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Metadata and Adaptive Object-Models

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Object-Oriented Technology (ECOOP 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1964))

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Abstract

The unrelenting pace of change that confronts contemporary software developers compels them to make their applications more configurable, flexible, and adaptable. A way to meet such requirements is to use an Adaptive Object- Model (AOM). This paper describes common architectures for adaptive object-models and summarizes the results from our ECOOP 2000 workshop. Participants to this workshop focused on comparisons between the Adaptive Object-Model’s approach and those of Reflection and Metamodeling. It emerged that there are common themes present in all three approaches and that these approaches can complimen5t one another for assisting developers in designing and building systems that can more quickly adapt to new and changing business requirements.

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References

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Author information

Authors and Affiliations

  1. The Refactory, Inc., 209W. Iowa, 61801, Urbana, IL, USA

    Joseph W. Yoder

  2. LIP6 - CNRS, University of Paris 6, Case 169, 4, place Jussieu, 75252, PARIS Cedex 05, FRANCE

    Reza Razavi

Authors
  1. Joseph W. Yoder
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  2. Reza Razavi
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Editor information

Editors and Affiliations

  1. Karlsruhe University, Germany

    Gerhard Goos

  2. Cornell University, NY, USA

    Juris Hartmanis

  3. Utrecht University, The Netherlands

    Jan van Leeuwen

  4. Université de Bretagne sud, 1, rue de la Loi, 56000, Vannes, France

    Jacques Malenfant

  5. Inria/Sophia Antipolis, BP 93, 06902, Sophia Antipolis Cedex, France

    Sabine Moisan

  6. Faculdade de Ciências e Tecnologia Departamento de Informática, Universidade Nova de Lisboa, 2825-114, Caparica, Portugal

    Ana Moreira

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© 2000 Springer-Verlag Berlin Heidelberg

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Yoder, J.W., Razavi, R. (2000). Metadata and Adaptive Object-Models. In: Goos, G., Hartmanis, J., van Leeuwen, J., Malenfant, J., Moisan, S., Moreira, A. (eds) Object-Oriented Technology. ECOOP 2000. Lecture Notes in Computer Science, vol 1964. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44555-2_9

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  • DOI: https://doi.org/10.1007/3-540-44555-2_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41513-8

  • Online ISBN: 978-3-540-44555-5

  • eBook Packages: Springer Book Archive

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