarism or copy detection tools CPD, JPlag, Sherlock, Marble, Moss, Plaggie and SIM and two baselines, one based on the Unix tool diff and one based on the difflib module from the Python Standard Library. We provide visualizations of the output of these tools and compare the performance of each tool when running it on different tasks by comparing both the F-measures and the area under the precision-recall-curve (AUC-PR). We compare the performance using these metrics on each task and identify the best performing tools.
Original languageEnglish
Title of host publicationProceedings of the 6th Computer Science Education Research Conference
Subtitle of host publicationCSERC '17
PublisherAssociation for Computing Machinery
Pages73-82
Number of pages10
ISBN (Print)9781450363389
DOIs
Publication statusPublished - 14 Nov 2017

Keywords

  • Empirical study
  • Program plagiarism detection
  • Quantitative comparison
  • Tools

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