Instructor-centric source code plagiarism detection and plagiarism corpus

作者：Jonathan Poon, Kazunari Sugiyama, Yee Fan Tan, Min‐Yen Kan · 年份：2012 · DOI：10.1145/2325296.2325328 · 被引用次数：27 · 研究领域：Academic integrity and plagiarism、Software Engineering Research、Imbalanced Data Classification Techniques

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.