Data-aware Conformance Checking
Name
Maksym Melnyk
Abstract
Conformance checking is one of the most common tasks in the field process mining. The goal of conformance checking is to compare a process model against an event log in order to quantify or describe how the behavior recorded in the log deviates with respect to the behavior captured by the process model. Most of the existing conformance checking techniques focus on the control-flow perspective. In this thesis, we propose a conformance checking technique that takes into account the data perspectives in addition to the control-flow perspective. The proposed approach is implemented as a tool that takes as input a BPMN process model and an event log. The tool has been implemented using the Elixir programming language. The thesis also reports on a performance evaluation of the proposed approach.
Graduation Thesis language
English
Graduation Thesis type
Master - Software Engineering
Supervisor(s)
Marlon Dumas, Thomas Baier
Defence year
2019