Knowledge processing is very demanding on computer architectures. Knowledge processing generates subcomputation paths at an exponential rate. It is memory intensive and has high c...
Recently we proposed a mathematical framework offering diverse models of computation and a formal foundation for correct-byconstruction deployment of synchronous designs over dist...
: The available evidence in a legacy software system, which can help in its understanding and recovery of its architecture are not always sufficient. Very often the system's d...
In the long-term evolution of a Software Product Line (SPL), how to ensure the alignment between the reference and application architectures is a critical problem. Existing ad-hoc...
This paper describes a fully automatic twostage machine learning architecture that learns temporal relations between pairs of events. The first stage learns the temporal attribut...