Modular Consistency Checking Between Heterogeneous Models Without Direct Data Exchange Between Collaborators

When using model-based systems engineering to develop a system with different models, inconsistencies can occur between these models based on their information overlaps. Multiple approaches exist how to handle such multi-model inconsistencies, but all of them rely in some form on having complete access to all models or exchanging model data directly between all models. This is critical regarding confidentiality, especially when different parties, e.g., different companies, are involved in the model-based development and do not want to share all their model data with each other.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3652620.3688554
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Modular Consistency Checking Between Heterogeneous Models Without Direct Data Exchange Between Collaborators

Sebastian Bergemann, Nina Benkendorf
Business Process Modeling and Analysis
article

Modular Consistency Checking Between Heterogeneous Models Without Direct Data Exchange Between Collaborators

Sebastian Bergemann, Nina Benkendorf
article en

Abstract

When using model-based systems engineering to develop a system with different models, inconsistencies can occur between these models based on their information overlaps. Multiple approaches exist how to handle such multi-model inconsistencies, but all of them rely in some form on having complete access to all models or exchanging model data directly between all models. This is critical regarding confidentiality, especially when different parties, e.g., different companies, are involved in the model-based development and do not want to share all their model data with each other.

Fortiss (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 71%
Business Process Modeling and Analysis
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