Data Flow Abstractions and Adaptations through Updatable Process Views

The increasing adoption of process-aware information systems (PAISs) has resulted in large process model collections. To support users having different perspectives on these processes and related data, a PAIS should enable personalized views on process models. Existing PAISs, however, do not provide mechanisms for creating such process views or even changing them. Especially, changing process models is a frequent use case in PAISs due to evolving needs or unplanned situations. While process views have been used as abstractions for visualizing process models, no work exists on how to change process models based on related views. This paper extends our approach for abstracting and changing process models based on updatable process views with a focus on the data perspective. In the context, of a view change we ensure up-to-dateness and consistency of all process views related to the same process model. To define process abstractions well-defined view creation operations can be applied. Further, updates on process views (including the data perspective) are correctly propagated to the underlying process model. Then, all other views related to this process model are migrated to the new version of the process model. Overall, our view framework enables domain experts to not only evolve the behavior of large processes based on appropriate
model abstractions, but also the data perspective.