Common use of Relevance Filtering Clause in Contracts

Relevance Filtering. Rodin's external provers (PP, newPP, and sometimes also ML) tend to perform poorly in the presence of irrelevant hypotheses. For PP and newPP the user can still manually select the hypotheses he considers relevant, but that is a tedious and error-prone process, in particular for large models. Several heuristics for selecting relevant hypotheses have been proposed in the literature[2] [3] [4] [5] . The relevance filter plug-in implements these and other heuristics, and provides a default configuration that has been shown to be almost optimal on a given collection of models from different domains[6] . The relevance filter plug-in has also significantly increased the number of automatically discharged proof obligations on models of deployment partners, which had not been used for fine tuning the heuristics.