When working with a complex process, it is dicult to get a clear idea on how exactly changes to the input can impact the output. Visualising how the steps of such process evolves with input can help understanding and/or boost confidence in the produced result. We took a suitable existing industrial process, and created a visualisation for it using an adapted log-based behavioural di↵erencing algorithm that highlights the parts of the process that really changed. We show that our visualisation scales well, propose that our solution could be applied to other use cases, and provide a replication package to allow others to try for themselves
Citations
APA
Chicago
FWB
Céline Deknop. (2021). Log-based behavioural di↵erencing applied to an industrial case. Elisabetta Di Nitto and Standa Zivný. https://hdl.handle.net/2078.5/107767