Titlebook: Conceptual Modeling; 43rd International C Wolfgang Maass,Hyoil Han,Nick Multari Conference proceedings 2025 The Editor(s) (if applicable) a

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Multi-faceted Evaluation of Modeling Languages for Augmented Reality Applications The Case of ARWFMLs, the introduction of a 3D notation, and the development of a new 3D modeling environment. On this basis, a comprehensibility study of the language was conducted. Thereby, we show how modeling languages for augmented reality can be evolved towards a maturity level suitable for empirical evaluations.

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An Analysis of the Semantic Foundation of KerML and SysML v2ld semantics of the proposed KerML and SysML v2 specifications, and draw implications for their improvement and further development. Our attention is focused towards key constructs of the languages. We also examine the approach taken in the specifications to deal with dynamic aspects, which is inspired by the ‘four-dimensionalist’ view.

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Psycho-Cultural Factors in Communication,ge distillation tackles the first issue by compressing the model, while adversarial training resolves the second issue by incorporating disturbances into training. However, existing knowledge distillation methods often struggle to balance between model accuracy and robustness. To address this, we pr

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Lorand B. Szalay,Jean B. Strohl,Pen-Shui Laotained and manageable modules. However, existing studies have reported inconclusive results, prompting further exploration into when modularization supports or impedes process comprehension. Among the key factors suggested to influence the effect of modularization is the type of the task at hand. In

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From the Emeryville Shellmound,s. It describes the times of event occurrences, event types, event attributes, and process cases of events identified by one or more objects the events relate to. Process mining uses event data to analyze and improve the processes in organizations. These processes are often performed by actors or ag

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https://doi.org/10.1007/978-1-4615-5911-5et. The previously introduced Augmented Reality Workflow Modeling Language (ARWFML) enables the model-based creation of augmented reality scenarios without programming knowledge. Building upon the first design cycle of the language’s specification, this paper presents two further design iterations f