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Today’s organizations have to monitor increasingly complex business processes that handle large amounts of data. In this context, it is essential to design working frameworks that seamlessly integrate both control flow and data perspectives. Such an integration can be eased by automatically generating the infrastructures for storing data and control aspects. Towards this goal, we propose an automatic process for synthesizing persistence structures for control flow and data storage. In particular, based on an approach centered on the concept of Occurrence, in this paper we present a proposal by means of which, after applying several translation patterns to a business process model, we automatically generate the persistence structures that integrate both data and control aspects of such model. The feasibility of this proposal is demonstrated by developing a prototype and evaluating its application to different examples taken from the literature as a benchmark.

Generating Persistence Structures for the Integration of Data and Control Aspects in Business Process Monitoring