Article

Are refactorings less error-prone than other changes?

Authors:

Peter Weißgerber,

Stephan DiehlAuthors Info & Claims

MSR '06: Proceedings of the 2006 international workshop on Mining software repositories

Pages 112 - 118

https://doi.org/10.1145/1137983.1138011

Published: 22 May 2006 Publication History

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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.

References

[1]

G. Antoniol, M. D. Penta, and E. Merlo. An automatic approach to identify class evolution discontinuities. In Proceedings of 7th International Workshop on Principles of Software Evolution (IWPSE 2004), 6-7 September, Kyoto, Japan, pages 31--40. IEEE Computer Society, 2004.

Digital Library

Google Scholar

[2]

S. Demeyer, S. Ducasse, and O. Nierstrasz. Finding refactorings via change metrics. In Proceedings of the 2000 ACM SIGPLAN Conference on Object-Oriented Programming Systems, Languages & Applications (OOPSLA 2000), pages 166--177, Minneapolis, Minnesota, USA, 2000. ACM Press.

Digital Library

Google Scholar

[3]

D. Dig and R. Johnson. The role of refactorings in API evolution. In Proceedings of the 21st IEEE International Conference on Software Maintenance (ICSM 2005), pages 389--398, Budapest, Hungary, 2005. IEEE Computer Society.

Digital Library

Google Scholar

[4]

M. W. Godfrey and L. Zou. Using origin analysis to detect merging and splitting of source code entities. IEEE Transactions on Software Engineering, 31(2):166--181, 2005.

Digital Library

Google Scholar

[5]

C. Görg and P. Weißgerber. Detecting and visualizing refactorings from software archives. In Proceedings of International Workshop on Program Comprehension (IWPC05), St. Louis, Missouri, USA, May 2005.

Digital Library

Google Scholar

[6]

C. Görg and P. Weißgerber. Error Detection by Refactoring Reconstruction. In Proceedings of International Workshop on Mining Software Repositories MSR 2005, St. Louis, Missouri, USA, May 2005.

Digital Library

Google Scholar

[7]

M. Stockman. ARGOUML statistics and diagrams homepage. http://user.tninet.se/~zaa397e/argouml/.

Google Scholar

[8]

The Eclipse Foundation. Eclipse Homepage. http://www.eclipse.org.

Google Scholar

[9]

T. Zimmermann and P. Weißgerber. Preprocessing CVS data for fine-grained analysis. In Proc. International Workshop on Mining Software Repositories (MSR04), Edinburgh, Scotland, UK, May 2004.

Digital Library

Google Scholar

Cited By

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Ksontini EAbid AKhalsi RKessentini MSpinellis DConstantinou EBacchelli A(2024)DRMiner: A Tool For Identifying And Analyzing Refactorings In DockerfileProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644921(584-594)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643991.3644921
Liu BLiu HNiu NZhang YLi GJiang YBissyandé TKlein JBird CSarro F(2023)Automated Software Entity Matching Between Successive VersionsProceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE56229.2023.00132(1615-1627)Online publication date: 11-Nov-2023
https://dl.acm.org/doi/10.1109/ASE56229.2023.00132
Gomes LCordeiro CAlves E(2022)Evaluating the Effectiveness of Regression Test Suites for Extract Method ValidationProceedings of the 7th Brazilian Symposium on Systematic and Automated Software Testing10.1145/3559744.3559745(1-8)Online publication date: 3-Oct-2022
https://dl.acm.org/doi/10.1145/3559744.3559745
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Index Terms

Are refactorings less error-prone than other changes?
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics
2. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis
        Software testing and debugging

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Information

Published In

MSR '06: Proceedings of the 2006 international workshop on Mining software repositories

May 2006

191 pages

ISBN:1595933972

DOI:10.1145/1137983

General Chairs:
Stephan Diehl
University Trier, Germany
,
Harald Gall
University of Zurich, Switzerland
,
Ahmed E. Hassan
Research in Motion RIM, Canada

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 May 2006

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ICSE06

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ICSE06: International Conference on Software Engineering

May 22 - 23, 2006

Shanghai, China

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Ksontini EAbid AKhalsi RKessentini MSpinellis DConstantinou EBacchelli A(2024)DRMiner: A Tool For Identifying And Analyzing Refactorings In DockerfileProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644921(584-594)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643991.3644921
Liu BLiu HNiu NZhang YLi GJiang YBissyandé TKlein JBird CSarro F(2023)Automated Software Entity Matching Between Successive VersionsProceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE56229.2023.00132(1615-1627)Online publication date: 11-Nov-2023
https://dl.acm.org/doi/10.1109/ASE56229.2023.00132
Gomes LCordeiro CAlves E(2022)Evaluating the Effectiveness of Regression Test Suites for Extract Method ValidationProceedings of the 7th Brazilian Symposium on Systematic and Automated Software Testing10.1145/3559744.3559745(1-8)Online publication date: 3-Oct-2022
https://dl.acm.org/doi/10.1145/3559744.3559745
Bagheri AHegedüs PLo DMcIntosh SNovielli N(2022)Is refactoring always a good egg?Proceedings of the 19th International Conference on Mining Software Repositories10.1145/3524842.3528034(117-121)Online publication date: 23-May-2022
https://dl.acm.org/doi/10.1145/3524842.3528034
Halepmollasi RTosun A(2022)Exploring the relationship between refactoring and code debt indicatorsJournal of Software: Evolution and Process10.1002/smr.2447Online publication date: 3-Mar-2022
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Kaur SKaur ADhiman G(2021)Deep analysis of quality of primary studies on assessing the impact of refactoring on software qualityMaterials Today: Proceedings10.1016/j.matpr.2020.11.217Online publication date: Jan-2021
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Di Penta MBavota GZampetti FDevanbu PCohen MZimmermann T(2020)On the relationship between refactoring actions and bugs: a differentiated replicationProceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3368089.3409695(556-567)Online publication date: 8-Nov-2020
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Spasić MJaničić M(2020)Verification supported refactoring of embedded sqlSoftware Quality Journal10.1007/s11219-020-09517-yOnline publication date: 18-Jun-2020
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Mahmoudi MNadi STsantalis N(2019)Are Refactorings to Blame? An Empirical Study of Refactorings in Merge Conflicts2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER.2019.8668012(151-162)Online publication date: Feb-2019
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