Are refactorings less error-prone than other changes?

Authors:
Peter Weißgerber;Stephan Diehl
Affiliations:
University of Trier, Trier, Germany;University of Trier, Trier, Germany
Venue:
Proceedings of the 2006 international workshop on Mining software repositories
Year:
2006

Citing 6
Cited 15

Finding refactorings via change metrics

OOPSLA '00 Proceedings of the 15th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
An Automatic Approach to identify Class Evolution Discontinuities

IWPSE '04 Proceedings of the Principles of Software Evolution, 7th International Workshop
Using Origin Analysis to Detect Merging and Splitting of Source Code Entities

IEEE Transactions on Software Engineering
Detecting and Visualizing Refactorings from Software Archives

IWPC '05 Proceedings of the 13th International Workshop on Program Comprehension
Error detection by refactoring reconstruction

MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
The Role of Refactorings in API Evolution

ICSM '05 Proceedings of the 21st IEEE International Conference on Software Maintenance

Threats on building models from CVS and Bugzilla repositories: the Mozilla case study

CASCON '07 Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
High velocity refactorings in Eclipse

Proceedings of the 2007 OOPSLA workshop on eclipse technology eXchange
A survey and taxonomy of approaches for mining software repositories in the context of software evolution

Journal of Software Maintenance and Evolution: Research and Practice
On the relation of refactorings and software defect prediction

Proceedings of the 2008 international working conference on Mining software repositories
Seven habits of a highly effective smell detector

Proceedings of the 2008 international workshop on Recommendation systems for software engineering
Is it a bug or an enhancement?: a text-based approach to classify change requests

CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
How we refactor, and how we know it

ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Gathering refactoring data: a comparison of four methods

Proceedings of the 2nd Workshop on Refactoring Tools
Comparison of similarity metrics for refactoring detection

Proceedings of the 8th Working Conference on Mining Software Repositories
An empirical investigation into the role of API-level refactorings during software evolution

Proceedings of the 33rd International Conference on Software Engineering
Identifying program, test, and environmental changes that affect behaviour

Proceedings of the 33rd International Conference on Software Engineering
A field study of refactoring challenges and benefits

Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
Comparing approaches to analyze refactoring activity on software repositories

Journal of Systems and Software
Drag-and-drop refactoring: intuitive and efficient program transformation

Proceedings of the 2013 International Conference on Software Engineering
System performance analyses through object-oriented fault and coupling prisms

Proceedings of the 5th ACM/SPEC international conference on Performance engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Refactorings are program transformations which should preserve the program behavior. Consequently, we expect that during phases when there are mostly refactorings in the change history of a system, only few new bugs are introduced. For our case study we analyzed the version histories of several open source systems and reconstructed the refactorings performed. Furthermore, we obtained bug reports from various sources depending on the system. Based on this data we identify phases when the above hypothesis holds and those when it doesn't.