@inproceedings{10.1007/978-3-031-54712-6_12,

title = {Towards a Knowledge Base of Terms on Enterprise Architecture Debt},

author = {Ada Slupczynski and Simon Hacks},

editor = {Tiago Prince Sales and Sybren Kinderen and Henderik A. Proper and Luise Pufahl and Dimka Karastoyanova and Marten Sinderen},

isbn = {978-3-031-54712-6},

year  = {2024},

date = {2024-03-01},

urldate = {2024-01-01},

booktitle = {Enterprise Design, Operations, and Computing. EDOC 2023 Workshops},

pages = {194–210},

publisher = {Springer Nature Switzerland},

address = {Cham},

abstract = {The term Enterprise Architecture (EA) Debt has been coined to grasp the difference between the actual state of the EA and its hypothetical, optimal state. Since its first definition in 2019, different theses have been conducted on the topic, and different articles have been published working on and with the term EA Debt. Consequently, using different terms has evolved to describe different phenomena within the domain. Due to the different authors involved in this development, perceiving these terms might differ. To avoid misunderstandings and to ease common understanding of the domain, we propose an ontology for the domain of EA Debt. We rely on a lightweight methodology for rapid ontology engineering (UPON light) and the Unified Foundational Ontology (UFO) to engineer our ontology.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {A First Validation of the Enterprise Architecture Debts Concept},

author = {Simon Hacks and Jürgen Jung},

editor = {Dominik Bork and Henderik A. Proper },

doi = {10.1007/978-3-031-34241-7_15},

year  = {2023},

date = {2023-06-12},

urldate = {2023-06-12},

booktitle = {International Conference on Business Process Modeling, Development and Support},

journal = {International Working Conference on Exploring Modeling Methods for Systems Analysis and Development},

volume = {479},

pages = {217-226},

publisher = {Springer},

series = {Lecture Notes in Business Information Processing},

abstract = {The Enterprise Architecture (EA) discipline is now established in many companies. The architectures of these companies changed over time. They resulted from a long creation and maintenance process containing processes and services provided by legacy IT systems (e.g., systems, applications) that were reasonable when they were created but might now hamper the introduction of better solutions. To handle those legacies, we started researching on the notion of EA debts, which widens the scope of technical debts to organizational aspects. However, no studies have yet been conducted to validate if the concept of EA debts has a positive influence. Within this work, we have experimented with students of an EA course. Half of the students were taught the concept of EA debts, while the other half was taught about another topic simultaneously. Afterward, the students performed a modeling task graded by EA experts among the criteria of effectiveness, comprehensibility, minimality, and completeness. The analysis revealed no significant difference between the quality of the created models by the different student groups.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}