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Metamodel Independence in Domain Specific Modeling Languages

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Software and Data Technologies (ICSOFT 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 411))

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Abstract

Domain-specific modeling languages can simplify the development of complex software systems by providing domain-specific abstractions for modeling the system and its evolution in a precise but simple and concise way. In this work we elaborate on the notion of domain specific model manipulation language, that is to say a model manipulation language tailored to a specific domain. In contrast to well-known model manipulation languages, such as EOL or ATL, the language syntax and semantics are directly related to a specific domain and/or kind of manipulation, making manipulation easier to write and understand. Furthermore, we show how additional languages can be defined for the same domain and we discuss about implementation alternatives achieving complete platform-independence. We illustrate the proposal through a practical example in the domain of workout plans.

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Author information

Authors and Affiliations

  1. LIFIA, Facultad de Informática, Universidad Nacional de La Plata, Argentina

    Jerónimo Irazábal & Claudia Pons

  2. CONICET, Consejo Nacional de Investigaciones Científicas y Técnica, Argentina

    Jerónimo Irazábal

  3. UAI, Universidad Abierta Interamericana, Buenos Aires, Argentina

    Claudia Pons

Authors
  1. Jerónimo Irazábal
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  2. Claudia Pons
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Editor information

Editors and Affiliations

  1. Department of Systems and Informatics, INSTICC / IPS, Rua do Vale de Chaves, Estefanilha, 2910-761, Setúbal, Portugal

    José Cordeiro

  2. Université d’Angers, France

    Slimane Hammoudi

  3. University of Twente, Enschede, The Netherlands

    Marten van Sinderen

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Irazábal, J., Pons, C. (2013). Metamodel Independence in Domain Specific Modeling Languages. In: Cordeiro, J., Hammoudi, S., van Sinderen, M. (eds) Software and Data Technologies. ICSOFT 2012. Communications in Computer and Information Science, vol 411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45404-2_10

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  • DOI: https://doi.org/10.1007/978-3-642-45404-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45403-5

  • Online ISBN: 978-3-642-45404-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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