A Task Taxonomy for Conformance Checking
Jana-Rebecca Rehse, Michael Grohs, Finn Klessascheck, Lisa-Marie Klein, Tatiana von Landesberger, Luise Pufahl

TL;DR
This paper introduces a task taxonomy for conformance checking in process mining, aiming to clarify visualization purposes and support better evaluation and development of conformance checking tools.
Contribution
It presents a systematic task taxonomy that categorizes conformance checking analysis tasks, facilitating clearer understanding and evaluation of visualization tools.
Findings
Provides a structured taxonomy for conformance checking tasks
Helps in evaluating and designing visualization tools
Fosters collaboration between process mining and visual analytics researchers
Abstract
Conformance checking is a sub-discipline of process mining, which compares observed process traces with a process model to analyze whether the process execution conforms with or deviates from the process design. Organizations can leverage this analysis, for example to check whether their processes comply with internal or external regulations or to identify potential improvements. Gaining these insights requires suitable visualizations, which make complex results accessible and actionable. So far, however, the development of conformance checking visualizations has largely been left to tool vendors. As a result, current tools offer a wide variety of visual representations for conformance checking, but the analytical purposes they serve often remain unclear. However, without a systematic understanding of these purposes, it is difficult to evaluate the visualizations' usefulness. Such an…
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Taxonomy
TopicsSecurity and Verification in Computing · Software Reliability and Analysis Research · Software Testing and Debugging Techniques
