Assurances for Self-Adaptive Systems Principles, Models, and Techniques /

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 syst...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Cámara, Javier (Editor), Lemos, Rogério de (Editor), Ghezzi, Carlo (Editor), Lopes, Antónia (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Series:Lecture Notes in Computer Science, 7740
Subjects:
Online Access:Full Text via HEAL-Link
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.