Research Article

Source Code Plagiarism Detection SCPDet: A Review

by  Tapan P. Gondaliya, Hiren D. Joshi, Hardik Joshi
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Issue 17
Published: November 2014
Authors: Tapan P. Gondaliya, Hiren D. Joshi, Hardik Joshi
10.5120/18471-9897
PDF

Tapan P. Gondaliya, Hiren D. Joshi, Hardik Joshi . Source Code Plagiarism Detection SCPDet: A Review. International Journal of Computer Applications. 105, 17 (November 2014), 27-31. DOI=10.5120/18471-9897

                        @article{ 10.5120/18471-9897,
                        author  = { Tapan P. Gondaliya,Hiren D. Joshi,Hardik Joshi },
                        title   = { Source Code Plagiarism Detection SCPDet: A Review },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 105 },
                        number  = { 17 },
                        pages   = { 27-31 },
                        doi     = { 10.5120/18471-9897 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2014
                        %A Tapan P. Gondaliya
                        %A Hiren D. Joshi
                        %A Hardik Joshi
                        %T Source Code Plagiarism Detection SCPDet: A Review%T 
                        %J International Journal of Computer Applications
                        %V 105
                        %N 17
                        %P 27-31
                        %R 10.5120/18471-9897
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Internet has stored large amount of data, information [30] or source code. In this large amount of data or source code it is very difficult and time consuming task to find out the similarity or plagiarism in the source code, research publications in academic. [1] In this paper here we describe the some of the techniques and algorithms for how to find out the plagiarisms in source code. So in large organization or academic institute can easily find out the plagiarism in source code and research publications using this technique. We also differentiate all the techniques of plagiarism for find out how can one technique is differing then the other as well.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Plagiarism Source code Source code reuse Plagiarism Detection System

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