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Article . 2019
License: CC BY
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https://dx.doi.org/10.48550/ar...
Article . 2019
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2019
Data sources: DBLP
mEDRA
Article . 2019
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Detection of a Source Code Plagiarism in a Student Programming Competition

Authors: Gniazdowski, Zenon; Boniecki, Maciej;

Detection of a Source Code Plagiarism in a Student Programming Competition

Abstract

The article presents a system for testing the independence of solutions to algorithmic problems sent by students as part of the student programming competition. First, the context was discussed, as well as the need to organize programming competitions resulting from this context. Then, an algorithm was proposed to study the mutual similarity of source codes of programs sent as part of a programming competition. Since, after implementation, the algorithm was used in practice, examples of its application for detecting the plagiarism of source codes of solutions in two programming competitions conducted as part of classes on Algorithms and Numerical Methods were also presented. Finally, the effectiveness of the solutions used in the work was discussed.

21 pages, 9 figures

Country
Poland
Keywords

similarity relation, FOS: Computer and information sciences, propensity to plagiarism, Levenshtein similarity, Levenshtein distance, QA75.5-76.95, source code plagiarism, levenshtein distance, levenshtein similarity, Software Engineering (cs.SE), Computer Science - Software Engineering, Electronic computers. Computer science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Published in a Diamond OA journal