Integration of Activity Modeller with Bayesian network based recommender for business processes?

Abstract Formalized process models help to handle, design and store processes in a form understandable for the designers and users. As model repositories of-ten contain similar or related models, they should be used when modelling new processes in a form of automated recommendations. It is important, as designers prefer to receive and use suggestions during the modelling process. Recommen-dations make modelling faster and less error-prone because a set of good models is automatically used to help the designer. In this paper, we describe and evaluate a method that uses Bayesian Networks and configurable models for recommen-dation purposes in process modelling. The practical integration of the recommen-dation module with a Activity Modeller tool is also presented.