Titlebook: Assurances for Self-Adaptive Systems; Principles, Models, Javier Cámara,Rogério Lemos,Antónia Lopes Book 2013 Springer-Verlag Berlin Heide

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https://doi.org/10.1007/978-3-8350-9338-6onents at runtime. Modeling is based on a syntactically and semantically rigorously defined and partially refined subset of UML. Verification is based on a special type of decomposition and compositional model checking to make it scalable.

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Untersuchungsdesign und Datenerhebung,ue to false negative predictions). This book chapter reviews solutions for measuring and ensuring the accuracy of online service quality predictions. It critically analyses their applicability in the setting of third-party services and supports this analysis with empirical data.

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Introduction

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Model-Driven Development of Safe Self-optimizing Mechatronic Systems with MechatronicUMLonents at runtime. Modeling is based on a syntactically and semantically rigorously defined and partially refined subset of UML. Verification is based on a special type of decomposition and compositional model checking to make it scalable.

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0302-9743 plexity 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 reconf

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Book 2013presented 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.