mArtifact: an Artifact-driven Process Monitoring Platform

Luciano Baresi, Claudio Di Ciccio, Jan Mendling, Giovanni Meroni, Pierluigi Plebani

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

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.
OriginalspracheEnglisch
Titel des SammelwerksProceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), September 13, 2017.
Herausgeber*innen Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske
ErscheinungsortBarcelona, Spain
VerlagCEUR Workshop Proceedings
Seiten1 - 5
PublikationsstatusVeröffentlicht - 2017

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

  • 102022 Softwareentwicklung
  • 102 not use (Altbestand)
  • 102001 Artificial Intelligence
  • 502 not use (Altbestand)
  • 502050 Wirtschaftsinformatik

Dieses zitieren