Business process monitoring aims at identifying how well running processes are performing with respect to performance measures and objectives. By observing the execution of a process, process monitoring is also responsible for creating process traces, which can be subsequently used by process mining algorithms to gain further insights on the process. Among the various monitoring solutions, artifact-driven monitoring has been proposed as a viable solution to continuously and autonomously monitor business processes. By monitoring the changes in the physical and virtual objects (i.e., artifacts) participating in the process, artifact-driven monitoring can autonomously generate traces that include events related to semi-automatic and manual tasks. Also, by relying on a declarative representation of the process to monitor, artifact-driven monitoring can detecting violations in the execution flow as soon as they occur. In addition, artifact-driven monitoring can identify the process elements affected by a violation, and it can continue monitoring the process without human intervention. This tutorial paper will firstly provide an introduction to process monitoring, and the recent advancements in this field. Then, an overview on how artifact-driven monitoring works will be provided.

Artifact-Driven Process Monitoring: A Viable Solution to Continuously and Autonomously Monitor Business Processes

Meroni G.
2021

Abstract

Business process monitoring aims at identifying how well running processes are performing with respect to performance measures and objectives. By observing the execution of a process, process monitoring is also responsible for creating process traces, which can be subsequently used by process mining algorithms to gain further insights on the process. Among the various monitoring solutions, artifact-driven monitoring has been proposed as a viable solution to continuously and autonomously monitor business processes. By monitoring the changes in the physical and virtual objects (i.e., artifacts) participating in the process, artifact-driven monitoring can autonomously generate traces that include events related to semi-automatic and manual tasks. Also, by relying on a declarative representation of the process to monitor, artifact-driven monitoring can detecting violations in the execution flow as soon as they occur. In addition, artifact-driven monitoring can identify the process elements affected by a violation, and it can continue monitoring the process without human intervention. This tutorial paper will firstly provide an introduction to process monitoring, and the recent advancements in this field. Then, an overview on how artifact-driven monitoring works will be provided.
978-3-030-85468-3
978-3-030-85469-0
Artifact-driven
Business process monitoring
Conformance checking
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1212477
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