Article

Recommending automated extract method refactorings

Authors:

Marco Tulio ValenteAuthors Info & Claims

ICPC 2014: Proceedings of the 22nd International Conference on Program Comprehension

Pages 146 - 156

https://doi.org/10.1145/2597008.2597141

Published: 02 June 2014 Publication History

Abstract

Extract Method is a key refactoring for improving program comprehension. However, recent empirical research shows that refactoring tools designed to automate Extract Methods are often underused. To tackle this issue, we propose a novel approach to identify and rank Extract Method refactoring opportunities that are directly automated by IDE-based refactoring tools. Our approach aims to recommend new methods that hide structural dependencies that are rarely used by the remaining statements in the original method. We conducted an exploratory study to experiment and define the best strategies to compute the dependencies and the similarity measures used by the proposed approach. We also evaluated our approach in a sample of 81 extract method opportunities generated for JUnit and JHotDraw, achieving a precision of 48% (JUnit) and 38% (JHotDraw).

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Cited By

AlOmar EMkaouer MOuni A(2024)Behind the Intent of Extract Method Refactoring: A Systematic Literature ReviewIEEE Transactions on Software Engineering10.1109/TSE.2023.334580050:4(668-694)Online publication date: 4-Jan-2024
https://dl.acm.org/doi/10.1109/TSE.2023.3345800
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
Cui DWang QWang SChi JLi JWang LLi Q(2023)REMS: Recommending Extract Method Refactoring Opportunities via Multi-view Representation of Code Property Graph2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC)10.1109/ICPC58990.2023.00034(191-202)Online publication date: May-2023
https://doi.org/10.1109/ICPC58990.2023.00034
Show More Cited By

Index Terms

Recommending automated extract method refactorings
1. Software and its engineering
  1. Software creation and management
    1. Designing software
  2. Software notations and tools
    1. Development frameworks and environments

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Published In

cover image ACM Conferences

ICPC 2014: Proceedings of the 22nd International Conference on Program Comprehension

June 2014

325 pages

ISBN:9781450328791

DOI:10.1145/2597008

General Chair:
Chanchal K. Roy
University of Saskatchewan, Canada
,
Program Chairs:
Andrew Begel
Microsoft Research, USA
,
Leon Moonen
Simula Research Laboratory, Norway

Copyright © 2014 ACM.

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Published: 02 June 2014

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June 2 - 3, 2014

Hyderabad, India

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Cited By

AlOmar EMkaouer MOuni A(2024)Behind the Intent of Extract Method Refactoring: A Systematic Literature ReviewIEEE Transactions on Software Engineering10.1109/TSE.2023.334580050:4(668-694)Online publication date: 4-Jan-2024
https://dl.acm.org/doi/10.1109/TSE.2023.3345800
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
Cui DWang QWang SChi JLi JWang LLi Q(2023)REMS: Recommending Extract Method Refactoring Opportunities via Multi-view Representation of Code Property Graph2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC)10.1109/ICPC58990.2023.00034(191-202)Online publication date: May-2023
https://doi.org/10.1109/ICPC58990.2023.00034
AlOmar EIvanov AKurbatova ZGolubev YMkaouer MOuni ABryksin TNguyen LKini AThakur A(2023)Just-in-time code duplicates extractionInformation and Software Technology10.1016/j.infsof.2023.107169158(107169)Online publication date: Jun-2023
https://doi.org/10.1016/j.infsof.2023.107169
Ardalani AParsa SZakeri-Nasrabadi MChatzigeorgiou A(2023)Supporting single responsibility through automated extract method refactoringEmpirical Software Engineering10.1007/s10664-023-10427-329:1Online publication date: 22-Dec-2023
https://doi.org/10.1007/s10664-023-10427-3
Zhang YGuan KFang L(2023)MIRROR: multi-objective refactoring recommendation via correlation analysisAutomated Software Engineering10.1007/s10515-023-00400-131:1Online publication date: 21-Oct-2023
https://doi.org/10.1007/s10515-023-00400-1
Leandro OGheyi RTeixeira LRibeiro MGarcia A(2022)A Technique to Test Refactoring Detection ToolsProceedings of the XXXVI Brazilian Symposium on Software Engineering10.1145/3555228.3555246(188-197)Online publication date: 5-Oct-2022
https://dl.acm.org/doi/10.1145/3555228.3555246
Tiwari OJoshi R(2022)Identifying Extract Method RefactoringsProceedings of the 15th Innovations in Software Engineering Conference10.1145/3511430.3511435(1-11)Online publication date: 24-Feb-2022
https://dl.acm.org/doi/10.1145/3511430.3511435
Shahidi MAshtiani MZakeri-Nasrabadi M(2022)An automated extract method refactoring approach to correct the long method code smellJournal of Systems and Software10.1016/j.jss.2022.111221187:COnline publication date: 12-May-2022
https://dl.acm.org/doi/10.1016/j.jss.2022.111221
Machado JPaula‐Sobrinho EMaia M(2022)Anti‐bloater class restructuringJournal of Software: Evolution and Process10.1002/smr.243134:3Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1002/smr.2431
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