e-ISSN : 0975-4024 p-ISSN : 2319-8613   
CODEN : IJETIY    

International Journal of Engineering and Technology

Home
IJET Topics
Call for Papers 2021
Author Guidelines
Special Issue
Current Issue
Articles in Press
Archives
Editorial Board
Reviewer List
Publication Ethics and Malpractice statement
Authors Publication Ethics
Policy of screening for plagiarism
Open Access Statement
Terms and Conditions
Contact Us

ABSTRACT

ISSN: 0975-4024

Title : An Effective Software Clone Detection Using Distance Clustering
Authors : D. Gayathri Devi, Dr.M.Punithavalli
Keywords : Metrics, Edit Distance, Detection, Code Clone, Fragment
Issue Date : Feb-Mar 2013
Abstract :
As the computer is a rapidly evolving, there is tremendous need of software development for different purpose. The complexity of software development differs, and the developers take the easier way of implementation by copying fragments which leads to code clone. This paper presents a technique for detecting code clone using fragment distance with clustering. First, we tokenize the source code into tokens. Second, by distance and clustering we find the similarity until all clusters are merged. Third, we evaluate and find the code fragments using distance cluster DC and finally, we provide the examples using distance.
Page(s) : 232-238
ISSN : 0975-4024
Source : Vol. 5, No.1