Article

Improving evolvability through refactoring

Authors:

Jacek Ratzinger,

Michael Fischer,

Harald GallAuthors Info & Claims

MSR '05: Proceedings of the 2005 international workshop on Mining software repositories

Pages 1 - 5

https://doi.org/10.1145/1083142.1083155

Published: 17 May 2005 Publication History

Abstract

Refactoring is one means of improving the structure of existing software. Locations for the application of refactoring are often based on subjective perceptions such as "bad smells", which are vague suspicions of design shortcomings. We exploit historical data extracted from repositories such as CVS and focus on change couplings: if some software parts change at the same time very often over several releases, this data can be used to point to candidates for refactoring. We adopt the concept of bad smells and provide additional change smells. Such a smell is hardly visible in the code, but easy to spot when viewing the change history. Our approach enables the detection of such smells allowing an engineer to apply refactoring on these parts of the source code to improve the evolvability of the software. For that, we analyzed the history of a large industrial system for a period of 15 months, proposed spots for refactorings based on change couplings, and performed them with the developers. After observing the system for another 15 months we finally analyzed the effectiveness of our approach. Our results support our hypothesis that the combination of change dependency analysis and refactoring is applicable and effective.

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Cited By

AlOmar EMkaouer MOuni AKessentini M(2019)On the Impact of Refactoring on the Relationship between Quality Attributes and Design Metrics2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)10.1109/ESEM.2019.8870177(1-11)Online publication date: Sep-2019
https://doi.org/10.1109/ESEM.2019.8870177
Kim MMeng NZhang T(2019)Software EvolutionHandbook of Software Engineering10.1007/978-3-030-00262-6_6(223-284)Online publication date: 12-Feb-2019
https://doi.org/10.1007/978-3-030-00262-6_6
Oizumi WSousa LOliveira AGarcia AAgbachi AOliveira RLucena C(2018)On the identification of design problems in stinky code: experiences and tool supportJournal of the Brazilian Computer Society10.1186/s13173-018-0078-y24:1Online publication date: 22-Oct-2018
https://doi.org/10.1186/s13173-018-0078-y
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Improving evolvability through refactoring

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Published In

cover image ACM Other conferences

MSR '05: Proceedings of the 2005 international workshop on Mining software repositories

May 2005

109 pages

ISBN:1595931236

DOI:10.1145/1083142

ACM SIGSOFT Software Engineering Notes Volume 30, Issue 4
July 2005
1514 pages
ISSN:0163-5948
DOI:10.1145/1082983
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Copyright © 2005 Authors.

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Association for Computing Machinery

New York, NY, United States

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Published: 17 May 2005

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Cited By

AlOmar EMkaouer MOuni AKessentini M(2019)On the Impact of Refactoring on the Relationship between Quality Attributes and Design Metrics2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)10.1109/ESEM.2019.8870177(1-11)Online publication date: Sep-2019
https://doi.org/10.1109/ESEM.2019.8870177
Kim MMeng NZhang T(2019)Software EvolutionHandbook of Software Engineering10.1007/978-3-030-00262-6_6(223-284)Online publication date: 12-Feb-2019
https://doi.org/10.1007/978-3-030-00262-6_6
Oizumi WSousa LOliveira AGarcia AAgbachi AOliveira RLucena C(2018)On the identification of design problems in stinky code: experiences and tool supportJournal of the Brazilian Computer Society10.1186/s13173-018-0078-y24:1Online publication date: 22-Oct-2018
https://doi.org/10.1186/s13173-018-0078-y
Fornaia AMongiovi MPappalardo GTramontana E(2018)Program Analysis and Graph Pattern Matching to Reveal Modularity and Potential for Parallelism2018 25th Asia-Pacific Software Engineering Conference (APSEC)10.1109/APSEC.2018.00083(648-652)Online publication date: Dec-2018
https://doi.org/10.1109/APSEC.2018.00083
Guimarães EVidal SGarcia ADiaz Pace JMarcos C(2018)Exploring architecture blueprints for prioritizing critical code anomalies: Experiences and tool supportSoftware: Practice and Experience10.1002/spe.256348:5(1077-1106)Online publication date: 2-Feb-2018
https://doi.org/10.1002/spe.2563
Oizumi WSousa LGarcia AOliveira ROliveira AAgbachi OLucena CTrinta FFilho MAndrade RRibeiro M(2017)Revealing design problems in stinky codeProceedings of the 11th Brazilian Symposium on Software Components, Architectures, and Reuse10.1145/3132498.3132514(1-10)Online publication date: 18-Sep-2017
https://dl.acm.org/doi/10.1145/3132498.3132514
Wang LWang XWu D(2017)Correlation between Complex Network Features and Robustness in Linux Kernel Modules2017 International Conference on Software Analysis, Testing and Evolution (SATE)10.1109/SATE.2017.18(80-89)Online publication date: Nov-2017
https://doi.org/10.1109/SATE.2017.18
Gopalakrishnan RSharma PMirakhorli MGalster MUchitel SOrso ARobillard M(2017)Can latent topics in source code predict missing architectural tactics?Proceedings of the 39th International Conference on Software Engineering10.1109/ICSE.2017.10(15-26)Online publication date: 20-May-2017
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Wang CHirasawa STakizawa HKobayashi H(2015)Identification and Elimination of Platform-Specific Code Smells in High Performance Computing ApplicationsInternational Journal of Networking and Computing10.15803/ijnc.5.1_1805:1(180-199)Online publication date: 2015
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Malhotra R(2015)ReferencesEmpirical Research in Software Engineering10.1201/b19292-15(445-458)Online publication date: 29-Sep-2015
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