Using the Goal-oriented pattern family framework for modelling outcome-based regulations

Outcome-based regulations focus on measurable goals rather than on prescriptive ways of achieving these goals. As regulators start evolving regulations towards an outcome-based approach, it becomes important to reuse knowledge about existing problems and solutions, and patterns are known to be a means of increasing reusability. Regulatory parties can benefit from a pattern-based framework that (i) lays down a foundation for capturing knowledge about business goals and processes, (ii) provides methods for reusing this knowledge by extracting and customizing models for specific stakeholders, and (iii) enables evolution of the knowledge when new problems and solutions emerge. In this paper, we provide systematic steps for eliciting requirements leading to the creation of patterns and families and show the applicability of the Goal-oriented Pattern Family framework in this novel context. We improve the framework's infrastructure and include the concept of indicator in the framework in order to facilitate the reuse of compliance measurement approaches, in context.