Plagiarism Detection Framework: A Technique for Detecting Source Code Plagiarism

Authors

  • Ankur Nagaich M.Tech Scholar, Department of ECE, Shri Ram College of Engineering and Management, Gwalior, M.P., India
  • Anuj Bhargava Professor, Department of ECE, Shri Ram College of Engineering and Management, Gwalior, M.P., India
  • Prashant Badal Professor, Department of ECE, Shri Ram College of Engineering and Management, Gwalior, M.P., India

DOI:

https://doi.org/10.24113/ijoscience.v3i3.60

Keywords:

Source-Code, Programming Language, Plagiarism Detection, Textual Similarity

Abstract

Academic dishonesty is a universal problem. The educational community across the world is facing the increasing problem of plagiarism. This widespread problem has motivated the need of an efficient, robust and fast detection procedure that is difficult to be achieved manually. Detecting duplicated text among natural language artifacts is a well-documented task. However, performing similar analysis on source code presents unique problems. Source-code plagiarism detection in programming, concerns the identification of source-code files that contain similar and/or identical source-code fragments. In this paper, a brief discussion of source code Plagiarism is presented as well as comparative study of the application of various techniques in textual similarity processing on source code.

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References

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Published

03/31/2017

How to Cite

Nagaich, A., Bhargava, A., & Badal, P. (2017). Plagiarism Detection Framework: A Technique for Detecting Source Code Plagiarism. SMART MOVES JOURNAL IJOSCIENCE, 3(3), 1–5. https://doi.org/10.24113/ijoscience.v3i3.60

Issue

Vol. 3 No. 3 (2017): Volume III, Issue III March 2017

Section

Articles

License

Copyright (c) 2017 Ankur Nagaich, Anuj Bhargava, Prashant Badal

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