Rule-based Autocompletion of Business Process Models

Several methods based upon textual programming languages or graphical notations have been proposed for manual modeling of business process models. But since manual process modeling is time-consuming and increases the amount of structural modeling errors, we aim at supporting the user during the process modeling phase. In this paper we present an initial idea for an automatic approach for completion of business process models that recommends appropriate completions to initial process fragments based on business rules and structural constraints.