Cited by 432Software Engineering ResearchSoftware Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Managing technical debt in software-reliant systems

Brown, Nanette, Cai, Yuanfang, Guo, Yuepu, Kazman, Rick, Kim, Miryung, Kruchten, Philippe, Lim, Erin, MacCormack, Alan +6 more·2010·Proceedings of the FSE/SDP workshop on Future of software engineering research

Abstract

Delivering increasingly complex software-reliant systems demands better ways to manage the long-term effects of short-term expedients. The technical debt metaphor is gaining significant traction in the agile development community as a way to understand and communicate such issues. The idea is that developers sometimes accept compromises in a system in one dimension (e.g., modularity) to meet an urgent demand in some other dimension (e.g., a deadline), and that such compromises incur a "debt": on which "interest" has to be paid and which the "principal" should be repaid at some point for the long-term health of the project. We argue that the software engineering research community has an opportunity to study and improve this concept. We can offer software engineers a foundation for managing such trade-offs based on models of their economic impacts. Therefore, we propose managing technical debt as a part of the future research agenda for the software engineering field.

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Crossref · 10.1145/1882362.1882373

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  • Technical debt is characterized as 'quick and dirty' software customizations made without a complete understanding of their future implications, undermining system reliability and imposing long-term maintenance obligations.

    “Extant literature characterizes 'quick and dirty' software customizations made without a complete understanding of their future implications as technical debt, as they undermine system reliability and impose long-term maintenance obligations (Kruchten et al. 2012, Brown et al. 2010, Banker et al. 2021).”

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Authors
Brown, N., Cai, Y., Guo, Y., Kazman, R., Kim, M., Kruchten, P., Lim, E., MacCormack, A., Nord, R., Ozkaya, I., Sangwan, R., Seaman, C., Sullivan, K., & Zazworka, N.
Affiliations
  • Carnegie Mellon University (US)
  • Drexel University (US)
  • University of Maryland, Baltimore County (US)
  • University of Hawaiʻi at Mānoa (US)
  • The University of Texas at Austin (US)
  • University of British Columbia (CA)
  • Massachusetts Institute of Technology (US)
  • Carnegie Mellon University, Pittsnurgh, PA, USA
  • Pennsylvania State University (US)
  • University of Virginia (US)
Venue
Proceedings of the FSE/SDP workshop on Future of software engineering research
Publisher
ACM
Published
2010-11-07
Pages
47-52
OpenAlex
W2057433090
Cited by
432
References
0
Citations by year
2026: 14 · 2025: 24 · 2024: 27 · 2023: 17 · 2022: 31 · 2021: 35 · 2020: 32 · 2019: 28 · 2018: 27 · 2017: 29 · 2016: 32 · 2015: 39 · 2014: 29 · 2013: 29 · 2012: 28
FWCI
15.23
Type
conference paper
Language
en
Open access
closed
Locations
  • FSE/SDP Workshop on Future of Software Engineering Research (FoSER) (publishedVersion)
  • Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
Funders
  • National Science Foundation
  • U.S. Department of Defense
Topics
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Research
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
  • Physical Sciences › Computer Science › Artificial Intelligence › Advanced Software Engineering Methodologies
Keywords
technical debt, modularity, economic impact model, agile software development, software maintenance, research agenda

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