FURY: Fuzzy unification and resolution based on edit distance

We present a theoretically founded framework for fuzzy unification and resolution based on edit distance over trees. Our framework extends classical unification and resolution conservatively. We prove important properties of the framework and develop the FURY system, which implements the framework efficiently using dynamic programming. We evaluate the framework and system on a large problem in the bioinformatics domain, that of detecting typographical errors in an enzyme name databas

An expectation transformer approach to predicate abstraction and data independence for probabilistic programs

In this paper we revisit the well-known technique of predicate abstraction to characterise performance attributes of system models incorporating probability. We recast the theory using expectation transformers, and identify transformer properties which correspond to abstractions that yield nevertheless exact bound on the performance of infinite state probabilistic systems. In addition, we extend the developed technique to the special case of "data independent" programs incorporating probability. Finally, we demonstrate the subtleness of the extended technique by using the PRISM model checking tool to analyse an infinite state protocol, obtaining exact bounds on its performance