UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1810668


Registration ID:
186583

Page Number

389-399

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Title

Fast and Efficient Source Code Plagiarism Identification Based On Tokenization

Authors

Abstract

When a code fragment is copied by another software system for reusing purpose, this is known as cloning. The code that is copied called clone[1]. Clone Detection is a process that is used for detecting clones in a software system. Code cloning or software cloning makes the work of the programmers easier by reusing existing code. But it increases the maintenance cost. If any error is occurred in a code fragment that is cloned, then that error have to be removed from all cloned modules. So the code clone detection is very indispensable part of software engineering. There are so many techniques have been proposed for code clone detection. These are like Text based, Metric based, Token based, AST-based, and PDG-based. All these methods have some limitations. Some techniques take more time for clone detection like PDG and AST and some need to improve the efficiency. So we proposed a tokenization based method in which Needleman Wunsch algorithm will be used for comparison of two source files with token values. Needleman Wunsch is a global sequence alignment method that is used for two end to end sequence alignments. It is based upon dynamic programming and also an optimal matching algorithm. It takes very less time for comparing two sequences and also identifying sequences with gaps efficiently as compared to previous technique of our base paper [2] in which Smith Waterman algorithm have used.

Key Words

Clone Detection, Clone fragment, code clone, Token value, Duplicate code

Cite This Article

"Fast and Efficient Source Code Plagiarism Identification Based On Tokenization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.389-399, October-2018, Available :http://www.jetir.org/papers/JETIR1810668.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Fast and Efficient Source Code Plagiarism Identification Based On Tokenization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp389-399, October-2018, Available at : http://www.jetir.org/papers/JETIR1810668.pdf

Publication Details

Published Paper ID: JETIR1810668
Registration ID: 186583
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 389-399
Country: Amritsar, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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