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Support for Design Patterns through Graph Transformation Tools

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Applications of Graph Transformations with Industrial Relevance (AGTIVE 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1779))

Abstract

A suitable software architecture —for example in the area of distributed application— can be composed of known-to-work solutions. These are also known as design patterns. However, there is little tool support for the construction of an application that conforms to design patterns. In most cases, the patterns are captured informally as descriptions in natural language. Our approach uses graph queries and graph rewriting rules to specify the patterns. A prototype that is able to execute these rules can be generated from the graph grammar specification by means of the PROGRES environment. The advantages of this approach are twofold: (1) patterns are specified on a high level of abstraction and (2) the resulting tools can be easily adapted to new patterns.

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Author information

Authors and Affiliations

  1. Institute for Software Technology, University of the Federal Armed Forces Munich, 85577, Neubiberg, Germany

    Ansgar Radermacher

Authors
  1. Ansgar Radermacher
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Editor information

Editors and Affiliations

  1. Department of Computer Science III, Aachen University of Technology (RWTH), Ahornstr. 55, 52074, Aachen, Germany

    Manfred Nagl  & Manfred Münch  & 

  2. Institute for Software Technology, Department of Computer Science, University of the German Federal Armed Forces Munich, Werner-Heisenberg-Weg 39, 85579, Neubiberg, Germany

    Andreas Schürr

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© 2000 Springer-Verlag Berlin Heidelberg

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Radermacher, A. (2000). Support for Design Patterns through Graph Transformation Tools. In: Nagl, M., Schürr, A., Münch, M. (eds) Applications of Graph Transformations with Industrial Relevance. AGTIVE 1999. Lecture Notes in Computer Science, vol 1779. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45104-8_9

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  • DOI: https://doi.org/10.1007/3-540-45104-8_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67658-4

  • Online ISBN: 978-3-540-45104-4

  • eBook Packages: Springer Book Archive

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