Traditionally, human intervention is required to monitor a business process. Operators notify when manual activities are executed, and manually restart the monitoring whenever the process is not executed as expected. This paper presents mArtifact, an artifact-driven process monitoring platform. mArtifact uses the E-GSM artifact-centric language to represent the process. This way, when a violation occurs, it can flag the affected activities without halting the monitoring. By predicating on the conditions of the physical artifacts participating in a process, mArtifact autonomously detects when activities are executed and constraints are violated. The audience is expected to be familiar with business process monitoring and artifact-centric modeling languages.

mArtifact: an Artifact-driven Process Monitoring Platform / Baresi, Luciano; DI CICCIO, Claudio; Mendling, Jan; Meroni, Giovanni; Plebani, Pierluigi. - (2017). (Intervento presentato al convegno Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017) tenutosi a Barcelona, Spain).

mArtifact: an Artifact-driven Process Monitoring Platform

Claudio Di Ciccio;
2017

Abstract

Traditionally, human intervention is required to monitor a business process. Operators notify when manual activities are executed, and manually restart the monitoring whenever the process is not executed as expected. This paper presents mArtifact, an artifact-driven process monitoring platform. mArtifact uses the E-GSM artifact-centric language to represent the process. This way, when a violation occurs, it can flag the affected activities without halting the monitoring. By predicating on the conditions of the physical artifacts participating in a process, mArtifact autonomously detects when activities are executed and constraints are violated. The audience is expected to be familiar with business process monitoring and artifact-centric modeling languages.
2017
Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017)
Process monitoring; Artifact-centric processes; GSM
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
mArtifact: an Artifact-driven Process Monitoring Platform / Baresi, Luciano; DI CICCIO, Claudio; Mendling, Jan; Meroni, Giovanni; Plebani, Pierluigi. - (2017). (Intervento presentato al convegno Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017) tenutosi a Barcelona, Spain).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1372947
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