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Astract: If an Enterprise Model is to be used in the strategic decision-making, it should represent the connections between the elements of internal structure, like processes, machines, people, and the elements of the business environment, like market segments, competitors, regulators. The paper presents and discusses a modeling technique - Fractal Enterprise Model (FEM) - that allows to represent such connections, and a computerized toolkit - FEM toolkit - that supports the modeling process. The presentation is done based on a running example. The attendees will learn about an innovative presentation of a business environment in an enterprise model.

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Astract: Hitherto, the concept of Enterprise Architecture (EA) Smells has been proposed to assess quality flaws in EAs and their models. Together with this new concept, a catalog of different EA Smells has been published and a first prototype was developed. However, this prototype is limited to ArchiMate and is not able to assess models adhering to other EA modeling languages. Moreover, the prototype is not integrate-able with other EA tools. Therefore, we propose to enhance the extensible Graph-based Enterprise Architecture Analysis (eGEAA) platform that relies on Knowledge Graphs with EA Smell detection capabilities. To align these two approaches, we show in this paper, how ArchiMate models can be transformed into Knowledge Graphs and provide a set of queries on the Knowledge Graph representation that are able to detect EA Smells. This enables enterprise architects to assess EA Smells on all types of EA models as long as there is a Knowledge Graph representation of the model. Finally, we evaluate the Knowledge Graph based EA Smell detection by analyzing a set of 347 EA models.

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Astract: Die Baubranche wird durch die Entwicklung digitaler Systeme in der Planung und Abwicklung von Bauprojekten sukzessiv beeinflusst. Dabei setzen Unternehmen und Auftraggeber je nach Größe auf Eigenentwicklungen oder auf dem Markt erhältliche Produkte. Dieser Artikel zeigt, welche Möglichkeiten bestehen, um die Erstellung und Einführung digitaler Systeme in der Baubranche qualitativ und quantitativ zu bewerten. Dafür werden Methoden für die Entwicklung und Etablierung softwaregestützter Prozesse auf Baustellen vorgestellt.

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Astract: With the emergence of Cyber-Physical Systems (CPS), several sophisticated runtime monitoring solutions havebeen proposed in order to deal with extensive execution logs. One promising development in this respect is the integration oftime series databases that support the storage of massive amounts of historical data as well as to provide fast query capabilitiesto reason about runtime properties of such CPS.In this paper, we discuss how conceptual modeling can benefit from time series databases, and vice versa. In particular,we present how metamodels and their instances, i.e., models, can be partially mapped to time series databases. Thus, thetraceability between design and simulation/runtime activities can be ensured by retrieving and accessing runtime information,i.e., time series data, in design models. On this basis, the contribution of this paper is four-fold. First, a dedicated profilefor annotating design models for time series databases is presented. Second, a mapping for integrating the metamodelingframework EMF with InfluxDB is introduced as a technology backbone enabling two distinct mapping strategies for modelinformation. Third, we demonstrate how continuous time series queries can be combined with the Object Constraint Language(OCL) for navigation through models, now enriched with derived runtime properties. Finally, we also present an initial evaluationof the different mapping strategies with respect to data storage and query performance. Our initial results show the efficiency ofapplying derived runtime properties as time series queries also for large model histories.

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Astract: Among the plethora of industrial standards available in the context of smart manufacturing, one series of standards is consistently being mentioned for dealing with manufacturing operations management: IEC 62264. Its second part provides a conceptual model for the description of production systems and their capabilities, including runtime information such as concrete maintenance schedules or achieved production goals. In this work, we present a concrete graphical syntax and toolkit for the creation and presentation of IEC 62264-2 compliant models, using techniques from model-driven (software) engineering. We have evaluated our tool by conducting a user study for assessing its usability and effectiveness.

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Astract: Es gibt zahlreiche Publikationen, die die digitale Transformation im Tief- und Tunnelbau propagieren. Als Lösungsansatz wird dabei immer wieder Building Information Modeling (BIM) genannt und die Umsetzung der digitalen Transformation basierend auf dieser Methodik gefordert. Der prototypische Charakter eines Tunnelbauprojekts erschwert jedoch eine standardisierte Vorgehensweise. Hinzu kommt, dass die beteiligten Fachdisziplinen für unterschiedliche Gewerke individuelle Softwaretools mit proprietären (nicht standardisierten) Datenformaten nutzen. Durch diese in sich geschlossenen Datenmodelle ist eine offene BIM Arbeitsweise (Open BIM) nur schwer zu realisieren. Das hat der Lehrstuhl für Subsurface Engineering an der Montanuniversität Leoben zum Anlass genommen und zwei anwendungsorientierte Forschungsprojekte zur digitalen Transformation im Tief- und Tunnelbau lanciert, deren Inhalte in diesem Artikel kurz vorgestellt werden. Das „Zentrum am Berg (ZaB)“ dient in beiden Projekten als zentrale Infrastruktur zu Evaluierungszwecken.

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Astract: Legacy systems and their associated data models often evolve into large, monolithic artifacts. This threatens comprehensibility and maintainability by human beings. Breaking down a monolith into a modular structure is an established technique in software engineering. Several previous works aimed to adapt modularization also for conceptual data models. However, we currently see a research gap manifested in the absence of: (i) a flexible and extensible modularization concept for Entity Relationship (ER) models; (ii) of openly available tool support; and (iii) empirical evaluation. With this paper, we introduce a generic encoding of a modularization concept for ER models which enables the use of meta-heuristic search approaches. For the efficient application we introduce the ModulER tool. Eventually, we report on a twofold evaluation: First, we demonstrate feasibility and performance of the approach by two demonstration cases. Second, we report on an initial empirical experiment and a survey we conducted with modelers to compare automated modularizations with manually created ones and to better understand how humans approach ER modularization.

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Astract: Variability is crucial in the design of many advanced goods and it is also receiving increasing attention in production systems engineering. Since OPC Unified Architecture plays an important role when it comes to standardized information exchange in modern production systems, it can be a melting pot for information from various engineering domains, such as product design and production engineering - thus, it is an ideal place to hold variability information of products and production systems alike. Based on an initial variability information model we propose additional concepts for the persisting of configurations.