Models are increasingly recognized as an effective means for elaborating requirements and exploring designs. For complex systems, model building is far from an easy task. Efforts ...
Christophe Damas, Bernard Lambeau, Axel van Lamswe...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
This paper describes the application of the Real-Time Maude tool to the formal specification and analysis of the CASH scheduling algorithm and its suggested modifications. The CASH...
Abstract. Embedded system design complexities are growing exponentially. Demand has increased for modeling techniques that can provide both accurate measurements of delay and fast ...
Complex and dynamic interaction behaviors in applications such as Virtual Reality (VR) systems are difficult to design and develop. Reasons for this include the complexity and lim...