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Assurances for Self-Adaptive Systems [electronic resource] : Principles, Models, and Techniques / edited by Javier Cámara, Rogério de Lemos, Carlo Ghezzi, Antonia Lopes.

Contributor(s): Cámara, Javier [editor.] | de Lemos, Rogério [editor.] | Ghezzi, Carlo [editor.] | Lopes, Antonia [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Programming and Software Engineering: 7740Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Edition: 1st ed. 2013.Description: X, 341 p. 94 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642362491.Subject(s): Software engineering | Computer science | Compilers (Computer programs) | Computer networks  | Operating systems (Computers) | Software Engineering | Computer Science Logic and Foundations of Programming | Compilers and Interpreters | Computer Communication Networks | Operating SystemsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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