Residential College | false |
Status | 已發表Published |
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 Name | 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) |
Source Publication | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
Pages | 937-940 |
Conference Date | 14-17 Oct. 2012 |
Conference Place | Seoul, South Korea |
Publisher | IEEE, 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. |
Keyword | Software Engineering Collaborative Programming Code Reuse Code Clone Detection Techniques |
DOI | 10.1109/ICSMC.2012.6377848 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Cybernetics ; Computer Science, Information Systems ; Engineering, Electrical & Electronic |
WOS ID | WOS:000316869201008 |
Scopus ID | 2-s2.0-84872379189 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Saif Ur Rehman |
Affiliation | 1.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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