ArchiMate Modeling Mistakes : A Comparative Analysis of Student Assignments and Prior Research on EA Modeling Mistakes
Seppänen, V., & Nurmi, J. (2024). ArchiMate Modeling Mistakes : A Comparative Analysis of Student Assignments and Prior Research on EA Modeling Mistakes. In T. X. Bui (Ed.), Proceedings of the 57th Annual Hawaii International Conference on System Sciences (HICSS 2024) (pp. 5154-5163). University of Hawaiʻi at Mānoa. Proceedings of the Annual Hawaii International Conference on System Sciences. https://hdl.handle.net/10125/107003
© Authors 2024
Enterprise Architecture is one of the core competencies of higher education IS programs and is widely regarded as one the most common ways to produce valuable and usable information for decision-makers regarding business-IT alignment. Prior research notes the limited perceived usefulness of EA visualizations, which are often characterized by their complexity, lack of focus, and inappropriate level of abstraction, which inhibits their effective use for decision-making. Despite this, research on teaching enterprise architecture modeling is scarce, and understanding the problems students face and the solutions to overcome these are lacking. This study reports findings from the analysis of roughly 300 student assignments, collected from an undergraduate course on EA. Our findings indicate that the mistakes made by the students are in line with the prior research, as the student's modeling errors aligned with limitations commonly associated with EA models, such as poor readability, unfit level of abstraction, and either lack of or excessive information in the model. ...
PublisherUniversity of Hawaiʻi at Mānoa
Parent publication ISBN978-0-9981331-7-1
ConferenceHawaii International Conference on System Sciences
Is part of publicationProceedings of the 57th Annual Hawaii International Conference on System Sciences (HICSS 2024)
Publication in research information system
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