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Multiresolution analysis of source code using discrete wavelet transform

Publication Type : Journal Article

Thematic Areas : Center for Computational Engineering and Networking (CEN)

Publisher : International Journal of Applied Engineering Research

Source : International Journal of Applied Engineering Research, Volume 9, Number 22, p.13341-13360 (2014)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84913554180&partnerID=40&md5=986d6929466bfe51ce8a341e5b58dfa1

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Electronics and Communication

Year : 2014

Abstract : In this paper, we propose a method to analyze source code files at multiple resolutions using Discrete Wavelet Transform (DWT) and hence detect plagiarisms in source code files written in C, C++ and Java. Multiresolution analysis of source code files using DWT helps to identify files which are highly similar. On applying DWT distinct clusters of potentially plagiarized files are identified. Further comparison of the potentially plagiarized files can be done using a more reliable and structure-based code similarity detection technique to isolate plagiarized files. Selection of proper wavelet and an optimum level of decomposition can improve the performance of the system to a great extent. © Research India Publications.

Cite this Research Publication : N. G. Resmi and Dr. Soman K. P., “Multiresolution analysis of source code using discrete wavelet transform”, International Journal of Applied Engineering Research, vol. 9, pp. 13341-13360, 2014.

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