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Overview of Generative Software Development

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Unconventional Programming Paradigms (UPP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3566))

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Abstract

System family engineering seeks to exploit the commonalities among systems from a given problem domain while managing the variabilities among them in a systematic way. In system family engineering, new system variants can be rapidly created based on a set of reusable assets (such as a common architecture, components, models, etc.). Generative software development aims at modeling and implementing system families in such a way that a given system can be automatically generated from a specification written in one or more textual or graphical domain-specific languages. This paper gives an overview of the basic concepts and ideas of generative software development including DSLs, domain and application engineering, generative domain models, networks of domains, and technology projections. The paper also discusses the relationship of generative software development to other emerging areas such as Model Driven Development and Aspect-Oriented Software Development.

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Author information

Authors and Affiliations

  1. University of Waterloo, Canada

    Krzysztof Czarnecki

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  1. Krzysztof Czarnecki
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Editors and Affiliations

  1. Université de Rennes I and INRIA/IRISA, Campus de Beaulieu, 35042, Rennes Cedex, France

    Jean-Pierre Banâtre

  2. INRIA Rhône-Alpes - POP ART project, 655 avenue de l’Europe, 38330, Montbonnot, France

    Pascal Fradet

  3. LaMI UMR 8042 CNRS – Université d’Evry, Genopole, 523 place des Terrasses de l’Agora, 91000, Evry, France

    Jean-Louis Giavitto  & Olivier Michel  & 

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© 2005 Springer-Verlag Berlin Heidelberg

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Czarnecki, K. (2005). Overview of Generative Software Development. In: Banâtre, JP., Fradet, P., Giavitto, JL., Michel, O. (eds) Unconventional Programming Paradigms. UPP 2004. Lecture Notes in Computer Science, vol 3566. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527800_25

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  • DOI: https://doi.org/10.1007/11527800_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27884-9

  • Online ISBN: 978-3-540-31482-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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