We develop a general testing scenario for probabilistic processes, giving rise to two theories: probabilistic may testing and probabilistic must testing. These are applied to a si...
Yuxin Deng, Rob J. van Glabbeek, Matthew Hennessy,...
—Constraint satisfaction problems (CSPs) widely occur in artificial intelligence. In the last twenty years, many algorithms and heuristics were developed to solve CSP. Recently,...
Abstract Subtyping relations for object-oriented formalisms describe relationships between super- and subclasses which satisfy the substitutability requirement imposed on types and...
Abstract. Circus is a combination of Z and CSP that supports the development of state-rich reactive systems based on refinement. In this paper we present JCircus, a tool that autom...
We study the definability of constraint satisfaction problems (CSP) in various fixed-point and infinitary logics. We show that testing the solvability of systems of equations over...