research-article

Conformance checking for BPMN-based process models

Authors:

Wasif GilaniAuthors Info & Claims

SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing

Pages 1406 - 1413

https://doi.org/10.1145/2554850.2555061

Published: 24 March 2014 Publication History

Abstract

Measuring how well business process models conform to the execution of the process in reality is an important topic with many applications. While current conformance checking approaches are tailored to formal models such as Petri nets they lack support for domain-specific standards such as BPMN. In this paper we present two approaches for directly measuring the conformance of business process models based on BPMN elements and event logs. We define methods for extracting properties from such models that enable an easy comparison to event logs on a local level (i.e. for individual parts of the process and individual events). Furthermore, we present a method for replaying whole event logs on such models, allowing for a global conformance measure (i.e. on trace level). By utilising the previously extracted properties, we eliminate the need for expensive state-space exploration.

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Cited By

Berti Avan der Aalst W(2021)A Novel Token-Based Replay Technique to Speed Up Conformance Checking and Process EnhancementTransactions on Petri Nets and Other Models of Concurrency XV10.1007/978-3-662-63079-2_1(1-26)Online publication date: 25-Feb-2021
https://doi.org/10.1007/978-3-662-63079-2_1
Polyvyanyy AAalst WHofstede AWynn M(2016)Impact-Driven Process Model RepairACM Transactions on Software Engineering and Methodology10.1145/298076425:4(1-60)Online publication date: 12-Oct-2016
https://dl.acm.org/doi/10.1145/2980764
Ceravolo PAzzini ADamiani ELazoi MMarra MCorallo A(2016)Translating Process Mining Results into Intelligible Business InformationProceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society10.1145/2925995.2925997(1-8)Online publication date: 25-Jul-2016
https://dl.acm.org/doi/10.1145/2925995.2925997
Show More Cited By

Index Terms

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Published In

cover image ACM Conferences

SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing

March 2014

1890 pages

ISBN:9781450324694

DOI:10.1145/2554850

Conference Chairs:
Yookun Cho
Seoul National University, Korea
,
Sung Y. Shin
South Dakota State University
,
Program Chairs:
Sangwook Kim
Kyungpook National University, Korea
,
Chih-Cheng Hung
Southern Polytechnic State University
,
Jiman Hong
Soongsil University, South Korea

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 March 2014

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Seventh Framework Programme

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SAC 2014

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SAC 2014: Symposium on Applied Computing

March 24 - 28, 2014

Gyeongju, Republic of Korea

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SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

Berti Avan der Aalst W(2021)A Novel Token-Based Replay Technique to Speed Up Conformance Checking and Process EnhancementTransactions on Petri Nets and Other Models of Concurrency XV10.1007/978-3-662-63079-2_1(1-26)Online publication date: 25-Feb-2021
https://doi.org/10.1007/978-3-662-63079-2_1
Polyvyanyy AAalst WHofstede AWynn M(2016)Impact-Driven Process Model RepairACM Transactions on Software Engineering and Methodology10.1145/298076425:4(1-60)Online publication date: 12-Oct-2016
https://dl.acm.org/doi/10.1145/2980764
Ceravolo PAzzini ADamiani ELazoi MMarra MCorallo A(2016)Translating Process Mining Results into Intelligible Business InformationProceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society10.1145/2925995.2925997(1-8)Online publication date: 25-Jul-2016
https://dl.acm.org/doi/10.1145/2925995.2925997
Horita HHirayama HHayase TTahara YOhsuga A(2016)Process Mining Approach Based on Partial Structures of Event Logs and Decision Tree Learning2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAI-AAI.2016.174(113-118)Online publication date: Jul-2016
https://doi.org/10.1109/IIAI-AAI.2016.174
Horita HHirayama HHayase TTahara YOhsuga A(2016)Business Process Verification and Restructuring LTL Formula Based on Machine Learning ApproachComputer and Information Science10.1007/978-3-319-40171-3_7(89-102)Online publication date: 17-Jun-2016
https://doi.org/10.1007/978-3-319-40171-3_7
Molka TRedlich DDrobek MZeng XGilani WEsparcia-Alcázar A(2015)Diversity Guided Evolutionary Mining of Hierarchical Process ModelsProceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation10.1145/2739480.2754765(1247-1254)Online publication date: 11-Jul-2015
https://dl.acm.org/doi/10.1145/2739480.2754765
Molka TRedlich DGilani WZeng XDrobek M(2015)Evolutionary Computation Based Discovery of Hierarchical Business Process ModelsBusiness Information Systems10.1007/978-3-319-19027-3_16(191-204)Online publication date: 16-Jun-2015
https://doi.org/10.1007/978-3-319-19027-3_16
Tribolet JSousa PCaetano A(2014)The Role of Enterprise Governance and Cartography in Enterprise EngineeringEnterprise Modelling and Information Systems Architectures10.1007/s40786-014-0004-59:1(38-49)Online publication date: 25-Dec-2014
https://doi.org/10.1007/s40786-014-0004-5

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