JPlag
JPlag is one of the most popular source code plagiarism detection systems worldwide.
Description
JPlag is a state-of-the-art source code plagiarism detector. It allows one to check a set of programs for suspicious similarities and thus helps its users tackle plagiarism detection at scale in an ethical way. JPlag compares the structure of the programs by extracting an abstraction layer from their parse trees. Thus, it is resilient to attempts to obfuscate the plagiarism. JPlag offers a powerful graphical interface to analyze its result, allowing to detect outliers and trace similarities between pairs of suspicious programs. Furthermore, JPlag is open-source and can be executed locally, thus complying with the GDPR.
JPlag was created in 1996 and is still actively developed and maintained at Karlsruhe Institute of Technology (KIT). JPlag supports Java, C#, C, C++, Python, Javascript, Typescript, Go, R, Rust, Kotlin, Swift, Scala, and other languages.
Explore Further
- Try out our Demo.
- Read more in the JPlag Wiki.
- Download the newest release here.
- Read about our newest research.
- Feel free to contact us: jplag@ipd.kit.edu
UI Showcase
The overview shows a similarity distribution and top list for all comparisons to identify suspicious outliers:
The comparisons view allows inspecting a comparison in detail and analyzing what code segments match:
The cluster view helps to understand group dynamics and complex relations between multiple programs:
- Other 2%
- GPL-3.0-only
Participating organisations
Reference papers
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- 4.Author(s): Timur Sağlam, Moritz Brödel, Larissa Schmid, Sebastian HahnerPublished in Proceedings of the IEEE/ACM 46th International Conference on Software Engineering by ACM in 2024, page: 1-1310.1145/3597503.3639192
- 5.Author(s): Timur Sağlam, Sebastian Hahner, Larissa Schmid, Erik BurgerPublished in Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training by ACM in 2024, page: 297-30810.1145/3639474.3640084
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- 7.Author(s): Timur Sağlam, Sebastian Hahner, Jan Willem Wittler, Thomas KühnPublished in Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings by ACM in 2022, page: 138-14110.1145/3550356.3556508
- 1.Author(s): Larissa Schmid, Sebastian Hahner, Timur SağlamPublished by Gesellschaft für Informatik, Bonn in 202510.18420/se2025-30
- 2.Author(s): Timur Sağlam, Larissa SchmidPublished by arXiv in 202510.48550/arxiv.2505.20158
- 3.Published by Verlag der Technischen Universität Graz in 200210.3217/jucs-008-11-1016
Mentions
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