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Nowadays, more and more industrial organizations are using Business Process Model and Notation (BPMN) for process modeling. Data collected during business process execution are used for deriving the key performance indicators (KPI) that allow continuous tracking of the process behavior and measurement of process-specific goals. KPIs evaluation leverages on business process monitoring solutions that can be embedded into the BPM execution framework or integrated as additional facilities. This paper presents an integrated framework that allows modeling, execution and analysis of business process based on a flexible and adaptable monitoring infrastructure. The main advantage of the proposed approach is that it is independent from any specific business process modeling notation and execution engine and allows for the definition and evaluation of user-specific KPI measures. An example of implementation of the proposed execution and monitoring framework as well as its validation on a real case study in the learning domain are also presented.
Calabrò et al. (Thu,) studied this question.