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Plagiarism Detection Systems for Programming Assignments: Practical Considerations

Authors:
Maxim Mozgovoy
Evgeny Pyshkin

Keywords: Education; plagiarism; software; programming; exercises; online learning

Abstract:
We discuss a project contributing to the quality of software engineering education by producing a state of the art code duplication and plagiarism detection system, aimed at college and university teachers. Though detecting plagiarism (as unauthorized borrowings of code fragments) consumes time and energy of the teachers, ignoring this issue makes a negative impact on students' discipline and lowers motivation of course participants. While plagiarism detection in software code is a well-known research task, there are no open source modern plagiarism detection systems that are designed for actual classroom use by implementing state of the art detection techniques, convenient visualizations, integration with course management systems, and supporting common use case scenarios.

Pages: 16 to 18

Copyright: Copyright (c) IARIA, 2020

Publication date: October 18, 2020

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-827-3

Location: Porto, Portugal

Dates: from October 18, 2020 to October 22, 2020