Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
COMDES-II is a component-based software framework intended for Model Integrated Computing (MIC) of embedded control systems with hard real-time constraints. We present a transforma...
Xu Ke, Paul Pettersson, Krzysztof Sierszecki, Chri...
Modern multiprocessor embedded systems execute a large number of tasks on shared processors and handle their complex communications on shared communication networks. Traditional m...
Lothar Thiele, Iuliana Bacivarov, Wolfgang Haid, K...
Abstract— The next generation of embedded computing systems will have to meet new challenges. The systems are expected to act mainly autonomously, to dynamically adapt to changin...
An emerging common trend in model-based design of embedded software and systems is the adoption of Domain-Specific Modeling Languages (DSMLs). While syntax metamodeling enables th...