A higher-order transformation approach to the formalization and analysis of BPMN using graph transformation systems

The Business Process Modeling Notation (BPMN) is a widely used standard notation for defining intra- and inter-organizational workflows. However, the informal description of the BPMN execution semantics leads to different interpretations of BPMN elements and difficulties in checking behavioral properties. In this article, we propose a formalization of the execution semantics of BPMN that, compared to existing approaches, covers more BPMN elements while also facilitating property checking. Our approach is based on a higher-order transformation from BPMN models to graph transformation systems. To show the capabilities of our approach, we implemented it as an open-source web-based tool.

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Publication Details

Journal
Logical Methods in Computer Science
Published
2024-10-07
DOI
https://doi.org/10.46298/lmcs-20(4:4)2024
Citations
4
Primary Topic
Model-Driven Software Engineering Techniques
Type
article
Field-Weighted Citation Impact
1.94
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article

A higher-order transformation approach to the formalization and analysis of BPMN using graph transformation systems

Yngve Lamo, Tim Kräuter, Adrian Rutle, Harald König
4 citations
Logical Methods in Computer Science
Model-Driven Software Engineering Techniques
1.94
article

A higher-order transformation approach to the formalization and analysis of BPMN using graph transformation systems

Yngve Lamo, Tim Kräuter, Adrian Rutle, Harald König
article en
4 citations

Abstract

The Business Process Modeling Notation (BPMN) is a widely used standard notation for defining intra- and inter-organizational workflows. However, the informal description of the BPMN execution semantics leads to different interpretations of BPMN elements and difficulties in checking behavioral properties. In this article, we propose a formalization of the execution semantics of BPMN that, compared to existing approaches, covers more BPMN elements while also facilitating property checking. Our approach is based on a higher-order transformation from BPMN models to graph transformation systems. To show the capabilities of our approach, we implemented it as an open-source web-based tool.

Logical Methods in Computer ScienceVol. Volume 20, Issue 4
Openalex Percentile: Top 11%
Model-Driven Software Engineering Techniques
1.94
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