Source Code Plagiarism Detection

Abstract

Existing source code plagiarism systems focus on the problem of identifying plagiarism between pairs of submissions.  The task of detection, while essential, is only a small part of managing plagiarism in an instructional setting. Holistic plagiarism detection and management requires coordination and sharing of assignment similarity — elevating plagiarism detection from pairwise similarity to cluster-based similarity; from a single assignment to a sequence of assignments in the same course, and even among instructors of different courses. To address these shortcomings, we have developed Student Submissions Integrity Diagnosis (SSID), an open-source system that provides holistic plagiarism detection in an instructor-centric way.

Publication

2012

Poon, Jonathan Y H; Sugiyama, Kazunari; Tan, Yee Fan; Kan, Min-Yen

Instructor-Centric Source Code Plagiarism Detection and Plagiarism Corpus Conference

Proceedings of the 17th Annual ACM SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE 2012), 2012.

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