We propose a new system-level abstraction, the lightweight immutable execution snapshot, which combines the immutable characteristics of checkpoints with the direct integration into the virtual memory subsystem of standard mutable address spaces. The abstr ...
In this paper, we propose an abstract interpretation-based framework for reducing the state space of stochastic semantics for protein protein interaction networks. Our approach consists in quotienting the state space of networks. Yet interestingly, we do n ...
We present Counterexample-Guided Accelerated Abstraction Refinement (CEGAAR), a new algorithm for verifying infinite-state transition systems. CEGAAR combines interpolation-based predicate discovery in counterexample guided predicate abstraction with accel ...
This dissertation describes a complete methodological framework for designing, modeling and optimizing a specific class of distributed systems whose dynamics result from the multiple, stochastic interactions of their constitutive components. These componen ...