Knowledge management in software engineering
Abstract
Software organizations’ main assets are not plants, buildings, or \nexpensive machines. A software organization’s main asset is its intellectual \ncapital, as it is in sectors such as consulting, law, investment \nbanking, and advertising. The major problem with intellectual \ncapital is that it has legs and walks home every day. At the same rate \nexperience walks out the door, inexperience walks in the door. Whether or \nnot many software organizations admit it, they face the challenge of sustaining the level of competence needed to \nwin contracts and fulfill undertakings.
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The SECI model has been applied to software engineering and digital education.
“SECI has been applied to software engineering (Rus and Lindvall 2002; Bjørnson and Dingsøyr 2008; Chikh 2011; Astorga-Vargas et al. 2017) and digital education ( ˙ Zatuchin 2024), but has not been applied to AI agent memory systems.”
From From Organizational Knowledge to AI Agent Memory: Empirical Validation of the SECI Model on the LongMemEval Benchmark (2026) · cites this paper as Rus and Lindvall 2002
The SECI model has not been applied to AI agent memory systems.
“SECI has been applied to software engineering (Rus and Lindvall 2002; Bjørnson and Dingsøyr 2008; Chikh 2011; Astorga-Vargas et al. 2017) and digital education ( ˙ Zatuchin 2024), but has not been applied to AI agent memory systems.”
From From Organizational Knowledge to AI Agent Memory: Empirical Validation of the SECI Model on the LongMemEval Benchmark (2026) · cites this paper as Rus and Lindvall 2002
Cites
People, organizations, and process improvement
Perry, D. E., Staudenmayer, N. A., & Votta, L. G. (1994) · IEEE Software · doi:10.1109/52.300082 · Cited by 401 · see citing works
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Knowledge-based approaches in software documentation: A systematic literature review
Ding, W., Liang, P., Tang, A., & van Vliet, H. (2014) · Information and Software Technology · doi:10.1016/j.infsof.2014.01.008 · Cited by 107 · see citing works
Application of knowledge-based approaches in software architecture: A systematic mapping study
Li, Z., Liang, P., & Avgeriou, P. (2013) · Information and Software Technology · doi:10.1016/j.infsof.2012.11.005 · Cited by 74 · see citing works
API Designers in the Field: Design Practices and Challenges for Creating Usable APIs
Murphy, L., Kery, M. B., Alliyu, O., Macvean, A., & Myers, B. A. (2018) · 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vlhcc.2018.8506523 · Cited by 38 · see citing works
Żatuchin, D. (2026) · Research Square (preprint) · doi:10.21203/rs.3.rs-9801639/v1
- Authors
- Rus, I., & Lindvall, M.
- Affiliations
- Fraunhofer USA Center Mid-Atlantic CMA (US)
- ORCID
- Lindvall, M.
- Venue
- IEEE Software
- Published
- 2002-05
- Volume
- 19
- Issue
- 3
- Pages
- 26-38
- ISSN
- 0740-7459 (ISSN-L)
- OpenAlex
- W2090036533
- Cited by
- 742
- References
- 1
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 6 · 2023: 6 · 2022: 19 · 2021: 25 · 2020: 22 · 2019: 21 · 2018: 43 · 2017: 37 · 2016: 35 · 2015: 40 · 2014: 42 · 2013: 48 · 2012: 48
- FWCI
- 91.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Software (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Social Sciences › Communication › Knowledge Management and Sharing
- Social Sciences › Business, Management and Accounting › Strategy and Management › Intellectual Capital and Performance Analysis
- Keywords
- knowledge management, software engineering, intellectual capital, software organizations, organizational competence, knowledge retention, knowledge transfer
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