Transforming regulations into performance models in the context of reasoning for outcome-based compliance

Recently, interest in performance modeling of out-come-based regulations has grown in the regulatory community. In this context, performance modeling refers to the measuring of important business aspects in a coordinated manner and the use of these measurements for improved decision making. Goal modeling techniques have shown to be beneficial when expressing and analyzing performance models. Since most regulations are still written in natural language, support for the transformation of regulatory text into performance models is needed. This allows regulators and regulated parties to keep working with familiar natural language regulations and to use goal models indirectly while avoiding a potentially significant learning curve for goal-modeling techniques. In this paper, we present such a tool-supported transformation to goal models expressed with the User Requirements Notation that enables reasoning about outcome-based regulations via widely available evaluation mechanism for goal models. The transformation is implemented in the jUCM-Nav goal modeling tool and illustrated with an example from the banking domain.