Efficient Optimal Alignment Between Dynamic Condition Response Graphs and Traces

Axel Kjeld Fjelrad Christfort; Tijs Slaats

doi:10.1007/978-3-031-41620-0_1

Efficient Optimal Alignment Between Dynamic Condition Response Graphs and Traces

Axel Kjeld Fjelrad Christfort^*, Tijs Slaats

^*Corresponding author for this work

Software, Data, People & Society

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

1 Citation (Scopus)

Abstract

Dynamic Condition Response (DCR) Graphs is a popular declarative process modelling notation which is supported by commercial modelling tools and has seen significant industrial adoption. The problem of aligning traces with DCR Graphs, with it’s multitude of applications such as conformance checking and log repair, has surprisingly not been solved yet. In this paper we address this open gap in the research by developing an algorithm for efficiently computing the optimal alignment of a DCR Graph and a trace. We evaluate the algorithm on the PDC 2022 dataset, showing that even for large models and traces alignment problems can be solved within milliseconds, and present a case study based on test-driven modelling.

Original language	English
Title of host publication	Business Process Management - 21st International Conference, BPM 2023, Proceedings
Editors	Chiara Di Francescomarino, Andrea Burattin, Christian Janiesch, Shazia Sadiq
Number of pages	17
Publisher	Springer
Publication date	2023
Pages	3-19
ISBN (Print)	9783031416194
DOIs	https://doi.org/10.1007/978-3-031-41620-0_1
Publication status	Published - 2023
Event	Proceedings of the 21st International Conference on Business Process Management , BPM 2023 - Utrecht, Netherlands Duration: 11 Sep 2023 → 15 Sep 2023

Conference

Conference	Proceedings of the 21st International Conference on Business Process Management , BPM 2023
Country/Territory	Netherlands
City	Utrecht
Period	11/09/2023 → 15/09/2023

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14159 LNCS
ISSN	0302-9743

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Conformance checking
DCR graphs
Declarative process models
Test-driven Modelling
Trace alignment

Access to Document

10.1007/978-3-031-41620-0_1

Cite this

Christfort, A. K. F., & Slaats, T. (2023). Efficient Optimal Alignment Between Dynamic Condition Response Graphs and Traces. In C. Di Francescomarino, A. Burattin, C. Janiesch, & S. Sadiq (Eds.), Business Process Management - 21st International Conference, BPM 2023, Proceedings (pp. 3-19). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14159 LNCS https://doi.org/10.1007/978-3-031-41620-0_1

Efficient Optimal Alignment Between Dynamic Condition Response Graphs and Traces. / Christfort, Axel Kjeld Fjelrad ; Slaats, Tijs.

Business Process Management - 21st International Conference, BPM 2023, Proceedings. ed. / Chiara Di Francescomarino; Andrea Burattin; Christian Janiesch; Shazia Sadiq. Springer, 2023. p. 3-19 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14159 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Christfort, AKF & Slaats, T 2023, Efficient Optimal Alignment Between Dynamic Condition Response Graphs and Traces. in C Di Francescomarino, A Burattin, C Janiesch & S Sadiq (eds), Business Process Management - 21st International Conference, BPM 2023, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14159 LNCS, pp. 3-19, Proceedings of the 21st International Conference on Business Process Management , BPM 2023, Utrecht, Netherlands, 11/09/2023. https://doi.org/10.1007/978-3-031-41620-0_1

Christfort AKF , Slaats T. Efficient Optimal Alignment Between Dynamic Condition Response Graphs and Traces. In Di Francescomarino C, Burattin A, Janiesch C, Sadiq S, editors, Business Process Management - 21st International Conference, BPM 2023, Proceedings. Springer. 2023. p. 3-19. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14159 LNCS). https://doi.org/10.1007/978-3-031-41620-0_1

Christfort, Axel Kjeld Fjelrad ; Slaats, Tijs. / Efficient Optimal Alignment Between Dynamic Condition Response Graphs and Traces. Business Process Management - 21st International Conference, BPM 2023, Proceedings. editor / Chiara Di Francescomarino ; Andrea Burattin ; Christian Janiesch ; Shazia Sadiq. Springer, 2023. pp. 3-19 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14159 LNCS).

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