How well did it recover? Impact-aware conformance checking

Research output: Contribution to journalArticlepeer-review

Abstract

Alignment-based conformance checking techniques detect and quantify discrepancies between process execution and the expected behavior as depicted in process models. However, often when deviations from the expected behavior occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures.This paper presents a conformance checking approach which considers the response to and recovery from unexpected deviations during process execution, by analyzing the data updates involved and their impact on the expected behavior. We evaluated our approach by applying it to a real-life case study, utilizing different baseline alignment techniques. The results show that our approach succeed to capture adapted behavior in response to deviations and may provide insights concerning the implications of deviations in the process.

Original languageEnglish
Pages (from-to)3-27
Number of pages25
JournalComputing (Vienna/New York)
Volume103
Issue number1
DOIs
StatePublished - Jan 2021

Bibliographical note

Funding Information:
This research is supported by the Israel Science Foundation under Grant Agreements 856/13 and 669/17. The authors would like to thank Nesi Outmazgin, the IT manager of the academic institute, for his help throughout the case study evaluation and especially in the interpretation of the results.

Funding Information:
This research is supported by the Israel Science Foundation under Grant Agreements 856/13 and 669/17. The authors would like to thank Nesi Outmazgin, the IT manager of the academic institute, for his help throughout the case study evaluation and especially in the interpretation of the results.

Publisher Copyright:
© 2020, Springer-Verlag GmbH Austria, part of Springer Nature.

Keywords

  • Alignment
  • Business processes
  • Conformance checking
  • Data impact analysis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Numerical Analysis
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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