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Author

Nathan Hagel

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Book Open access Oct 2026

Deep Reactions: Realizing and Evaluating Consistency Preservation for Multi-Level, Multi-View Models

In view-based development, consistency plays a central role across concrete models. Consistency can be achieved automatically through consistency-preservation rules defined, for instance, in a change-driven language such as the Reactions language of the Vitruvius framework. This language, however, assumes the classical...

Annika Kienle, Arne Lange, Thomas Weber et al. · 0 citations
#small language model Book Open access Oct 2026

AMIGO: Agentic Model Instance Generation

Generating metamodel-conforming instance models is a recurring task in Model-Driven Engineering (MDE), yet it remains tedious and tool-bound: instances are serialized as verbose, deeply nested XMI that today’s large language models (LLMs) cannot reliably produce or edit. We present AMIGO, a general, harness-agnostic ar...

Maximilian Hummel, Julian Roßkothen, Nathan Hagel et al. · 0 citations
Book Open access Oct 2026

Uncertainty-aware Design Decisions through Probabilistic Uncertainty Quantification and Consistent Merging

When developing complex, software-intensive or cyber-physical systems, uncertainty must be managed during all stages. Especially if made explicit, it can significantly affect the design decisions of various stakeholders. A necessary requirement for determining the effect of uncertainty on a system and deciding whether...

Nathan Hagel, Johannes Mäkelburg, Alireza Maleki et al. · 1 citation
Book Open access Oct 2026

VitruviusOCL: A Declarative Language for Multi-Model Consistency Specification

It is demonstrated that VitruviusOCL can express multi-model constraints and specify intended behavior during design space exploration prior to identifying a concrete repair action, thereby making it a valuable part of the engineering process.

Max Oesterle, Arne Lange, Nathan Hagel et al. · 1 citation
#small language model Book Open access Oct 2026

UncertainTree: Analyzing Multi-Model Consistency under Uncertainty

Uncer-tainTree is presented, an end-to-end process that makes uncertainty a first-class concern of multi-model consistency analysis and includes interacting uncertainties from various sources and models.

Nathan Hagel, Johannes Mäkelburg, M. Armbruster et al. · 1 citation

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