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An Efficient New Multi-Language Clone Detection Approach from Large Source Code
Saif Ur Rehman1; Kamran Khan1; Simon Fong2; Robert Biuk-Aghai2
2012-12-13
Conference Name2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Source PublicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Pages937-940
Conference Date14-17 Oct. 2012
Conference PlaceSeoul, South Korea
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

In software engineering, the concept of code reuse is very common. Code reuse is the concept of copying and pasting the code in multiple places in the same software or different software without modification. This practice may reduce software maintainability and give rise to serious maintenance problems. In the last few decades numerous code clone detection techniques and tools have been proposed for capturing duplicated redundant code. Each of these techniques attempts to find out the duplicated code, which is also known as software clone. These techniques include Kclone, CP-Miner, CC-Finder, CReN etc. The objective of those researches is the exploration of various clone detection techniques and tools proposed so far. In this study, we propose an efficient clone detection technique which is used to detect clones in various programming languages. We have endeavored to improve performance and overcome the key problem of detecting clones in only one language. The proposed technique has been evaluated using two-dimensional array which has exhibited a faster method of storing and identification of clones in source code. We are also working on some of its future directions including the removal of the clones detected from the source code. 

KeywordSoftware Engineering Collaborative Programming Code Reuse Code Clone Detection Techniques
DOI10.1109/ICSMC.2012.6377848
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Cybernetics ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000316869201008
Scopus ID2-s2.0-84872379189
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSaif Ur Rehman
Affiliation1.Department of Computer Science Shaheed Zulifiqar Ali Bhutto Institute of Science and Technology (SZABIST) Islamabad, Pakistan
2.Department of Computer and Information Science Faculty of Science and Technology University of Macau Macau SAR, China
Recommended Citation
GB/T 7714
Saif Ur Rehman,Kamran Khan,Simon Fong,et al. An Efficient New Multi-Language Clone Detection Approach from Large Source Code[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2012, 937-940.
APA Saif Ur Rehman., Kamran Khan., Simon Fong., & Robert Biuk-Aghai (2012). An Efficient New Multi-Language Clone Detection Approach from Large Source Code. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 937-940.
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