Abstract
Artifact-driven process monitoring is a technique that exploits the E-GSM modeling language to seamlessly monitor multi-party business processes. Despite allowing greater flexibility in monitoring, E-GSM makes the modeling and understanding of monitoring results harder than imperative process modeling languages. To overcome this limitation, methods to automatically transform imperative process models into (E-)GSM models have been introduced. However, to the best of our knowledge, no approach to show monitoring results obtained with artifact-driven monitoring over the original imperative process model has been proposed. In this paper, we propose a method to map the results, and in particular execution flow violations, back to BPMN diagrams.
Original language | English |
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Title of host publication | Proceedings of the 5th International Conference on Process Mining (ICPM 2023) |
Volume | 503 |
Publisher | Springer |
Publication date | 2024 |
Pages | 475-486 |
ISBN (Print) | 978-3-031-56106-1 |
ISBN (Electronic) | 978-3-031-56107-8 |
DOIs | |
Publication status | Published - 2024 |
Event | 5th International Conference on Process Mining - Rome, Italy Duration: 23 Oct 2023 → 27 Oct 2023 Conference number: 5 |
Conference
Conference | 5th International Conference on Process Mining |
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Number | 5 |
Country/Territory | Italy |
City | Rome |
Period | 23/10/2023 → 27/10/2023 |
Keywords
- BPMN
- E-GSM
- Process monitoring