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
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.
Resources
Members
Jonathan Y. H. Poon (Alumni Undergraduate Student)
- [insert_php] echo get_avatar( $id_or_email=’sugiyama@comp.nus.edu.sg’, $size=30 ); [/insert_php] Kazunari Sugiyama (Advisor and Professor)
Yee Fan Tan (Alumni Graduate Student)
Jesse Gozali (Alumni Graduate Student)
Jun-Ping Ng (Alumni Graduate Student)
- [insert_php] echo get_avatar( $id_or_email=’kanmy@comp.nus.edu.sg’, $size=30 ); [/insert_php] Min-Yen Kan (Advisor and Professor)