Assurances for Self-Adaptive Systems

1. Front Matter

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2. Formal Verification

   1. Model Checking Adaptive Software with Featured Transition Systems

      • Maxime Cordy, Andreas Classen, Patrick Heymans, Axel Legay, Pierre-Yves Schobbens

      Pages 1-29

   2. Probabilistic Verification at Runtime for Self-Adaptive Systems

      • Antonio Filieri, Giordano Tamburrelli

      Pages 30-59

   3. Verification of a Self-configuration Protocol for Distributed Applications in the Cloud

      • Gwen Salaün, Xavier Etchevers, Noel De Palma, Fabienne Boyer, Thierry Coupaye

      Pages 60-79

   4. Formal Modeling and Verification of Self-* Systems Based on Observer/Controller-Architectures

      • Florian Nafz, Jan-Philipp Steghöfer, Hella Seebach, Wolfgang Reif

      Pages 80-111

   5. Timed Hazard Analysis of Self-healing Systems

      • Claudia Priesterjahn, Dominik Steenken, Matthias Tichy

      Pages 112-151

3. Models and Middleware

   1. Model-Driven Development of Safe Self-optimizing Mechatronic Systems with MechatronicUML

      • Holger Giese, Wilhelm Schäfer

      Pages 152-186

   2. Model-Based Reasoning for Self-Adaptive Systems – Theory and Practice

      • Gerald Steinbauer, Franz Wotawa

      Pages 187-213

   3. Achieving Self-adaptation through Dynamic Group Management

      • Luciano Baresi, Sam Guinea, Panteha Saeedi

      Pages 214-239

4. Failure Prediction

   1. Accurate Proactive Adaptation of Service-Oriented Systems

      • Andreas Metzger, Osama Sammodi, Klaus Pohl

      Pages 240-265

   2. Failure Avoidance in Configurable Systems through Feature Locality

      • Brady J. Garvin, Myra B. Cohen, Matthew B. Dwyer

      Pages 266-296

5. Assurance Techniques

   1. Emerging Techniques for the Engineering of Self-Adaptive High-Integrity Software

      • Radu Calinescu

      Pages 297-310

   2. Assurance of Self-adaptive Controllers for the Cloud

      • Alessio Gambi, Giovanni Toffetti, Mauro Pezzè

      Pages 311-339

6. Back Matter

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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.

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

• Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

  Javier Cámara

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

  Rogério Lemos

• Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy

  Carlo Ghezzi

• Faculty of Sciences, University of Lisbon, Portugal

  Antónia Lopes

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