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Conformance Metrics |
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Conformance Checking with mpmX specifies a process model (one or more happy paths) for which the deviation of the event log is calculated. To each process path in the log the most similar happy path is assigned. Therefore, the sequence of activities of each real process variant is compared with the sequence of the happy path. Activities and edges can have the following properties:
•They are correct, which means the observed behavior corresponds to the behavior in the process model.
•They are deviating, which means the observed behavior cannot be found in the process model.
•They were skipped, which means they are listed in the process model, but do not occur in the reality.
The mpmX Conformance Checking algorithm evaluates the characteristics of each edge and node and calculates the Process Conformance metric. This metric shows the deviation between model and reality in a range of 0-100%. This allows the analyst to quickly identify particularly good or bad process variants on the sheet Conformance and also to directly see which deviation has occurred.
