A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
The basic finite automata model has been extended over the years with different acceptance modes (nondeterminism, alternation), new or improved devices (two-way heads, pebbles, ...
A notion of diagnosability for hybrid systems is defined, which generalizes the notion of observability. We verify bility properties on a timed automaton abstraction of the origina...
Maria Domenica Di Benedetto, Stefano Di Gennaro, A...
The Isabelle Collections Framework (ICF) provides a unified framework for using verified collection data structures in Isabelle/HOL formalizations and generating efficient functi...
Abstract. Reo is a channel-based coordination model whose operational semantics is given by Constraint Automata (CA). Quantitative Constraint Automata extend CA (and hence, Reo) wi...
Farhad Arbab, Tom Chothia, Rob van der Mei, Sun Me...