This dissertation thesis presents an approach enabling the modelling and quality-of-service prediction of event-based systems at the architecture-level. Applying a two-step model refinement transformation, the approach integrates platform-specific performance influences of the underlying middleware while enabling the use of different existing analytical and simulation-based prediction techniques.

In spite of the striking abundance of extant primary material, Byzantine epigraphy remains uncharted territory. The volume of the Proceedings of the 49th SPBS Spring Symposium aims to promote the field of Byzantine epigraphy as a whole, and topics and subjects covered include: Byzantine attitudes towards the inscribed word, the questions of continuity and transformation, the context and function of epigraphic evidence, the levels of formality and authority, the material aspect of writing, and the verbal, visual and symbolic meaning of inscribed texts. The collection is intended as a valuable scholarly resource presenting and examining a substantial quantity of diverse epigraphic material, and outlining the chronological development of epigraphic habits, and of individual epigraphic genres in Byzantium. The contributors also discuss the methodological questions of collecting, presenting and interpreting the most representative Byzantine inscriptional material, and addressing epigraphic material to make it relevant to a wider scholarly community.

Although tremendous progress has been made in Artificial Intelligence (AI), it entails new challenges. The growing complexity of learning tasks requires more complex AI components, which increasingly exhibit unreliable behaviour. In this book, we present a model-driven approach to model architectural safeguards for AI components and analyse their effect on the overall system reliability.

Die modellbasierte Performancevorhersage ist ein bekanntes Konzept zur Gewährleistung der Softwarequalität. Derzeitige Ansätze basieren auf einem Modell mit einer Metrik, was zu ungenauen Vorhersagen für moderne Architekturen führt. In dieser Arbeit wird ein Multi-Strategie-Ansatz zur Erweiterung von Performancevorhersagemodellen zur Unterstützung von Multicore-Architekturen vorgestellt, in Palladio implementiert und dadurch die Genauigkeit der Vorhersage deutlich verbessert. - Model-based performance prediction is a well-known concept to ensure the quality of software. Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction models to support multicore architectures. We implemented the strategies into Palladio and significantly increased the performance prediction power.

This cumulative habilitation thesis, proposes concepts for (i) modelling and analysing dependability based on architectural models of software-intensive systems early in development, (ii) decomposition and composition of modelling languages and analysis techniques to enable more flexibility in evolution, and (iii) bridging the divergent levels of abstraction between data of the operation phase, architectural models and source code of the development phase.