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What programmers say about refactoring tools?: an empirical investigation of stack overflow

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Gustavo H. Pinto, Fernando KameiAuthors Info & Claims

WRT '13: Proceedings of the 2013 ACM workshop on Workshop on refactoring tools

Pages 33 - 36

https://doi.org/10.1145/2541348.2541357

Published: 27 October 2013 Publication History

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Abstract

Programmers often use forums, such as StackOverflow, to easily and quickly solve their issues. Researchers then investigate those questions to better understand the state-of-use of software engineering techniques. Also, due to the quality and the great number questions and answers, the results found using such method might be difficult, or even impossible, to find using common survey techniques. In this study, we conducted a qualitative and quantitative research in order to categorize questions about refactoring tools. As a result, we presented a comprehensive classification of flaws and desirable features in refactoring tools. We also reported that programmers do not often rely on refactoring tools, but, at the same time, they are desiring number of unimplemented features.

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Cited By

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Lima DDe Souza Santos RGarcia GDa Silva SFrança CCapretz L(2023)Software Testing and Code Refactoring: A Survey with Practitioners2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME58846.2023.00064(500-507)Online publication date: 1-Oct-2023
https://doi.org/10.1109/ICSME58846.2023.00064
Martins LCampos DSantana RJunior JCosta HMachado I(2023)Hearing the voice of experts: Unveiling Stack Exchange communities’ knowledge of test smells2023 IEEE/ACM 16th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE)10.1109/CHASE58964.2023.00017(80-91)Online publication date: May-2023
https://doi.org/10.1109/CHASE58964.2023.00017
Asaad JАvksentieva E(2023)Review of ways to apply machine learning methods in software engineeringE3S Web of Conferences10.1051/e3sconf/202344907018449(07018)Online publication date: 16-Nov-2023
https://doi.org/10.1051/e3sconf/202344907018
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Index Terms

What programmers say about refactoring tools?: an empirical investigation of stack overflow
1. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments

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Published In

WRT '13: Proceedings of the 2013 ACM workshop on Workshop on refactoring tools

October 2013

44 pages

ISBN:9781450326049

DOI:10.1145/2541348

Program Chairs:
Emerson Murphy-Hill
North Carolina State University, USA
,
Max Schaefer
Nanyang Technological University, Singapore

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

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Published: 27 October 2013

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SIGPLAN

SPLASH '13: Conference on Systems, Programming, and Applications: Software for Humanity

October 27, 2013

Indiana, Indianapolis, USA

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WRT '13 Paper Acceptance Rate 9 of 9 submissions, 100%;

Overall Acceptance Rate 9 of 9 submissions, 100%

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Lima DDe Souza Santos RGarcia GDa Silva SFrança CCapretz L(2023)Software Testing and Code Refactoring: A Survey with Practitioners2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME58846.2023.00064(500-507)Online publication date: 1-Oct-2023
https://doi.org/10.1109/ICSME58846.2023.00064
Martins LCampos DSantana RJunior JCosta HMachado I(2023)Hearing the voice of experts: Unveiling Stack Exchange communities’ knowledge of test smells2023 IEEE/ACM 16th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE)10.1109/CHASE58964.2023.00017(80-91)Online publication date: May-2023
https://doi.org/10.1109/CHASE58964.2023.00017
Asaad JАvksentieva E(2023)Review of ways to apply machine learning methods in software engineeringE3S Web of Conferences10.1051/e3sconf/202344907018449(07018)Online publication date: 16-Nov-2023
https://doi.org/10.1051/e3sconf/202344907018
Kozanidis NVerdecchia RGuzman E(2022)Asking about Technical Debt: Characteristics and Automatic Identification of Technical Debt Questions on Stack OverflowProceedings of the 16th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/3544902.3546245(45-56)Online publication date: 19-Sep-2022
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Abid CGaaloul KKessentini MAlizadeh V(2022)What Refactoring Topics Do Developers Discuss? A Large Scale Empirical Study Using Stack OverflowIEEE Access10.1109/ACCESS.2021.314003610(56362-56374)Online publication date: 2022
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Golubev YKurbatova ZAlOmar EBryksin TMkaouer MSpinellis DGousios GChechik MDi Penta M(2021)One thousand and one stories: a large-scale survey of software refactoringProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3468264.3473924(1303-1313)Online publication date: 20-Aug-2021
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Peruma ASimmons SAlOmar ENewman CMkaouer MOuni A(2021)How do i refactor this? An empirical study on refactoring trends and topics in Stack OverflowEmpirical Software Engineering10.1007/s10664-021-10045-x27:1Online publication date: 23-Oct-2021
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Alomar EPeruma AMkaouer MNewman COuni A(2021)Behind the scenes: On the relationship between developer experience and refactoringJournal of Software: Evolution and Process10.1002/smr.2395Online publication date: 28-Oct-2021
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AlOmar EPeruma ANewman CMkaouer MOuni A(2020)On the Relationship Between Developer Experience and RefactoringProceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops10.1145/3387940.3392193(342-349)Online publication date: 27-Jun-2020
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