This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
In this paper, a method is presented for the efficient estimation of rare-event (buffer overflow) probabilities in queueing networks using importance sampling. Unlike previously pr...
Among the possible approaches for expressing real-time problems with the B method, two are dominant : the use of the usual B mechanisms to define temporal constraints on the one h...
In this paper we report some progress in applying timed automata technology to large-scale problems. We focus on the problem of finding maximal stabilization time for combinationa...
Users need to be strongly involved in the specification process of network information systems. Characteristics of user-driven specification are described, and process composition ...