By Topic

An iterative, metric space based software clone detection approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zhuo Li ; Computer Science College, Zhejiang University, Hangzhou, China ; Jianling Sun

Metric space is a set with definition of distance between elements within this set. This paper introduces metric space into code clone detection, and uses the distance within a metric space to measure the similarity level of code. It proposes an iterative process of building up a metric space to detect clones in software system. Based on metric space which is derived from software metric, the clone detection can avail us of more convenience and flexibility. We also exercise the approach in a real industry project.

Published in:

Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on

Date of Conference:

23-25 June 2010