Detecting the “Split-Cases” Workaround in Event Logs

Yael Dubinsky, Pnina Soffer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Workarounds are frequently observed in business processes, where employees intentionally bypass or deviate from procedures and business rules embedded in process models. One of the common workaround behaviors is the “split cases” workaround. This workaround typically takes place in processes where threshold conditions over data items are used by decision rules, determining the process path to be followed. Being familiar with the process rules, employees may decide to split a case whose relevant data value exceeds the threshold into two or more cases whose data value is below the threshold. Doing this they avoid the path which should be followed otherwise – this path may seem undesirable to the employee (e.g., including lengthy approvals), but might be needed for avoiding risks. Detecting such workarounds is hence of importance. Although the split case workaround is quite common, existing process mining and conformance checking techniques are not geared to detect it in an event log, since each of the cases is conformant by itself, and it is the relation among cases which might indicate this behavior. In this paper we propose an approach for detecting the split cases workaround in event log and report experimentation that has been performed using simulated as well as real life logs.

Original languageEnglish
Title of host publicationEnterprise, Business-Process and Information Systems Modeling - 22nd International Conference, BPMDS 2021, and 26th International Conference, EMMSAD 2021, Held at CAiSE 2021, Proceedings
EditorsAdriano Augusto, Asif Gill, Selmin Nurcan, Iris Reinhartz-Berger, Rainer Schmidt, Jelena Zdravkovic
PublisherSpringer Science and Business Media Deutschland GmbH
Pages47-61
Number of pages15
ISBN (Print)9783030791858
DOIs
StatePublished - 2021
Event22nd International Conference on Business Process Modeling, Development and Support, BPMDS 2021 and 26th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2021 Held at CAiSE 2021 - Virtual, Online
Duration: 28 Jun 202129 Jun 2021

Publication series

NameLecture Notes in Business Information Processing
Volume421
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference22nd International Conference on Business Process Modeling, Development and Support, BPMDS 2021 and 26th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2021 Held at CAiSE 2021
CityVirtual, Online
Period28/06/2129/06/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

  • Inter-case behavior
  • Process mining
  • Workaround

ASJC Scopus subject areas

  • Information Systems and Management
  • Information Systems
  • Control and Systems Engineering
  • Business and International Management
  • Management Information Systems
  • Modeling and Simulation

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