RWTH Aachen University
Execution of process models requires a process engine to handle control flow and data dependencies. While control flow is well supported in available activity-oriented process engines, data dependencies have to be specified manually in an error-prone and time-consuming work. In this paper, the authors present an extension to the process engine Activiti allowing to automatically extract complex data dependencies from process models and to enact the respecting models. They also briefly explain required extensions to BPMN (Business Process Model and Notation) to allow a model-driven approach for data dependency specification easing the process of data modeling.