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Multi-View Modeling and Pragmatics in 2020, Position Paper on Designing Complex Cyber-Physical Systems
Reinhard von Hanxleden, Edward A. Lee, Christian Motika, Hauke Fuhrmann

Citation
Reinhard von Hanxleden, Edward A. Lee, Christian Motika, Hauke Fuhrmann. "Multi-View Modeling and Pragmatics in 2020, Position Paper on Designing Complex Cyber-Physical Systems". Proceedings of the 17th International Monterey Workshop on Development, Operation and Management of Large-Scale Complex IT System, to appear., LNCS, 19, March, 2012.

Abstract
Multi-view modeling refers to a system designer constructing distinct and separate models of the same system to model different (semantic) aspects of a system. Modeling pragmatics also entails constructing different views of a system, but here the focus is on syntactic/pragmatic aspects, and the views are constructed automatically by filtering and drawing algorithms.

In this paper, we argue that both approaches will have growing influence on model-based design, in particular for complex cyber-physical systems, and we identify a number of general developments that seem likely to contribute to this until 2020. This includes notably the trend towards domain-specifi c modeling and agile development, novel input devices, and the move to the cloud. We also report on preliminary practical results in this area with two modeling environments, Ptolemy and KIELER, and the lessons learned from their combined usage.

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Citation formats  
  • HTML
    Reinhard von Hanxleden, Edward A. Lee, Christian Motika,
    Hauke Fuhrmann. <a
    href="http://chess.eecs.berkeley.edu/pubs/905.html"
    >Multi-View Modeling and Pragmatics in 2020, Position
    Paper on Designing Complex Cyber-Physical Systems</a>,
    Proceedings of the 17th International Monterey Workshop on
    Development, Operation and Management of Large-Scale Complex
    IT System, to appear., LNCS, 19, March, 2012.
  • Plain text
    Reinhard von Hanxleden, Edward A. Lee, Christian Motika,
    Hauke Fuhrmann. "Multi-View Modeling and Pragmatics in
    2020, Position Paper on Designing Complex Cyber-Physical
    Systems". Proceedings of the 17th International
    Monterey Workshop on Development, Operation and Management
    of Large-Scale Complex IT System, to appear., LNCS, 19,
    March, 2012.
  • BibTeX
    @inproceedings{vonHanxledenLeeMotikaFuhrmann12_MultiViewModelingPragmaticsIn2020PositionPaperOnDesigning,
        author = {Reinhard von Hanxleden and Edward A. Lee and
                  Christian Motika and Hauke Fuhrmann},
        title = {Multi-View Modeling and Pragmatics in 2020,
                  Position Paper on Designing Complex Cyber-Physical
                  Systems},
        booktitle = {Proceedings of the 17th International Monterey
                  Workshop on Development, Operation and Management
                  of Large-Scale Complex IT System, to appear.},
        organization = {LNCS},
        day = {19},
        month = {March},
        year = {2012},
        abstract = {<i>Multi-view modeling</i> refers to a system
                  designer constructing distinct and separate models
                  of the same system to model different (semantic)
                  aspects of a system. <i>Modeling pragmatics</i>
                  also entails constructing different views of a
                  system, but here the focus is on
                  syntactic/pragmatic aspects, and the views are
                  constructed automatically by filtering and drawing
                  algorithms. <p> In this paper, we argue that both
                  approaches will have growing influence on
                  model-based design, in particular for complex
                  cyber-physical systems, and we identify a number
                  of general developments that seem likely to
                  contribute to this until 2020. This includes
                  notably the trend towards domain-specific
                  modeling and agile development, novel input
                  devices, and the move to the cloud. We also report
                  on preliminary practical results in this area with
                  two modeling environments, Ptolemy and KIELER, and
                  the lessons learned from their combined usage. },
        URL = {http://chess.eecs.berkeley.edu/pubs/905.html}
    }
    

Posted by Mary Stewart on 12 Apr 2012.
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