DocumentCode
1796576
Title
A source code plagiarism detecting method using alignment with abstract syntax tree elements
Author
Kikuchi, Hiroaki ; Goto, Tetsu ; Wakatsuki, Mitsuo ; Nishino, Takanori
Author_Institution
Grad. Sch. of Inf. & Eng., Univ. of Electro-Commun., Chofu, Japan
fYear
2014
fDate
June 30 2014-July 2 2014
Firstpage
1
Lastpage
6
Abstract
Learning to program is an important subject in computer science courses. During programming exercises, plagiarism by copying and pasting can lead to problems for fair evaluation. Some methods of plagiarism detection are currently available, such as sim. However, because sim is easily influenced by changing the identifier or program statement order, it fails to do enough to support plagiarism detection. In this paper, we propose a plagiarism detection method which is not influenced by changing the identifier or program statement order. We also explain our method´s capabilities by comparing it to the sim plagiarism detector. Furthermore, we reveal how our method successfully detects the presence of plagiarism.
Keywords
computer science education; source code (software); trees (mathematics); abstract syntax tree elements; computer science courses; program statement order; sim plagiarism detector; source code plagiarism detection method; Abstracts; Educational institutions; Indexes; Plagiarism; Programming profession; Syntactics;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2014 15th IEEE/ACIS International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/SNPD.2014.6888733
Filename
6888733
Link To Document