Discovering and Assessing Enterprise Architecture Debts
DOI:
https://doi.org/10.7250/csimq.2023-35.01Keywords:
Enterprise Architecture Quality Assessment, EA Debts DeterminationAbstract
The term Enterprise Architecture (EA) Debts has been coined to grasp the difference between the actual state of the EA and its hypothetical, optimal state. So far, different methods have been proposed to identify such EA Debts in organizations. However, these methods either are based on the transfer of known concepts from other domains to EA or are time and resource intensive. To overcome these shortcomings, we propose an approach that uses an interview format to identify EA Debts in enterprises and a method that allows a qualitative assessment of identified EA Debts. The proposed approach is supported by the designed framework that consists of an interview format and a process for determining thresholds of certain EA Smells.Downloads
Published
31.07.2023
Issue
Section
Articles
License
Copyright (c) 2023 Sara Daoudi, Malin Larsson, Simon Hacks, Jürgen Jung (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Daoudi, S., Larsson, M., Hacks, S., & Jung, J. (2023). Discovering and Assessing Enterprise Architecture Debts. Complex Systems Informatics and Modeling Quarterly, 35, 1-29. https://doi.org/10.7250/csimq.2023-35.01