Concept of the virtual OMiLAB


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Additional Literature

D. Karagiannis, H. C. Mayr, J. Mylopoulos (Eds.)

Domain-Specific Conceptual Modeling

Concepts, Methods and Tools

This book draws new attention to domain-specific conceptual modeling by presenting the work of thought leaders who have designed and deployed specific modeling methods. It provides hands-on guidance on how to build models in a particular domain, such as requirements engineering, business process modeling or enterprise architecture. In addition to these results, it also puts forward ideas for future developments. All this is enriched with exercises, case studies, detailed references and further related information. All domain-specific methods described in this volume also have a tool implementation within the OMiLAB Collaborative Environment - a dedicated research and experimentation space for modeling method engineering at the University of Vienna, Austria - making these advances accessible to a wider community of further developers and users.

The collection of works presented here will benefit experts and practitioners from academia and industry alike, including members of the conceptual modeling community as well as lecturers and students.

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D. Karagiannis

Agile modeling method engineering

By repurposing agility principles established in software engineering, this paper provides an overview on the practice of Agile Modeling Method Engineering (AMME) driven by evolving requirements and motivated by emerging paradigms and research initiative -- e.g., Enterprise Modeling, Factories of the Future, Internet of Things, Cyber-physical Systems. The approach has emerged from experiences with meta-modeling projects developed within the frame of the Open Model Initiative Laboratory (OMILab), where flexibility challenges have been raised by (a) evolving modeling requirements, (b) modeling requirements propagating from run-time systems requirements, as well as (c) requirements pertaining to domain-specificity. The framework and the characteristics of AMME are hereby discussed with respect to both methodological and architectural aspects and the Open Model Initiative Laboratory is be presented as an instance setup of the generalized AMME framework.

Find the full-text PDF here:

D. Karagiannis, H. Kühn

Metamodelling Platforms

The elements of an enterprise are managed more and more model-based. The state-of-the-art in the area of modelling of organisations is based on fixed metamodels. Product models are created by using product modelling environments, process models are created in business process modelling tools and organisational models are realised in personnel management tools. Web service models link these business models to information technology. They are created by using standardised languages and common ontologies. Information technology is modelled in tools supporting notions such as workflow or object-orientation. The models of the company’s strategy, goals and the appropriate measurements are described and monitored by using tools supporting management concepts such as Balanced Scorecard.
Major requirements to an enterprise modelling platform are flexibility and adaptability. These are fulfilled by environments providing flexible metamodelling capabilities. The main characteristic of such environments is that the formalism of modelling—the metamodel—can be freely defined. This raises research issues on how to design, manage, distribute and use such metamodels on a syntactic as well as on a semantic level and how to integrate, run and maintain a metamodelling platform in a corporation’s environment.
Platforms based on metamodelling concepts should support the following topics:

  1. Engineering the business models & their web services
  2. Designing and realizing the corresponding information technology
  3. Evaluating the used corporation resources and assets
This paper presents a framework for metamodelling platforms and gives some answers to the research issues stated above. As part of the framework flexible metamodel integration mechanisms, using meta-metamodels (meta2-models) and semantical mapping, are discussed. Additionally, a system architecture and the building blocks of a corporate metamodelling platform are described. Finally, best practices from three EU funded projects—REFINE, ADVISOR, and PROMOTE—all realised with industrial partners, are presented.

The full version of the paper can be downloaded from

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