iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
— We propose a new probabilistic temporal logic iLTL which captures properties of systems whose state can be represented by probability mass functions (pmf’s). Using iLTL, we c...
Pushdown Systems (PDSs) has become an important paradigm for program analysis. Indeed, recent work has shown a deep connection between inter-procedural dataflow analysis for seque...
Assuring correctness of digital designs is one of the major tasks in the system design flow. Formal methods have been proposed to accompany commonly used simulation approaches. I...
The application of model-checking tools to complex systems involves a nontrivial step of modelling the system by a finite-state model and a translation of the desired properties i...