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International Conference on Fundamental Approaches to Software Engineering

FASE 2012: Fundamental Approaches to Software Engineering pp 240–254Cite as

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A Conceptual Framework for Adaptation

A Conceptual Framework for Adaptation

  • Roberto Bruni18,
  • Andrea Corradini18,
  • Fabio Gadducci18,
  • Alberto Lluch Lafuente19 &
  • …
  • Andrea Vandin19 
  • Conference paper
  • 2385 Accesses

  • 49 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7212)

Abstract

In this position paper we present a conceptual vision of adaptation, a key feature of autonomic systems. We put some stress on the role of control data and argue how some of the programming paradigms and models used for adaptive systems match with our conceptual framework.

Keywords

  • Adaptivity
  • autonomic systems
  • control data
  • MAPE-K control loop

Research supported by the European Integrated Project 257414 ASCENS.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università di Pisa, Italy

    Roberto Bruni, Andrea Corradini & Fabio Gadducci

  2. IMT Institute for Advanced Studies, Lucca, Italy

    Alberto Lluch Lafuente & Andrea Vandin

Authors
  1. Roberto Bruni
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  2. Andrea Corradini
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  3. Fabio Gadducci
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  4. Alberto Lluch Lafuente
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  5. Andrea Vandin
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Editor information

Editors and Affiliations

  1. School of Computer Science, Universidad Autónoma de Madrid, Campus Cantoblanco, 28049, Madrid, Spain

    Juan de Lara

  2. School of Informatics, City University, Northampton Square, EC1V 0HB, London, UK

    Andrea Zisman

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Bruni, R., Corradini, A., Gadducci, F., Lluch Lafuente, A., Vandin, A. (2012). A Conceptual Framework for Adaptation. In: de Lara, J., Zisman, A. (eds) Fundamental Approaches to Software Engineering. FASE 2012. Lecture Notes in Computer Science, vol 7212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28872-2_17

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  • DOI: https://doi.org/10.1007/978-3-642-28872-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28871-5

  • Online ISBN: 978-3-642-28872-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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