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

A Probabilistic Approach to Predict Changes in Object-Oriented Software Systems

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

2 Author(s)
Sharafat, A.R. ; Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont. ; Tahvildari, L.

Predicting the changes in the next release of a software system has become a quest during its maintenance phase. Such a prediction can help managers to allocate resources more appropriately which results in reducing costs associated with software maintenance activities. A measure of change-proneness of a software system also provides a good understanding of its architectural stability. This research work proposes a novel approach to predict changes in an object oriented software system. The rationale behind this approach is that in a well-designed software system, feature enhancement or corrective maintenance should affect a limited amount of existing code. The goal is to quantify this aspect of quality by assessing the probability that each class will change in a future generation. Our proposed probabilistic approach uses the dependencies obtained from the UML diagrams, as well as other data extracted from source code of several releases of a software system using reverse engineering techniques. The proposed systematic approach has been evaluated on a multi-version medium size open source project namely JFlex, the fast scanner generator for Java. The obtained results indicate the simplicity and accuracy of our approach in the comparison with existing methods in the literature

Published in:

Software Maintenance and Reengineering, 2007. CSMR '07. 11th European Conference on

Date of Conference:

21-23 March 2007

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.