Authors: Andreas Meyer, Mathias Weske
Tags: 2012, conceptual modeling
Process model abstraction is an effective approach to reduce the complexity and increase the understandability of process models. Several techniques provide process model abstraction capabilities, but none of them includes data in the abstraction procedure. To overcome this gap, we propose data abstraction capabilities for process model abstraction. The approach is based on use cases found in literature as well as encountered in practice. Altogether, we introduce a framework for data abstraction in process models and provide algorithmic guidance to apply it in practice. The approach is evaluated by an implementation and a scenario of a workshop organization, that contains process models on different levels of abstraction.Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-642-34002-4_23
