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Computer Science - Software Engineering | Assurances for Self-Adaptive Systems - Principles, Models, and Techniques

Assurances for Self-Adaptive Systems

Principles, Models, and Techniques

Cámara, J., de Lemos, R., Ghezzi, C., Lopes, A. (Eds.)

2013, X, 341 p. 94 illus.

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  • Contains papers from recognized experts
  • Valuable for both practitioners and researchers
  • Stepping stone for future research
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.

Content Level » Research

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

Related subjects » Communication Networks - Software Engineering - Theoretical Computer Science

Table of contents 

Model Checking Adaptive Software with Featured Transition Systems.- Probabilistic Verification at Runtime for Self-Adaptive Systems.- Verification of a Self-configuration Protocol for Distributed Applications in the Cloud.- Formal Modeling and Verification of Self-* Systems Based on Observer/Controller-Architectures.- Timed Hazard Analysis of Self-healing Systems.- Model-Driven Development of Safe Self-optimizing Mechatronic Systems with MechatronicUML.- Model-Based Reasoning for Self-Adaptive Systems – Theory and Practice.- Achieving Self-adaptation through Dynamic Group Management.- Accurate Proactive Adaptation of Service-Oriented Systems.- Failure Avoidance in Configurable Systems through Feature Locality.- Emerging Techniques for the Engineering of Self Adaptive High-Integrity Software.- Assurance of Self-adaptive Controllers for the Cloud.

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