research-article

Investigating the impact of code smells debt on quality code evaluation

Authors:

Francesca Arcelli Fontana,

Vincenzo Ferme,

Stefano SpinelliAuthors Info & Claims

MTD '12: Proceedings of the Third International Workshop on Managing Technical Debt

Pages 15 - 22

Published: 05 June 2012 Publication History

Abstract

Different forms of technical debt exist that have to be carefully managed. In this paper we focus our attention on design debt, represented by code smells. We consider three smells that we detect in open source systems of different domains. Our principal aim is to give advice on which design debt has to be paid first, according to the three smells we have analyzed. Moreover, we discuss if the detection of these smells could be tailored to the specific application domain of a system.

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Cited By

Jesse KKuhmuench CSawant A(2023)RefactorScore: Evaluating Refactor Prone CodeIEEE Transactions on Software Engineering10.1109/TSE.2023.332461349:11(5008-5026)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TSE.2023.3324613
Liu JHuang QXia XShihab ELo DLi SRothermel GBae D(2020)Is using deep learning frameworks free?Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Society10.1145/3377815.3381377(1-10)Online publication date: 27-Jun-2020
https://dl.acm.org/doi/10.1145/3377815.3381377
Halepmollasi RRothermel GBae D(2020)A composed technical debt identification methodology to predict software vulnerabilitiesProceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings10.1145/3377812.3381396(186-189)Online publication date: 27-Jun-2020
https://dl.acm.org/doi/10.1145/3377812.3381396
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Investigating the impact of code smells debt on quality code evaluation
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Software management

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Published In

cover image ACM Conferences

MTD '12: Proceedings of the Third International Workshop on Managing Technical Debt

June 2012

69 pages

ISBN:9781467317498

General Chairs:
Philippe Kruchten
University of British Columbia, Canada
,
Rod Nord
Software Engineering Institute
,
Ipek Ozkaya
Software Engineering Institute
,
Joost Visser
Software Improvement Group, Netherlands

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering
University of Zurich: University of Zurich
IEEE CS

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IEEE Press

Publication History

Published: 05 June 2012

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ICSE '12

Sponsor:

SIGSOFT
University of Zurich

ICSE '12: 34th International Conference on Software Engineering

June 5, 2012

Zurich, Switzerland

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Overall Acceptance Rate 40 of 92 submissions, 43%

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Cited By

Jesse KKuhmuench CSawant A(2023)RefactorScore: Evaluating Refactor Prone CodeIEEE Transactions on Software Engineering10.1109/TSE.2023.332461349:11(5008-5026)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TSE.2023.3324613
Liu JHuang QXia XShihab ELo DLi SRothermel GBae D(2020)Is using deep learning frameworks free?Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Society10.1145/3377815.3381377(1-10)Online publication date: 27-Jun-2020
https://dl.acm.org/doi/10.1145/3377815.3381377
Halepmollasi RRothermel GBae D(2020)A composed technical debt identification methodology to predict software vulnerabilitiesProceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings10.1145/3377812.3381396(186-189)Online publication date: 27-Jun-2020
https://dl.acm.org/doi/10.1145/3377812.3381396
Plösch RBräuer JSaft MKörner CNord RBuschmann FKruchten P(2018)Design debt prioritizationProceedings of the 2018 International Conference on Technical Debt10.1145/3194164.3194172(95-104)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3194164.3194172
Hozano MGarcia AAntunes NFonseca BCosta EScanniello GLo DSerebrenik A(2017)Smells are sensitive to developers!Proceedings of the 25th International Conference on Program Comprehension10.1109/ICPC.2017.32(110-120)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.1109/ICPC.2017.32
Silva MValente MTerra RSiqueira FVilain PCappelli CWazlawick R(2016)Does Technical Debt Lead to the Rejection of Pull Requests?Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era - Volume 110.5555/3021955.3021997(248-254)Online publication date: 17-May-2016
https://dl.acm.org/doi/10.5555/3021955.3021997
Fontana FRoveda RVittori SMetelli ASaldarini SMazzei F(2016)On evaluating the impact of the refactoring of architectural problems on software qualityProceedings of the Scientific Workshop Proceedings of XP201610.1145/2962695.2962716(1-8)Online publication date: 24-May-2016
https://dl.acm.org/doi/10.1145/2962695.2962716
Bellomo SNord ROzkaya IPopeck MKim MRobbes RBird C(2016)Got technical debt?Proceedings of the 13th International Conference on Mining Software Repositories10.1145/2901739.2901754(327-338)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2901739.2901754
Ernst NBellomo SOzkaya INord RGorton IDi Nitto EHarman MHeymans P(2015)Measure it? Manage it? Ignore it? software practitioners and technical debtProceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering10.1145/2786805.2786848(50-60)Online publication date: 30-Aug-2015
https://dl.acm.org/doi/10.1145/2786805.2786848
Griffith IIzurieta CTaffahi HClaudio DBuckley SMiller J(2014)A simulation study of practical methods for technical debt management in agile software developmentProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2693983(1014-1025)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2693983
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