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Conformance Checking Using Cost-Based Fitness Analysis

Arya Adriansyah · Boudewijn F. van Dongen · Wil M. P. van der Aalst

393 citations0/0 files storedIEEE International Enterprise Distributed Object Computing Conference (EDOC)

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Business Process Modeling and Analysis Software Testing and Debugging Techniques Robotic Process Automation Applications

Abstract

The growing complexity of processes in many organizations stimulates the adoption of business process analysis techniques. Typically, such techniques are based on process models and assume that the operational processes in reality conform to these models. However, experience shows that reality often deviates from hand-made models. Therefore, the problem of checking to what extent the operational process conforms to the process model is important for process management, process improvement, and compliance. In this paper, we present a robust replay analysis technique that is able to measure the conformance of an event log for a given process model. The approach quantifies conformance and provides intuitive diagnostics (skipped and inserted activities). Our technique has been implemented in the ProM 6 framework. Comparative evaluations show that the approach overcomes many of the limitations of existing conformance checking techniques.

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2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2007Conformance checking of processes based on monitoring real behavior 2007Genetic process mining: an experimental evaluation

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2012On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery 2018Split miner: automated discovery of accurate and simple business process models from event logs 2016Scalable process discovery and conformance checking 2014Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity 2013Decomposing Petri nets for process mining: A generic approach 2013Data-aware process mining 2023PM4Py: A process mining library for Python 2016Conformance checking based on multi-perspective declarative process models

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