Systematizing modeler experience (MX) in model-driven engineering success stories

Kalantari, Reyhaneh; Oertel, Julian; Exelmans, Joeri; Rukmono, Satrio Adi; Amaral, Vasco; Tichy, Matthias; Juhnke, Katharina; Steghöfer, Jan Philipp; Abrahão, Silvia

http://hdl.handle.net/10362/178644

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Autores

Steghöfer, Jan Philipp

Abrahão, Silvia

Resumo(s)

Modeling is often associated with complex and heavy tooling, leading to a negative perception among practitioners. However, alternative paradigms, such as everything-as-code or low-code, are gaining acceptance due to their perceived ease of use. This paper explores the dichotomy between these perceptions through the lens of “modeler experience” (MX). MX includes factors such as user experience, motivation, integration, collaboration and versioning, and language complexity. We examine the relationships between these factors and their impact on different modeling usage scenarios. Our findings highlight the importance of considering MX when understanding how developers interact with modeling tools and the complexities of modeling and associated tooling.

Descrição

Funding Information: This work is an outcome of the GI-Dagstuhl-Seminar 23,473 \u201CHuman Factors in Model-driven Engineering\u201D. The authors are grateful to the Leibniz Center for Informatics and the seminar\u2019s organizers for the opportunity to collaborate and produce these results. Abrah\u00E3o\u2019s contributions were partially supported by the State Research Agency (AEI) under the UCI-Adapt project (PID2022-140106NB-I00). Publisher Copyright: © The Author(s) 2024.