Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
3-2013
Abstract
Many active research studies in software engineering, such as detection of recurring bug fixes, detection of copyand- 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.
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
2013 17th European Conference on Software Maintenance and Reengineering (CSMR 2013): Proceedings, Genova, Italy, 5-8 March 2013
First Page
5
Last Page
14
ISBN
9781467358330
Identifier
10.1109/CSMR.2013.11
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
WANG, Shaowei; LO, David; and JIANG, Lingxiao.
Understanding widespread changes: A taxonomic study. (2013). 2013 17th European Conference on Software Maintenance and Reengineering (CSMR 2013): Proceedings, Genova, Italy, 5-8 March 2013. 5-14.
Available at: https://ink.library.smu.edu.sg/sis_research/1685
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1109/CSMR.2013.11