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An Observer-Based Notion of Model Inheritance

  • Conference paper
Model Driven Engineering Languages and Systems (MODELS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6394))

Abstract

A model-based engineering discipline presupposes that models are organised by creating relationships between them. While there has been considerable work on understanding what it means to instantiate one model from another, little is known about when a model should be considered to be a specialisation of another one. This paper motivates and discusses ways of defining specialisation relationships between models, languages, and transformations respectively. Several alternatives of defining a specialisation relationship are considered and discussed. The paper’s main contribution is the introduction of the notions of an observer and a context in order to define and validate specialisation relationships. The ideas and discussions presented in this paper are meant to provide a stepping stone towards a systematic basis for organising models.

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Author information

Authors and Affiliations

  1. Victoria University of Wellington, P.O. Box 600, Wellington, 6140, New Zealand

    Thomas Kühne

Authors
  1. Thomas Kühne
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Editor information

Editors and Affiliations

  1. Department of Systems and Computer Engineering, Carleton University, 1125 Colonel By Drive, K1S 5BG, Ottawa, Ontario, Canada

    Dorina C. Petriu

  2. Jet Propulsion Laboratory, Flight Software Systems Engineering and Srchitecture Group, 4800 Oak Grove Drive, 91109, Pasadena, CA, USA

    Nicolas Rouquette

  3. SINTEF IKT, Forskningsveien 1, 0373, Oslo, Norway

    Øystein Haugen

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Kühne, T. (2010). An Observer-Based Notion of Model Inheritance. In: Petriu, D.C., Rouquette, N., Haugen, Ø. (eds) Model Driven Engineering Languages and Systems. MODELS 2010. Lecture Notes in Computer Science, vol 6394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16145-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-16145-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16144-5

  • Online ISBN: 978-3-642-16145-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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