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On the Complex Nature of MDE Evolution

  • Conference paper
Model-Driven Engineering Languages and Systems (MODELS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8107))

Abstract

In Model-Driven Engineering (MDE) the employed setting of languages as well as automated and manual activities has major impact on productivity. Furthermore, such settings for MDE evolve over time. However, currently only the evolution of (modeling) languages, tools, and transformations is studied in research. It is not clear whether these are the only relevant changes that characterize MDE evolution in practice. In this paper we address this lack of knowledge. We first discuss possible changes and then report on a first study that demonstrates that these forms of evolution can be commonly observed in practice. To investigate the complex nature of MDE evolution in more depth, we captured the evolution of three MDE settings from practice and derive eight observations concerning reasons for MDE evolution. Based on the observations we then identify open research challenge concerning MDE evolution.

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Author information

Authors and Affiliations

  1. Hasso Plattner Institute at the University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, D-14482, Potsdam, Germany

    Regina Hebig, Holger Giese & Andreas Seibel

  2. SAP AG, Hasso-Plattner-Ring 7, D-69190, Walldorf, Germany

    Florian Stallmann

Authors
  1. Regina Hebig
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  2. Holger Giese
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  3. Florian Stallmann
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  4. Andreas Seibel
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Editor information

Editors and Affiliations

  1. Faculdade de Ciências e Tecnologia, Departamento de Informática, Universidade Nova de Lisboa, 2829-516, Caparica, Portugal

    Ana Moreira

  2. Institut für Mathematik, fortiss / Technische Universität München, Guerickestraße 25, 80805, München, Germany

    Bernhard Schätz

  3. Department of Computer Science, University of Alabama, Box 870290, 35487-0290, Tuscaloosa, AL, USA

    Jeff Gray

  4. ETSI Informática, Universidad de Málaga, Campus de Teatinos, Bulevar Louis Pasteur 35, 29071, Málaga, Spain

    Antonio Vallecillo

  5. School of Computing and Information Sciences, College of Engineering and Computing, Florida International University, 33199, Miami, FL, USA

    Peter Clarke

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Hebig, R., Giese, H., Stallmann, F., Seibel, A. (2013). On the Complex Nature of MDE Evolution. In: Moreira, A., Schätz, B., Gray, J., Vallecillo, A., Clarke, P. (eds) Model-Driven Engineering Languages and Systems. MODELS 2013. Lecture Notes in Computer Science, vol 8107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41533-3_27

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  • DOI: https://doi.org/10.1007/978-3-642-41533-3_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41532-6

  • Online ISBN: 978-3-642-41533-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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