Towards the Modelling of Enterprise Architecture Debt

Enterprise architecture debt (EA debt) has been defined as the deviation between the current state of the enterprise and the hypothetical idea state thereof [1]. If not managed properly, EA debt can set up a context in which future evolution can be more expensive or even impossible [2]. One of the cornerstones of EA debt management (EADM) is the documentation and communication thereof, which ensure the seamless flow of knowledge about EA debt among relevant stakeholders and support important decision-making processes. This thesis aims to explore the possibility to model the existence of EA debts within the corresponding EA environment (e.g. how the EA debts are related among themselves and with the surrounding EA elements) to facilitate the mentioned cornerstones of EADM. This topic requires knowledge in enterprise/software architecture, object-oriented programming, and programming skills to develop an application prototype.

Applications for a thesis on this topic can be sent to


[1] S. Hacks, H. Höfert, J. Salentin, Y. C. Yeong,H. Lichter, Towards the definition of enterprise architecture debts, in: 23rd IEEE InternationalEnterprise Distributed Object Computing Work-shop, EDOC Workshops 2019, Paris, France, Oc-tober 28-31, 2019, 2019, pp. 9–16. doi:10.1109/EDOCW.2019.00016.

[2] P. Alexander, S. Hacks, J. Jung, U. Steffens, Ö. Uludag, H. Lichter (2020): A Framework for Managing Enterprise Architecture Debts – Outline and Research Directions. In EMISA 2020 conference,


  • Type: Master Thesis
  • Status: Current
  • ID: 2022-001
  • Student: Yevheniia Kashperuk