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Synthesizing of Process-Aware Digital Twin Cockpits from Event Logs

dc.contributor.authorBano, Dorina
dc.contributor.authorMichael, Judith
dc.contributor.authorRumpe, Bernhard
dc.contributor.authorVarga, Simon
dc.contributor.authorWeske, Mathias
dc.contributor.editorEngels, Gregor
dc.contributor.editorHebig, Regina
dc.contributor.editorTichy, Matthias
dc.date.accessioned2023-01-18T13:38:56Z
dc.date.available2023-01-18T13:38:56Z
dc.date.issued2023
dc.description.abstractIn this work, we summarize our article “Process-Aware Digital Twin Cockpit Synthesis from Event Logs” published in the Journal of Computer Languages (COLA). The engineering of digital twins and their user interfaces with explicated processes, namely process-aware digital twin cockpits (PADTCs), is challenging due to the complexity of the systems and the need for information from different disciplines within the engineering process. Therefore, we have investigated how to facilitate their engineering by using already existing data, namely event logs. We present a low-code development approach that reduces the amount of hand-written code needed to derive PADTCs using process mining techniques. We describe what models could be derived from event log data, which generative steps are needed for the engineering of PADTCs, and how process mining could be incorporated into the resulting application. A PADTC prototype is created based on the MIMIC III dataset, which simulates an automated hospital transportation system. Initially, our approach requires no hand-written code and empowers the domain expert to iteratively create PADTC prototypes.en
dc.identifier.isbn978-3-88579-726-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40126
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-332
dc.subjectProcess-Aware Digital Twin Cockpit
dc.subjectLow-Code Development Approaches
dc.subjectSensor Data
dc.subjectEvent Log
dc.subjectProcess Mining
dc.subjectProcess-Awareness
dc.titleSynthesizing of Process-Aware Digital Twin Cockpits from Event Logsen
dc.typeText/Conference Paper
gi.citation.endPage34
gi.citation.publisherPlaceBonn
gi.citation.startPage33
gi.conference.date20.–24. Februar 2023
gi.conference.locationPaderborn
gi.conference.sessiontitleWissenschaftliches Hauptprogramm

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