• 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