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arXiv: 1912.08138
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
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
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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