
Assurances for Self-Adaptive Systems
Principles, Models, and Techniques
Springer (Publisher)
Published on 9. January 2013
Book
Paperback/Softback
X, 341 pages
978-3-642-36248-4 (ISBN)
Description
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.
More details
Series
Edition
2013 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
94 s/w Abbildungen
X, 341 p. 94 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 20 mm
Weight
534 gr
ISBN-13
978-3-642-36248-4 (9783642362484)
DOI
10.1007/978-3-642-36249-1
Schweitzer Classification
Other editions
Additional editions

Javier Cámara | Rogério de Lemos | Carlo Ghezzi
Assurances for Self-Adaptive Systems
Principles, Models, and Techniques
E-Book
01/2013
Springer
€53.49
Available for download
Content
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.