Objectively Defined Intended Uses, a Prerequisite to Efficient MBSE

This article proposes a method for improved model verification within Large-Scale Simulators (LSS). The approach relies on machine-interoperable traceability of model verification information, such as model Operational Domains (ODs). This enables automated evaluation of model relevance and facilitates the combination of models for a broader evaluation of credible simulation results. The paper introduces a proof-of-concept testbed for verification of black-box models against model requirements. Furthermore, the results also include a proposal for a machine-readable format to capture model requirement Verification & Validation (V&V) results, along with the resulting model and updated model OD information.

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Publication Details

Journal
Linköping electronic conference proceedings
Published
2025-01-16
DOI
https://doi.org/10.3384/ecp20729
Citations
2
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
10.57

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article

Objectively Defined Intended Uses, a Prerequisite to Efficient MBSE

Petter Krus, Robert Braun, Robert Hällqvist, Erik Rosenlund
2 citations
Linköping electronic conference proceedings
Scientific Computing and Data Management
10.57
article

Objectively Defined Intended Uses, a Prerequisite to Efficient MBSE

Petter Krus, Robert Braun, Robert Hällqvist, Erik Rosenlund
article en
2 citations

Abstract

This article proposes a method for improved model verification within Large-Scale Simulators (LSS). The approach relies on machine-interoperable traceability of model verification information, such as model Operational Domains (ODs). This enables automated evaluation of model relevance and facilitates the combination of models for a broader evaluation of credible simulation results. The paper introduces a proof-of-concept testbed for verification of black-box models against model requirements. Furthermore, the results also include a proposal for a machine-readable format to capture model requirement Verification & Validation (V&V) results, along with the resulting model and updated model OD information.

Linköping electronic conference proceedingsVol. 207
Linköping University (SE)
ITEA, Saab
Openalex Percentile: Top 3%
Scientific Computing and Data Management
10.57
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