Volume & Issue no: Volume 6, Issue 5, September - October 2017
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Title: |
Code Clone Detection Using COCOMO-1 |
Author Name: |
Ekta Manhas, Samriti Rana |
Abstract: |
Abstract: Now adays, Copy and Paste of code fragments has
been regularly practiced in development of software. Because of
limitations of time and lack of knowledge, the programmers use
the code strategy known as code cloning. Clones may cause
many problems that are the probability of errors and the
maintenance cost get increased. The modifications become
difficult because of clones. Therefore, the detection and
removal of clones is necessary. It has been observed that lot of
tools, techniques and classifiers have been already tried in the
concept of textual parameter code cloning detection, but there
are chances of improvement of the accuracy pattern of
classification in code cloning. So, the motive of this research
work is to enhance the accuracy of the system with reduction of
error rate using neural network classifier. In the proposed
work, ANN would be used that involves training of data.
Utilization of ANN has been done for code cloning as it
provides good training tool with robust results. The analysis has
been carried out in MATLAB environment and the metrics like
accuracy and error rate are calculated. The accuracy upto 95 %
have been obtained.
Keywords: Code clone, COCOMO-II, Neural Network,
Accuracy, Error rate |
Cite this article: |
Ekta Manhas, Samriti Rana , "
Code Clone Detection Using COCOMO-1 " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 6, Issue 5, September - October 2017 , pp.
190-195 , ISSN 2278-6856.
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