research-article

An exploratory study on extract method floss-refactoring

Authors:

Jaziel S. Moreira,

Everton L. G. Alves,

Wilkerson L. AndradeAuthors Info & Claims

SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing

Pages 1532 - 1539

https://doi.org/10.1145/3341105.3373893

Published: 30 March 2020 Publication History

Abstract

As a software evolves its code requires constant updating. In this sense, refactoring edits aim at improving structural aspects of a code without changing its external behavior. However, studies show that developers tend to combine in a single commit refactorings and behavior-changing edits (extra edits) - floss-refactoring. Floss-refactorings can be error-prone and require careful handling. However, little has been done to understand how refactorings and extra edits relate in practice. In this work, we propose a strategy for extracting floss-refactoring data. Moreover, we mine code repositories of 16 open-source projects and analyse commits with floss refactoring related to Extract Method. Our results show that developers often combine Extract Method with inner method extra edits (e.g., statement insert), with an expected increase of 8-16% of extra edits by each Extract Method. Moreover, some statements are more likely to be changed depending on the extra edit performed.

References

[1]

E. L. G. Alves, M. Song, T. Massoni, P. D. L. Machado, and M. Kim. 2018. Refactoring Inspection Support for Manual Refactoring Edits. IEEE Transactions on Software Engineering 44, 4 (April 2018), 365--383.

[2]

Gabriele Bavota, Bernardino De Carluccio, Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, and Orazio Strollo. 2012. When Does a Refactoring Induce Bugs? An Empirical Study. In Proceedings of the 2012 IEEE 12th International Working Conference on Source Code Analysis and Manipulation (SCAM '12). IEEE Computer Society, Washington, DC, USA, 104--113.

Digital Library

[3]

FlÃαvia Coelho, Tiago Massoni, and Everton Alves. 2019. Refactoring-Aware Code Review: A Systematic Mapping Study. In Proceedings of 3rd International Workshop on Refactoring.

[4]

Jean-Rémy Falleri, Floréal Morandat, Xavier Blanc, Matias Martinez, and Martin Monperrus. 2014. Fine-grained and Accurate Source Code Differencing. In Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering (ASE '14). ACM, New York, NY, USA, 313--324.

Digital Library

[5]

B. Fluri, M. Wuersch, M. PInzger, and H. Gall. 2007. Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction. IEEE Transactions on Software Engineering 33, 11 (Nov 2007), 725--743.

Digital Library

[6]

Martin Fowler. 1999. Refactoring: Improving the Design of Existing Code. Addison-Wesley, Boston, MA, USA.

Digital Library

[7]

X. Ge, Q. L. DuBose, and E. Murphy-Hill. 2012. Reconciling manual and automatic refactoring. In 2012 34th International Conference on Software Engineering (ICSE). 211--221.

[8]

X. Ge, S. Sarkar, J. Witschey, and E. Murphy-Hill. 2017. Refactoring-aware code review. In 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). 71--79.

[9]

Joseph M. Hilbe. 2014. Modeling Count Data. Cambridge University Press.

[10]

M. Kaya, S. Conley, Z. S. Othman, and A. Varol. 2018. Effective software refactoring process. In 2018 6th International Symposium on Digital Forensic and Security (ISDFS). 1--6.

[11]

Miryung Kim, Dongxiang Cai, and Sunghun Kim. 2011. An Empirical Investigation into the Role of API-level Refactorings During Software Evolution. In Proceedings of the 33rd International Conference on Software Engineering (ICSE '11). ACM, New York, NY, USA, 151--160.

Digital Library

[12]

Miryung Kim, Thomas Zimmermann, and Nachiappan Nagappan. 2012. A Field Study of Refactoring Challenges and Benefits. In Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering (FSE '12). ACM, New York, NY, USA, Article 50, 11 pages.

Digital Library

[13]

Nikolaos Mittas, Makrina Viola Kosti, Vasiliki Argyropoulou, and Lefteris Angelis. 2010. Modeling the Relationship Between Software Effort and Size Using Deming Regression. In Proc. of the 6th International Conference on Predictive Models in Software Engineering (PROMISE '10). ACM, New York, NY, USA, Article 7, 10 pages.

Digital Library

[14]

Emerson Murphy-Hill, Chris Parnin, and Andrew P. Black. 2009. How We Refactor, and How We Know It. In Proceedings of the 31st International Conference on Software Engineering (ICSE '09). IEEE Computer Society, Washington, DC, USA, 287--297.

Digital Library

[15]

Stas Negara, Nicholas Chen, Mohsen Vakilian, Ralph E. Johnson, and Danny Dig. 2013. A Comparative Study of Manual and Automated Refactorings. In Proceedings of the 27th European Conference on Object-Oriented Programming (ECOOP'13). Springer-Verlag, Berlin, Heidelberg, 552--576.

Digital Library

[16]

Fabio Palomba, Andy Zaidman, Rocco Oliveto, and Andrea De Lucia. 2017. An Exploratory Study on the Relationship Between Changes and Refactoring. In Proceedings of the 25th International Conference on Program Comprehension (ICPC '17). IEEE Press, Piscataway, NJ, USA, 176--185.

Digital Library

[17]

Peter Peduzzi, John Concato, Elizabeth Kemper, Theodore R Holford, and Alvan R Feinstein. 1996. A simulation study of the number of events per variable in logistic regression analysis. Journal of clinical epidemiology 49, 12 (1996), 1373--1379.

[18]

K. Prete, N. Rachatasumrit, N. Sudan, and M. Kim. 2010. Template-based reconstruction of complex refactorings. In 2010 IEEE International Conference on Software Maintenance. 1--10.

Digital Library

[19]

Danilo Silva, Nikolaos Tsantalis, and Marco Tulio Valente. 2016. Why We Refactor? Confessions of GitHub Contributors. In Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE 2016). ACM, New York, NY, USA, 858--870.

Digital Library

[20]

Danilo Silva and Marco Tulio Valente. 2017. RefDiff: Detecting Refactorings in Version Histories. In Proc. of the 14th International Conference on Mining Software Repositories (MSR '17). IEEE Press, Piscataway, NJ, USA, 269--279.

Digital Library

[21]

G. Soares, B. Catao, C. Varjao, S. Aguiar, R. Gheyi, and T. Massoni. 2011. Analyzing Refactorings on Software Repositories. In 2011 25th Brazilian Symposium on Software Engineering. 164--173.

Digital Library

[22]

G. Soares, R. Gheyi, D. Serey, and T. Massoni. 2010. Making Program Refactoring Safer. IEEE Software 27, 4 (July 2010), 52--57.

Digital Library

[23]

Nikolaos Tsantalis, Matin Mansouri, Laleh M. Eshkevari, Davood Mazinanian, and Danny Dig. 2018. Accurate and Efficient Refactoring Detection in Commit History. In Proc. of the 40th Int. Conference on Software Engineering (ICSE '18). ACM, New York, NY, USA, 483--494.

Digital Library

Cited By

Oliveira DAssunção WGarcia ABibiano ARibeiro MGheyi RFonseca BGrundy JPollock LPenta M(2023)The Untold Story of Code Refactoring Customizations in PracticeProceedings of the 45th International Conference on Software Engineering10.1109/ICSE48619.2023.00021(108-120)Online publication date: 14-May-2023
https://dl.acm.org/doi/10.1109/ICSE48619.2023.00021
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
Lucena ESilva IMonteiro SMoura FVasconcellos A(2021)Accumulated precipitation and air density are linked to termite (Blattodea) flight synchronism in a Seasonally Dry Tropical Forest in north‐eastern BrazilAustral Entomology10.1111/aen.1257761:1(78-85)Online publication date: Dec-2021
https://doi.org/10.1111/aen.12577

Index Terms

An exploratory study on extract method floss-refactoring
1. Software and its engineering
  1. Software creation and management
    1. Software post-development issues

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cover image ACM Conferences

SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing

March 2020

2348 pages

ISBN:9781450368667

DOI:10.1145/3341105

Conference Chairs:
Chih-Cheng Hung
Kennesaw State University
,
Tomas Cerny
Baylor University
,
Program Chairs:
Dongwan Shin
New Mexico Tech
,
Alessio Bechini
University of Pisa, Italy

Copyright © 2020 ACM.

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 March 2020

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National Council for Scientific and Technological Development (CNPq)/Brazil

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SAC '20

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SIGAPP

SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing

March 30 - April 3, 2020

Brno, Czech Republic

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Cited By

Oliveira DAssunção WGarcia ABibiano ARibeiro MGheyi RFonseca BGrundy JPollock LPenta M(2023)The Untold Story of Code Refactoring Customizations in PracticeProceedings of the 45th International Conference on Software Engineering10.1109/ICSE48619.2023.00021(108-120)Online publication date: 14-May-2023
https://dl.acm.org/doi/10.1109/ICSE48619.2023.00021
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
Lucena ESilva IMonteiro SMoura FVasconcellos A(2021)Accumulated precipitation and air density are linked to termite (Blattodea) flight synchronism in a Seasonally Dry Tropical Forest in north‐eastern BrazilAustral Entomology10.1111/aen.1257761:1(78-85)Online publication date: Dec-2021
https://doi.org/10.1111/aen.12577

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