Extending the MM-AR Metamodeling Platform with Process Mining Capabilities
[Inżynieria oprogramowania] Autorzy: Geraldine Hürzeler, Hans-Georg Fill, Daniel Borcard
Process mining derives process models from event data recorded by information systems, but its results are usually presented as two-dimensional visualizations that are separate from the environments in which enterprise models are created and maintained. Metamodeling platforms for extended reality (XR), such as MM-AR, allow users to define modeling languages and to display models in 2D and 3D, but they do not provide access to event data or mining algorithms so far. In this paper we therefore present a first proof-of-concept for showing how an XR-based metamodeling platform can be extended with process discovery capabilities without changes to the platform core through a separate Python service based on the open source PM4Py process mining library. We demonstrate the approach using three common discovery algorithms for obtaining Petri nets and BPMN models based on CSV or XES event logs. …
- Kategoria arxiv
- cs.SE
- Kategoria
- Inżynieria oprogramowania