We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
The deployment of software components frequently fails because dependencies on other components are not declared explicitly or are declared imprecisely. This results in an incompl...
We describe the design and implementation of a trust-management system Soutei, a dialect of Binder, for access control in distributed systems. Soutei policies and credentials are w...
In the beginning of nineties, Hava Siegelmann proposed a new computational model, the Artificial Recurrent Neural Network (ARNN), and proved that it could perform hypercomputation....
Abstract. Quantitative verification techniques are able to establish system properties such as "the probability of an airbag failing to deploy on demand" or "the exp...