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Managing technical debt in software development: report on the 2nd international workshop on managing technical debt, held at ICSE 2011

Authors:

Ipek Ozkaya,

Philippe Kruchten,

Robert L. Nord,

Nanette BrownAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 36, Issue 5

Pages 33 - 35

https://doi.org/10.1145/2020976.2020979

Published: 30 September 2011 Publication History

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Abstract

The technical debt metaphor is gaining significant traction in the software development community as a way to understand and communicate about issues of intrinsic quality, value, and cost. This is a report on a second workshop on managing technical debt, which took place as part of the 33rd International Conference on Software Engineering (ICSE 2011). The goal of this second workshop was to discuss the management of technical debt: to assess current practice in industry and to further refine a research agenda for software engineering in this area.

References

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Cited By

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Santamaria ILarrucea XFernandez‐Gauna B(2023)Integrating privacy debt and VSE's software developmentsJournal of Software: Evolution and Process10.1002/smr.243735:8Online publication date: 7-Aug-2023
https://dl.acm.org/doi/10.1002/smr.2437
Das DMaruf AIslam RLambaria NKim SAbdelfattah ACerny TFrajtak KBures MTisnovsky P(2022)Technical debt resulting from architectural degradation and code smellsACM SIGAPP Applied Computing Review10.1145/3512753.351275521:4(20-36)Online publication date: 19-Jan-2022
https://dl.acm.org/doi/10.1145/3512753.3512755
Gupta AGandhi RKumar V(2022)Investigating Bad Smells with Feature Selection and Machine Learning ApproachesPredictive Analytics in System Reliability10.1007/978-3-031-05347-4_4(53-65)Online publication date: 9-Sep-2022
https://doi.org/10.1007/978-3-031-05347-4_4
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Index Terms

Managing technical debt in software development: report on the 2nd international workshop on managing technical debt, held at ICSE 2011
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Information system economics
2. Software and its engineering

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cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 36, Issue 5

September 2011

160 pages

ISSN:0163-5948

DOI:10.1145/2020976

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 September 2011

Published in SIGSOFT Volume 36, Issue 5

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Santamaria ILarrucea XFernandez‐Gauna B(2023)Integrating privacy debt and VSE's software developmentsJournal of Software: Evolution and Process10.1002/smr.243735:8Online publication date: 7-Aug-2023
https://dl.acm.org/doi/10.1002/smr.2437
Das DMaruf AIslam RLambaria NKim SAbdelfattah ACerny TFrajtak KBures MTisnovsky P(2022)Technical debt resulting from architectural degradation and code smellsACM SIGAPP Applied Computing Review10.1145/3512753.351275521:4(20-36)Online publication date: 19-Jan-2022
https://dl.acm.org/doi/10.1145/3512753.3512755
Gupta AGandhi RKumar V(2022)Investigating Bad Smells with Feature Selection and Machine Learning ApproachesPredictive Analytics in System Reliability10.1007/978-3-031-05347-4_4(53-65)Online publication date: 9-Sep-2022
https://doi.org/10.1007/978-3-031-05347-4_4
Aragão BAndrade RSantos ICastro RLelli VDarin T(2021)TestDCat 3.0: catalog of test debt subtypes and management activitiesSoftware Quality Journal10.1007/s11219-020-09533-y30:1(181-225)Online publication date: 17-Jan-2021
https://doi.org/10.1007/s11219-020-09533-y
Lunde BColomo-Palacios R(2020)Continuous practices and technical debt: a systematic literature review2020 20th International Conference on Computational Science and Its Applications (ICCSA)10.1109/ICCSA50381.2020.00018(40-44)Online publication date: Jul-2020
https://doi.org/10.1109/ICCSA50381.2020.00018
Gupta ASuri BBhat V(2020)Android Smells Detection Using ML Algorithms with Static Code MetricsData Science and Analytics10.1007/978-981-15-5827-6_6(64-79)Online publication date: 28-May-2020
https://doi.org/10.1007/978-981-15-5827-6_6
Avgeriou PErnst NNord RKruchten P(2016)Technical DebtACM SIGSOFT Software Engineering Notes10.1145/2894784.289480041:2(38-41)Online publication date: 11-May-2016
https://dl.acm.org/doi/10.1145/2894784.2894800
Carlson JPapatheocharous EPetersen K(2016)A Context Model for Architectural Decision Support2016 1st International Workshop on Decision Making in Software ARCHitecture (MARCH)10.1109/MARCH.2016.6(9-15)Online publication date: Apr-2016
https://doi.org/10.1109/MARCH.2016.6
Li ZLiang PAvgeriou P(2016)Architecture viewpoints for documenting architectural technical debtSoftware Quality Assurance10.1016/B978-0-12-802301-3.00005-3(85-132)Online publication date: 2016
https://doi.org/10.1016/B978-0-12-802301-3.00005-3
Seaman CNord RKruchten POzkaya I(2015)Technical DebtACM SIGSOFT Software Engineering Notes10.1145/2735399.273541940:2(32-34)Online publication date: 3-Apr-2015
https://dl.acm.org/doi/10.1145/2735399.2735419
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