short-paper

From lasagna to spaghetti, a decision model to manage defect debt

Authors:

Abdullah Aldaeej,

Carolyn SeamanAuthors Info & Claims

TechDebt '18: Proceedings of the 2018 International Conference on Technical Debt

Pages 67 - 71

https://doi.org/10.1145/3194164.3194177

Published: 27 May 2018 Publication History

Abstract

In this paper, we propose a model that formalizes the role of software evolution in characterizing Technical Debt (TD) by defining a series of software product states, where each successive state represents an increased level of maintenance code churn, and thus presumably an increased level of change difficulty. We also propose a way to use these states to estimate TD principal and interest and use this information in decision making during release planning. In addition, we illustrate our model using bug report data from the Eclipse-Birt project.

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Cited By

Szabados KFarkas IKovács A(2022)Reproducibility in the technical debt domainActa Universitatis Sapientiae, Informatica10.2478/ausi-2021-001613:2(335-360)Online publication date: 2-Feb-2022
https://doi.org/10.2478/ausi-2021-0016
Pina DGoldman ATonin G(2021)Technical Debt Prioritization: Taxonomy, Methods Results, and Practical Characteristics2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA53835.2021.00034(206-213)Online publication date: Sep-2021
https://doi.org/10.1109/SEAA53835.2021.00034
Alfayez RAlwehaibi WWinn RVenson EBoehm BIzurieta CGalster MFelderer M(2020)A systematic literature review of technical debt prioritizationProceedings of the 3rd International Conference on Technical Debt10.1145/3387906.3388630(1-10)Online publication date: 28-Jun-2020
https://dl.acm.org/doi/10.1145/3387906.3388630
Show More Cited By

Index Terms

From lasagna to spaghetti, a decision model to manage defect debt
1. Information systems
  1. Information systems applications
    1. Decision support systems
2. Software and its engineering
  1. Software creation and management
    1. Software post-development issues
      1. Software evolution

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Published In

cover image ACM Conferences

TechDebt '18: Proceedings of the 2018 International Conference on Technical Debt

May 2018

157 pages

ISBN:9781450357135

DOI:10.1145/3194164

General Chair:
Robert L. Nord
Software Engineering Institute, Pittsburgh
,
Program Chairs:
Frank Buschmann
Siemens, München, Germany
,
Philippe Kruchten
University of British Columbia, Vancouver, Canada

Copyright © 2018 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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Published: 27 May 2018

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ICSE '18: 40th International Conference on Software Engineering

May 27 - 28, 2018

Gothenburg, Sweden

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Overall Acceptance Rate 14 of 31 submissions, 45%

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Cited By

Szabados KFarkas IKovács A(2022)Reproducibility in the technical debt domainActa Universitatis Sapientiae, Informatica10.2478/ausi-2021-001613:2(335-360)Online publication date: 2-Feb-2022
https://doi.org/10.2478/ausi-2021-0016
Pina DGoldman ATonin G(2021)Technical Debt Prioritization: Taxonomy, Methods Results, and Practical Characteristics2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA53835.2021.00034(206-213)Online publication date: Sep-2021
https://doi.org/10.1109/SEAA53835.2021.00034
Alfayez RAlwehaibi WWinn RVenson EBoehm BIzurieta CGalster MFelderer M(2020)A systematic literature review of technical debt prioritizationProceedings of the 3rd International Conference on Technical Debt10.1145/3387906.3388630(1-10)Online publication date: 28-Jun-2020
https://dl.acm.org/doi/10.1145/3387906.3388630
Lenarduzzi VMandić VKatin ATaibi D(2020)How long do Junior Developers take to Remove Technical Debt Items?Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)10.1145/3382494.3422169(1-6)Online publication date: 5-Oct-2020
https://dl.acm.org/doi/10.1145/3382494.3422169
Arif ARana Z(2020)Refactoring of Code to Remove Technical Debt and Reduce Maintenance Effort2020 14th International Conference on Open Source Systems and Technologies (ICOSST)10.1109/ICOSST51357.2020.9332917(1-7)Online publication date: 16-Dec-2020
https://doi.org/10.1109/ICOSST51357.2020.9332917
Baldassarre MLenarduzzi VRomano SSaarimäki N(2020)On the diffuseness of technical debt items and accuracy of remediation time when using SonarQubeInformation and Software Technology10.1016/j.infsof.2020.106377128:COnline publication date: 1-Dec-2020
https://dl.acm.org/doi/10.1016/j.infsof.2020.106377

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