Supporting risk-informed decisions during business process execution

R. Conforti, M. Leoni, de, M. La Rosa, W.M.P. Aalst, van der

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

49 Citations (Scopus)

Abstract

This paper proposes a technique that supports process participants in making risk-informed decisions, with the aim to reduce the process risks. Risk reduction involves decreasing the likelihood and severity of a process fault from occurring. Given a process exposed to risks, e.g. a financial process exposed to a risk of reputation loss, we enact this process and whenever a process participant needs to provide input to the process, e.g. by selecting the next task to execute or by filling out a form, we prompt the participant with the expected risk that a given fault will occur given the particular input. These risks are predicted by traversing decision trees generated from the logs of past process executions and considering process data, involved resources, task durations and contextual information like task frequencies. The approach has been implemented in the YAWL system and its effectiveness evaluated. The results show that the process instances executed in the tests complete with significantly fewer faults and with lower fault severities, when taking into account the recommendations provided by our technique.
Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering (25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013. Proceedings)
EditorsC. Salinesi, M.C. Norrie, O. Pastor
Place of PublicationBerlin
PublisherSpringer
Pages116-132
ISBN (Print)978-3-642-38708-1
DOIs
Publication statusPublished - 2013
Event25th International Conference on Advanced Information Systems Engineering (CAiSE 2013) - Valencia, Spain
Duration: 17 Jun 201321 Jun 2013
Conference number: 25

Publication series

NameLecture Notes in Computer Science
Volume7908
ISSN (Print)0302-9743

Conference

Conference25th International Conference on Advanced Information Systems Engineering (CAiSE 2013)
Abbreviated titleCAiSE '13
CountrySpain
CityValencia
Period17/06/1321/06/13

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