Software Engineering for Self-Adaptive Systems
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 recognised its key role in enabling the development of future software systems that a
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Betty H.C. Cheng Rogério de Lemos Holger Giese Paola Inverardi Jeff Magee (Eds.)
Software Engineering for Self-Adaptive Systems
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Volume Editors Betty H.C. Cheng Michigan State University, Department of Computer Science and Engineering 3115 Engineering Building, East Lansing, MI 48824-1226, USA E-mail: [email protected] Rogério de Lemos University of Kent, Computing Laboratory Canterbury, Kent CT2 7NF, UK E-mail: [email protected] Holger Giese Hasso Plattner Institute for Software Systems Engineering Prof.-Dr.-Helmert-Str. 2-3, 14482 Potsdam, Germany E-mail: [email protected] Paola Inverardi Università dell’Aquila, Dipartimento di Informatica 67100 L’Aquila, Italy E-mail: [email protected] Jeff Magee Imperial College, Department of Computing 180 Queen’s Gate, London SW7 2BZ, UK E-mail: [email protected]
Library of Congress Control Number: 2009928525 CR Subject Classification (1998): D.2, D.3, F.1.1, I.2.2 LNCS Sublibrary: SL 2 – Programming and Software Engineering ISSN ISBN-10 ISBN-13
0302-9743 3-642-02160-3 Springer Berlin Heidelberg New York 978-3-642-02160-2 Springer Berlin Heidelberg New York
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Preface
The complexity of current software-based systems has led the software engineering community to look for inspiration in diverse related fields (e.g., robotics and control theory) as well as other areas (e.g., biology) to find innovative appro
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