Abstract. In this paper, we show how model-checking can be generalized to temporal logic constraint solving, by considering temporal logic formulae with free variables over some do...
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
We aim to specify program transformations in a declarative style, and then to generate executable program transformers from such specifications. Many transformations require non-t...
Ganesh Sittampalam, Oege de Moor, Ken Friis Larsen
This paper describes a Java-based framework for the development of componentbased software systems supporting the specification of the logic of component interactions as a first-c...
Antonio Natali, Enrico Oliva, Alessandro Ricci, Mi...
The trend towards multicore processors and graphic processing units is increasing the need for software that can take advantage of parallelism. Writing correct parallel programs u...