Which Source Code Plagiarism Detection Approach is More Humane?

September 23, 2018 Β· Declared Dead Β· πŸ› International Conference on Awareness Science and Technology

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Authors Oscar Karnalim, Lisan Sulistiani arXiv ID 1809.08559 Category cs.SE: Software Engineering Cross-listed cs.HC Citations 4 Venue International Conference on Awareness Science and Technology Last Checked 4 months ago
Abstract
This paper contributes in developing source code plagiarism detection that is more aligned with human perspective. Three evaluation mechanisms that directly relate human perspective with evaluated approaches are proposed: think-aloud, aspect-oriented, and empirical mechanism. Using those mechanisms, a comparative study toward attribute-and structure-based plagiarism detection approach (i.e., two popular approach categories in source code plagiarism detection) is conducted. According to that study, structure-based approach is more effective than the attribute-based one; its signature aspect and resulted similarity degrees are more related to human preferences. In addition, such approach is related to most human-oriented aspects for suspecting source code plagiarism.
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