Cart (Loading....) | Create Account
Close category search window
 

Using multivariate time series and association rules to detect logical change coupling: An empirical study

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
$31 $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

4 Author(s)
Canfora, G. ; Dept. of Eng.-RCOST, Univ. of Sannio, Benevento, Italy ; Ceccarelli, M. ; Cerulo, L. ; Di Penta, M.

In recent years, techniques based on association rules discovery have been extensively used to determine change-coupling relations between artifacts that often changed together. Although association rules worked well in many cases, they fail to capture logical coupling relations between artifacts modified in subsequent change sets. To overcome such a limitation, we propose the use of multivariate time series analysis and forecasting, and in particular the use of Granger causality test, to determine whether a change occurred on a software artifact was consequentially related to changes occurred on some other artifacts. Results of an empirical study performed on four Java and C open source systems show that Granger causality test is able to provide a set of change couplings complementary to association rules, and a hybrid recommender built combining recommendations from association rules and Granger causality is able to achieve a higher recall than the two single techniques.

Published in:

Software Maintenance (ICSM), 2010 IEEE International Conference on

Date of Conference:

12-18 Sept. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.