A Source Code Plagiarism Detecting Method Using Sequence Alignment with Abstract Syntax Tree Elements

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 c...

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Bibliographic Details
Published inInternational journal of software innovation Vol. 3; no. 3; pp. 41 - 56
Main Authors Kikuchi, Hiroshi, Goto, Takaaki, Wakatsuki, Mitsuo, Nishino, Tetsuro
Format Journal Article
LanguageEnglish
Published Mount Pleasant IGI Global 01.07.2015
Subjects
Algorithms
Computer science
Copying
Copyright
Dynamic programming
Engineering
Informatics
Plagiarism
Software
Source code
Students
Japan
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Summary: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, the authors propose a plagiarism detection method which is not influenced by changing the identifier or program statement order. The authors also explain our method's capabilities by comparing it to the sim plagiarism detector. Furthermore, the authors reveal how our method successfully detects the presence of plagiarism.
ISSN:2166-7160
2166-7179
DOI:10.4018/IJSI.2015070104