By Topic

Understanding Widespread Changes: A Taxonomic 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

3 Author(s)
Shaowei Wang ; Sch. of Inf. Syst., Singapore Manage. Univ., Singapore, Singapore ; Lo, D. ; Xingxiao Jiang

Many active research studies in software engineering, such as detection of recurring bug fixes, detection of copy-and-paste bugs, and automated program transformation tools, are motivated by the assumption that many code changes (e.g., changing an identifier name) in software systems are widespread to many locations and are similar to one another. However, there is no study so far that actually analyzes widespread changes in software systems. Understanding the nature of widespread changes could empirically support the assumption, which provides insight to improve the research studies and related tools. Our study in this paper addresses such a need. We propose a semi-automated approach that recovers code changes involving widespread changes in software systems. We further manually analyze more than nine hundred widespread changes recovered from eight software systems and categorize them into 11 families. These widespread changes and their associated families help us understand better why these widespread changes are made.

Published in:

Software Maintenance and Reengineering (CSMR), 2013 17th European Conference on

Date of Conference:

5-8 March 2013