2026W

• Enterprise & Process Engineering / 194.152 / VU

• Uncovering LLM’s Capabilities in Model-Based Question Answering for UML Class Diagrams / Mischak, M., Verbruggen, C., Langer, P., & Bork, D. (2026). Uncovering LLM’s Capabilities in Model-Based Question Answering for UML Class Diagrams. In Enterprise, Business-Process and Information Systems Modeling : 26th International Conference, BPMDS 2025, and 30th International Conference, EMMSAD 2025, Vienna, Austria, June 16–17, 2025, Proceedings (pp. 331–348). Springer. https://doi.org/10.1007/978-3-032-28274-3_21
  Project: SmartGLSP (2025–2028)
• Vanilla-Converter: A Tool for Converting Camunda 7 BPMN Models into Camunda 8 Models / Sunaric, D., Verbruggen, C., Bork, D., & Kappel, G. (2026). Vanilla-Converter: A Tool for Converting Camunda 7 BPMN Models into Camunda 8 Models. In Retrospective and Prospective Views on Information Systems Engineering (pp. 107–123). Springer. https://doi.org/10.1007/978-3-032-19578-4_8
• Advancing Multi-modelling in MDE for Integrated Domain and Business Process Modelling / Verbruggen, C. (2026). Advancing Multi-modelling in MDE for Integrated Domain and Business Process Modelling (Vol. 576). Springer, Cham. https://doi.org/10.1007/978-3-032-13876-7
• A Model Cleansing Pipeline for Model-Driven Engineering: Mitigating the Garbage In, Garbage Out Problem for Open Model Repositories – (Extended Abstract) / Djelic, A., Ali, S. J., Verbruggen, C. R. R., Neidhardt, J., & Bork, D. (2026). A Model Cleansing Pipeline for Model-Driven Engineering: Mitigating the Garbage In, Garbage Out Problem for Open Model Repositories – (Extended Abstract). In Modellierung 2026 - Complete Volume (pp. 149–149). https://doi.org/10.18420/modellierung2026-12
• Toward a Community-Curated Golden Dataset of UML Models / Verbruggen, C. R. R., Netz, L., Glaser, P.-L., Scholz, M., Huemer, C., Calamo, M., Rumpe, B., Snoeck, M., & Bork, D. (2025). Toward a Community-Curated Golden Dataset of UML Models. In 2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (pp. 43–50). IEEE. https://doi.org/10.1109/MODELS-C68889.2025.00012
• A Model Cleansing Pipeline for Model-Driven Engineering: Mitigating the Garbage In, Garbage Out Problem for Open Model Repositories / Djelic, A., Ali, S. J., Verbruggen, C., Neidhardt, J., & Bork, D. (2025). A Model Cleansing Pipeline for Model-Driven Engineering: Mitigating the Garbage In, Garbage Out Problem for Open Model Repositories. In 2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems (MODELS) (pp. 60–71). IEEE Xplore. https://doi.org/10.1109/MODELS67397.2025.00012
• Towards a Maturity Assessment Framework for MBSE Adoption: Results from a Meta-synthesis / Henoeckl, T., Verbruggen, C. R. R., & Bork, D. (2025). Towards a Maturity Assessment Framework for MBSE Adoption: Results from a Meta-synthesis. In R. Guizzardi, L. Pufahl, A. Sturm, & H. van der Aa (Eds.), Enterprise, Business-Process and Information Systems Modeling : 26th International Conference, BPMDS 2025, and 30th International Conference, EMMSAD 2025, Vienna, Austria, June 16–17, 2025, Proceedings (pp. 335–350). Springer. https://doi.org/10.1007/978-3-031-95397-2_21
• Learning Analytics Dashboard with Peer Comparison for Student Feedback in Conceptual Modeling Education / Tiukhova, E., Verbruggen, C. R. R., De Laet, T., Baesens, B., & Snoeck, M. (2025). Learning Analytics Dashboard with Peer Comparison for Student Feedback in Conceptual Modeling Education. In R. Guizzardi, L. Pufahl, A. Sturm, & H. van der Aa (Eds.), Enterprise, Business-Process and Information Systems Modeling : 26th International Conference, BPMDS 2025, and 30th International Conference, EMMSAD 2025, Vienna, Austria, June 16–17, 2025, Proceedings (pp. 301–317). Springer. https://doi.org/10.1007/978-3-031-95397-2_19
• On the Influence of Collaboration and Visualization on the Outcome of Goal and Problem Modeling / Gutschmidt, A., Verbruggen, C., & Snoeck, M. (2025). On the Influence of Collaboration and Visualization on the Outcome of Goal and Problem Modeling. In The Practice of Enterprise Modeling (pp. 175–191). https://doi.org/10.1007/978-3-032-12063-2_12