DocumentCode :
2864269
Title :
A Program Plagiarism Detection Model Based on Information Distance and Clustering
Author :
Zhang, Liang ; Zhuang, Yue-ting ; Yuan, Zhen-ming
fYear :
2007
fDate :
11-13 Oct. 2007
Firstpage :
431
Lastpage :
436
Abstract :
Plagiarism in students programming assignment submissions causes considerable difficulties for course designers. Efficient detection of plagiarism in programming assignments of students is important to the educational procedure. This paper proposes a metric, based on information distance, to measure similarity between two programs. Furthermore, clustering analysis, based on shared near neighbors, is applied in order to provide more beneficial and detailed information about the program plagiarism. Experimental results demonstrate that our software has clear advantages over other plagiarism detection systems and it is quite beneficial to teachers to get rid of time-consuming and toilsome tasks. Key words: Program plagiarism, Detection, Information distance, Clustering
Keywords :
Collaborative work; Computer science; Counting circuits; Design engineering; Fingerprint recognition; Information analysis; Pervasive computing; Plagiarism; Programming profession; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Pervasive Computing, 2007. IPC. The 2007 International Conference on
Conference_Location :
Jeju City
Print_ISBN :
978-0-7695-3006-2
Type :
conf
DOI :
10.1109/IPC.2007.10
Filename :
4438470
Link To Document :
بازگشت