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Self-Aware Computing Systems
This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing system...
Software Engineering for Self-Adaptive Systems
Although the self-adaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognized its key role in enabling the development of future software systems that are able to self-adapt to changes that may occur in the system, its requirements, or the environment in which it is deployed. The 12 carefully reviewed papers included in this state-of-the-art survey originate from the International Seminar on Software Engineering for Self-Adaptive Systems, held in Dagstuhl Castle, Germany, in January 2008. They examine the current state-of-the-art in the field, describing a wide range of approaches coming fr...
Software Engineering for Variability Intensive Systems
This book addresses the challenges in the software engineering of variability-intensive systems. Variability-intensive systems can support different usage scenarios by accommodating different and unforeseen features and qualities. The book features academic and industrial contributions that discuss the challenges in developing, maintaining and evolving systems, cloud and mobile services for variability-intensive software systems and the scalability requirements they imply. The book explores software engineering approaches that can efficiently deal with variability-intensive systems as well as applications and use cases benefiting from variability-intensive systems.
Modell-basierte Verifikation von vernetzten mechatronischen Systemen
Beim Entwurf selbstoptimierender, mechatronischer Systeme stellt die eingebettete Software einen grossen Teil der Wertschopfung dar. Typischerweise werden Regelungen oder Steuerungen in Software umgesetzt. Durch die starke Vernetzung selbstoptimierender Systeme wird Software auch zur nachrichtenbasierten Kommunikation und Koordination zwischen den einzelnen verteilten selbstoptimierenden Systemen eingesetzt. Diese Kommunikation geht uber die Aufnahme von System- und Umweltdaten durch Sensorik hinaus. Hier werden ggf. komplexe Zustandsinformationen uber entsprechende Protokolle und zugrunde liegende Kommunikationskanale ausgetauscht, die dann wieder das Verhalten bzw. die zugrunde liegenden B...
