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Seven habits of a highly effective smell detector

Authors:

Emerson Murphy-Hill,

Andrew P. BlackAuthors Info & Claims

RSSE '08: Proceedings of the 2008 international workshop on Recommendation systems for software engineering

Pages 36 - 40

https://doi.org/10.1145/1454247.1454261

Published: 09 November 2008 Publication History

Abstract

The process of refactoring code---changing its structure while preserving its meaning---has been identified as an important way of maintaining code quality over time. However, it is sometimes difficult for progammers to identify which pieces of code are in need of refactoring. "Smell detectors" are designed to help programmers in this task, but most smell detectors do not mesh well with "floss refactoring," the recommended tactic in which refactoring and programming are finely interleaved. In this paper we present a smell detector that we have built with floss refactoring in mind by combining seven habits that we postulate are important to consider when designing usable smell detectors. We hope that this combination can help the designers of future smell detectors build tools that align with the way that programmers refactor.

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Cited By

AbuHassan AAlshayeb MGhouti L(2021)Software smell detection techniquesJournal of Software: Evolution and Process10.1002/smr.232033:3Online publication date: 3-Mar-2021
https://dl.acm.org/doi/10.1002/smr.2320
Oizumi WSousa LOliveira ACarvalho LGarcia AColanzi TOliveira R(2019)On the Density and Diversity of Degradation Symptoms in Refactored Classes: A Multi-case Study2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE)10.1109/ISSRE.2019.00042(346-357)Online publication date: Oct-2019
https://doi.org/10.1109/ISSRE.2019.00042
Eposhi AOizumi WGarcia ASousa LOliveira ROliveira AGuéhéneuc YKhomh FSarro F(2019)Removal of design problems through refactoringsProceedings of the 27th International Conference on Program Comprehension10.1109/ICPC.2019.00032(148-153)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1109/ICPC.2019.00032
Show More Cited By

Index Terms

Seven habits of a highly effective smell detector
1. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments

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cover image ACM Conferences

RSSE '08: Proceedings of the 2008 international workshop on Recommendation systems for software engineering

November 2008

62 pages

ISBN:9781605582283

DOI:10.1145/1454247

Copyright © 2008 ACM.

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: 09 November 2008

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Division of Computing and Communication Foundations

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SIGSOFT '08/FSE-16

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SIGSOFT

SIGSOFT '08/FSE-16: SIGSOFT 2008 -16th International Symposium on the Foundations of Software Engineering

November 9, 2008

Georgia, Atlanta

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Cited By

AbuHassan AAlshayeb MGhouti L(2021)Software smell detection techniquesJournal of Software: Evolution and Process10.1002/smr.232033:3Online publication date: 3-Mar-2021
https://dl.acm.org/doi/10.1002/smr.2320
Oizumi WSousa LOliveira ACarvalho LGarcia AColanzi TOliveira R(2019)On the Density and Diversity of Degradation Symptoms in Refactored Classes: A Multi-case Study2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE)10.1109/ISSRE.2019.00042(346-357)Online publication date: Oct-2019
https://doi.org/10.1109/ISSRE.2019.00042
Eposhi AOizumi WGarcia ASousa LOliveira ROliveira AGuéhéneuc YKhomh FSarro F(2019)Removal of design problems through refactoringsProceedings of the 27th International Conference on Program Comprehension10.1109/ICPC.2019.00032(148-153)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1109/ICPC.2019.00032
De Ruvo GTempero ELuxton-Reilly ARowe GGiacaman NMason RSimon (2018)Understanding semantic style by analysing student codeProceedings of the 20th Australasian Computing Education Conference10.1145/3160489.3160500(73-82)Online publication date: 30-Jan-2018
https://dl.acm.org/doi/10.1145/3160489.3160500
Sae-Lim NHayashi SSaeki MTonelli R(2017)Revisiting context-based code smells prioritizationProceedings of the XP2017 Scientific Workshops10.1145/3120459.3120463(1-5)Online publication date: 22-May-2017
https://dl.acm.org/doi/10.1145/3120459.3120463
Oliveira RSousa Lde Mello RValentim NLopes AConte TGarcia AOliveira ELucena CJuristo NShepherd D(2017)Collaborative identification of code smellsProceedings of the 39th International Conference on Software Engineering: Software Engineering in Practice Track10.1109/ICSE-SEIP.2017.7(33-42)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.1109/ICSE-SEIP.2017.7
Oliveira REstacio BGarcia AMarczak SPrikladnicki RKalinowski MLucena C(2016)Identifying Code Smells with Collaborative Practices: A Controlled Experiment2016 X Brazilian Symposium on Software Components, Architectures and Reuse (SBCARS)10.1109/SBCARS.2016.18(61-70)Online publication date: Sep-2016
https://doi.org/10.1109/SBCARS.2016.18
Estácio BOliveira RMarczak SKalinowski MGarcia APrikladnicki RLucena C(2015)Evaluating Collaborative Practices in Acquiring Programming SkillsProceedings of the 2015 29th Brazilian Symposium on Software Engineering10.1109/SBES.2015.24(150-159)Online publication date: 21-Sep-2015
https://dl.acm.org/doi/10.1109/SBES.2015.24
Yamashita AMoonen L(2013)Do developers care about code smells? An exploratory survey2013 20th Working Conference on Reverse Engineering (WCRE)10.1109/WCRE.2013.6671299(242-251)Online publication date: Oct-2013
https://doi.org/10.1109/WCRE.2013.6671299

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