Assurances for Self-Adaptive Systems

Principles, Models, and Techniques

  • Javier Cámara
  • Rogério de Lemos
  • Carlo Ghezzi
  • Antónia Lopes

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7740)

Table of contents

  1. Front Matter
  2. Formal Verification

    1. Maxime Cordy, Andreas Classen, Patrick Heymans, Axel Legay, Pierre-Yves Schobbens
      Pages 1-29
    2. Antonio Filieri, Giordano Tamburrelli
      Pages 30-59
    3. Gwen Salaün, Xavier Etchevers, Noel De Palma, Fabienne Boyer, Thierry Coupaye
      Pages 60-79
    4. Florian Nafz, Jan-Philipp Steghöfer, Hella Seebach, Wolfgang Reif
      Pages 80-111
    5. Claudia Priesterjahn, Dominik Steenken, Matthias Tichy
      Pages 112-151
  3. Models and Middleware

    1. Gerald Steinbauer, Franz Wotawa
      Pages 187-213
    2. Luciano Baresi, Sam Guinea, Panteha Saeedi
      Pages 214-239
  4. Failure Prediction

    1. Andreas Metzger, Osama Sammodi, Klaus Pohl
      Pages 240-265
    2. Brady J. Garvin, Myra B. Cohen, Matthew B. Dwyer
      Pages 266-296
  5. Assurance Techniques

    1. Alessio Gambi, Giovanni Toffetti, Mauro Pezzè
      Pages 311-339
  6. Back Matter

About this book

Introduction

The increasing complexity of systems and the growing uncertainty in their operational environments have created a critical need to develop systems able to improve their operation, adapt to change, and recover from failures autonomously. This situation has led to recent advances in self-adaptive systems able to reconfigure their structure and modify their behavior at run-time to adapt to environmental changes. Despite these advances, one key aspect of self-adaptive systems that remains to be tackled in depth is "assurances": the provision of evidence that the system satisfies its stated functional and non-functional requirements during its operation in the presence of self-adaptation. This book is one of the outcomes of the ESEC/FSE 2011 Workshop on Assurances for Self-Adaptive Systems (ASAS), held in Szeged, Hungary, in September 2011. It contains extended versions of some of the papers presented during the workshop, as well as invited papers from recognized experts. The 12 refereed papers were thoroughly reviewed and selected. The book consists of four parts: formal verification, models and middleware, failure prediction, and assurance techniques.

Keywords

cloud computing model checking model-driven development software engineering system reconfiguration

Editors and affiliations

  • Javier Cámara
    • 1
  • Rogério de Lemos
    • 2
  • Carlo Ghezzi
    • 3
  • Antónia Lopes
    • 4
  1. 1.Department of Informatics EngineeringUniversity of CoimbraCoimbraPortugal
  2. 2.School of ComputingUniversity of KentCanterburyUK
  3. 3.Dipartimento di Elettronica e InformazionePolitecnico di MilanoMilanoItaly
  4. 4.Faculty of SciencesUniversity of LisbonPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-36249-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-36248-4
  • Online ISBN 978-3-642-36249-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book