Bounded model checking--as well as symbolic equivalence checking--are highly successful techniques in the hardware domain. Recently, bit-vector bounded model checkers like CBMC ha...
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. denite clause programs containing probabilistic facts with a ...
Security of civil aviation has become a major concern in recent years, leading to a variety of protective measures related to airport and aircraft security to be established by re...
We propose a novel method for modular verification of web service compositions. We first use symbolic fixpoint computations to derive conditions on the incoming messages and relat...
Abstract. We study the problem of applying statistical methods for approximate model checking of probabilistic systems against properties encoded as PCTL formulas. Such approximate...