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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Auteurs principaux : | , , , , |
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Format : | Livre |
Langue : | anglais |
Titre complet : | Assurances for Self-Adaptive Systems : Principles, Models, and Techniques / edited by Javier Cámara, Rogério Lemos, Carlo Ghezzi, Antónia Lopes. |
Édition : | 1st ed. 2013. |
Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, [20..] Cham : Springer Nature |
Collection : | Programming and Software Engineering ; 7740 |
Accès en ligne : |
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Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
Contenu : | 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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Documents associés : | Autre format:
Assurances for Self-Adaptive Systems Autre format: Assurances for Self-Adaptive Systems |
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