EncCD : a framework for efficient detection of code clones
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 5 (30 Sep. 2019), pp.947-952, 6 p.
Publisher
Publication Date
2019-09-30
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Code clones represent similar snippets of code written for an application.
The detection of code clones is essential for maintenance of a software as modification to multiple snippets with a similar bug becomes cumbersome for a large software.
The clone detection techniques perform conventional parsing before final match detection.
An inefficient parsing mechanism however deteriorates performance of the overall clone detection mechanism.
In this paper, we propose a framework called Encoded Clone Detector (EncCD), which is based on encoded pipeline processing for efficiently detecting clones.
The proposed framework makes use of efficient labelled encoding followed by tokenization and match detection.
The experimentation performed on the Intel Core i7 and Intel Xeon processor based systems shows that the proposed EncCD framework outperforms the widely used JCCD and CCFinder frameworks by producing a significant performance improvement.
American Psychological Association (APA)
Khan, Minhaj. 2019. EncCD : a framework for efficient detection of code clones. The International Arab Journal of Information Technology،Vol. 16, no. 5, pp.947-952.
https://search.emarefa.net/detail/BIM-895114
Modern Language Association (MLA)
Khan, Minhaj. EncCD : a framework for efficient detection of code clones. The International Arab Journal of Information Technology Vol. 16, no. 5 (Sep. 2019), pp.947-952.
https://search.emarefa.net/detail/BIM-895114
American Medical Association (AMA)
Khan, Minhaj. EncCD : a framework for efficient detection of code clones. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 5, pp.947-952.
https://search.emarefa.net/detail/BIM-895114
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 951-952
Record ID
BIM-895114