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Software Engineering for Self-Adaptive Systems

  • Book
  • © 2009

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Overview

Editors:
  1. Betty H. C. Cheng

    1. Department of Computer Science and Engineering, Michigan State University, East Lansing, USA

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  2. Rogério Lemos

    1. Computing Laboratory, Canterbury, University of Kent, Kent, UK

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  3. Holger Giese

    1. Hasso Plattner Institute for Software Systems Engineering Prof.-Dr., Potsdam, Germany

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  4. Paola Inverardi

    1. Dipartimento di Informatica, Università dell’Aquila, L’Aquila, Italy

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  5. Jeff Magee

    1. Department of Computing, Imperial College, London, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5525)

Part of the book sub series: Programming and Software Engineering (LNPSE)

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About this book

Although the self-adaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognized its key role in enabling the development of future software systems that are able to self-adapt to changes that may occur in the system, its requirements, or the environment in which it is deployed.

The 12 carefully reviewed papers included in this state-of-the-art survey originate from the International Seminar on Software Engineering for Self-Adaptive Systems, held in Dagstuhl Castle, Germany, in January 2008. They examine the current state-of-the-art in the field, describing a wide range of approaches coming from different strands of software engineering, and present future challenges facing this ever-resurgent and challenging field of research. Also included in this book is an invited roadmap paper on the research challenges facing self-adaptive systems within the area of software engineering, based on discussions at the Dagstuhl Seminar and put together by several of its participants. The papers have been divided into topical sections on architecture-based self-adaptation, context-aware and model-driven self-adaptation, and self-healing. These are preceded by three research roadmap papers.

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Table of contents (13 chapters)

  1. Front Matter

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  2. Part 1: Research Roadmap

    1. Software Engineering for Self-Adaptive Systems: A Research Roadmap

      • Betty H. C. Cheng, Rogério de Lemos, Holger Giese, Paola Inverardi, Jeff Magee, Jesper Andersson et al.
      Pages 1-26
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    2. Modeling Dimensions of Self-Adaptive Software Systems

      • Jesper Andersson, Rogério de Lemos, Sam Malek, Danny Weyns
      Pages 27-47
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    3. Engineering Self-Adaptive Systems through Feedback Loops

      • Yuriy Brun, Giovanna Di Marzo Serugendo, Cristina Gacek, Holger Giese, Holger Kienle, Marin Litoiu et al.
      Pages 48-70
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  3. Part 2: Architecture-Based Self-Adaptation

    1. Improving Architecture-Based Self-Adaptation through Resource Prediction

      • Shang-Wen Cheng, Vahe V. Poladian, David Garlan, Bradley Schmerl
      Pages 71-88
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    2. Policy-Based Architectural Adaptation Management: Robotics Domain Case Studies

      • John C. Georgas, Richard N. Taylor
      Pages 89-108
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    3. A Case Study in Goal-Driven Architectural Adaptation

      • William Heaven, Daniel Sykes, Jeff Magee, Jeff Kramer
      Pages 109-127
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  4. Part 3: Context-Aware and Model-Driven Self-Adaptation

    1. Model-Centric, Context-Aware Software Adaptation

      • Oscar Nierstrasz, Marcus Denker, Lukas Renggli
      Pages 128-145
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    2. Modeling of Context-Aware Self-Adaptive Applications in Ubiquitous and Service-Oriented Environments

      • Kurt Geihs, Roland Reichle, Michael Wagner, Mohammad Ullah Khan
      Pages 146-163
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    3. MUSIC: Middleware Support for Self-Adaptation in Ubiquitous and Service-Oriented Environments

      • Romain Rouvoy, Paolo Barone, Yun Ding, Frank Eliassen, Svein Hallsteinsen, Jorge Lorenzo et al.
      Pages 164-182
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    4. Using Architecture Models to Support the Generation and Operation of Component-Based Adaptive Systems

      • Nelly Bencomo, Gordon Blair
      Pages 183-200
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    5. Model-Driven Assessment of QoS-Aware Self-Adaptation

      • Vincenzo Grassi, Raffaela Mirandola, Enrico Randazzo
      Pages 201-222
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  6. Back Matter

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Reviews

From the reviews:

"This book presents 13 papers written by experts in the area of SE and adaptive systems. … Overall, the book is well structured. It should be interesting to an academic audience." (Michele Mazzucco, ACM Computing Reviews, November, 2009)

Editors and Affiliations

  • Department of Computer Science and Engineering, Michigan State University, East Lansing, USA

    Betty H. C. Cheng

  • Computing Laboratory, Canterbury, University of Kent, Kent, UK

    Rogério Lemos

  • Hasso Plattner Institute for Software Systems Engineering Prof.-Dr., Potsdam, Germany

    Holger Giese

  • Dipartimento di Informatica, Università dell’Aquila, L’Aquila, Italy

    Paola Inverardi

  • Department of Computing, Imperial College, London, UK

    Jeff Magee

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