Rule-based Autocompletion of Business Process Models

Provided by: University of Karachi
Topic: Big Data
Format: PDF
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, the authors aim at supporting the user during the process modeling phase. In this paper, they 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.

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