Please use this identifier to cite or link to this item:
Title: Instructor-centric source code plagiarism detection and plagiarism corpus
Authors: Poon, J.Y.H.
Sugiyama, K. 
Tan, Y.F.
Kan, M.-Y. 
Keywords: corpus studies
plagiarism assessment
plagiarism detection
user interface
Issue Date: 2012
Citation: Poon, J.Y.H.,Sugiyama, K.,Tan, Y.F.,Kan, M.-Y. (2012). Instructor-centric source code plagiarism detection and plagiarism corpus. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE : 122-127. ScholarBank@NUS Repository.
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. SSID's visuals show overviews of plagiarism clusters throughout all assignments in a course as well as highlighting most-similar submissions on any specific student. SSID supports plagiarism detection workflows; e.g., allowing student assistants to flag suspicious assignments for later review and confirmation by an instructor with proper authority. Evidence is automatically entered into SSID's logs and shared among instructors. We have additionally collected a source code plagiarism corpus, which we employ to identify and correct shortcomings of previous plagiarism detection engines and to optimize parameter tuning for SSID deployment. Since its deployment, SSID's workflow enhancements have made plagiarism detection in our faculty less tedious and more successful. © 2012 ACM.
Source Title: Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
ISBN: 9781450312462
ISSN: 1942647X
DOI: 10.1145/2325296.2325328
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Nov 20, 2019

Page view(s)

checked on Oct 28, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.