Step 1: Prepare Data

LogFSM can analyze log data from different sources. Different input formats are supported:

Data of any format can be transformed into the structure of a flat data table in R before using this data with LogFSM.

Step 2: Define Finite-State Machine

LogFSM requires to specify a finite-state machine in a simple syntax.

Step 3: Reconstruct Sequence of States

The finite-state machine(s), defined in step 2, the log data are analyzed, and the sequence of states is reconstructed.

Step 4: Read Output Tables and Create Process Indicators in R

From the reconstructed sequence of states, LogFSM creates various output tables and graphs that can be used to extract indicators.


Copyright © 2019 - 2020 Ulf Kroehne.