Model Based System Testing: Bringing Testing and Simulation Close Together

Santos, Fábio Luis Marques dos; Pastorino, Roland; Peeters, Bart; Faria, Cassio; Desmet, Wim; Góes, Luiz Carlos Sandoval; Auweraer, Herman Van der

doi:10.1007/978-3-319-29956-3_10

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…A special role is played by the application of the principle of minimization [39,70,89,[127][128][129][130][131][132]. According to this principle for solving specific problems, information should be provided in the minimum necessary volume.…”

Section: Resultsmentioning

confidence: 99%

“…At the same time, following the principle of independence, there is a certain set of mandatory system components that is common to any level of nesting and hierarchy and is tied to real physical objects. The key link here is the 3D model [68,78,89,102,120,122,129], which serves as a bridge between the real and digital world. When working with complex technical systems, it is almost always necessary to use a 3D model as a link or a common base spatial reference to develop a single system model.…”

Section: Resultsmentioning

confidence: 99%

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Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Bolshakov,

Badenko,

Yadykin

et al. 2023

Applied Sciences

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This scientific article discusses the process of digital transformation of enterprises, analyzed as complex technical systems. Digital transformation is essential for businesses to remain competitive in the global marketplace. One of the effective tools for such a transformation is model-based systems engineering (MBSE). However, there is a gap in the practical application of knowledge regarding the uniform principles for the formation of a digital representation of complex technical systems, which limits the realization of the cross-industry potential of digital transformation in the economy. The motivation for this study is to identify common cross-industry principles for the formation of digital representations of complex technical systems that can lead companies to a sustainable and successful digital transformation. The purpose of this work is to identify and formulate these principles through an analysis of publications, using an inductive approach and classifying them by the category of application. As a result of the study, 23 principles were obtained, and the degree of their use in various industries associated with complex technical systems was determined. The results of this study will help to solve the problem of cross-industry integration and guide systemic changes in the organization of enterprises during their digital transformation.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Cross-Industry Principles for Digital Representations of Complex Technical Systems in the Context of the MBSE Approach: A Review

Bolshakov,

Badenko,

Yadykin

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The use of models to enhance or extend test-based engineering processes is one of the key application fields of model-based system testing [27]. Test data exploitation can be greatly enhanced by complementing sparse physical sensor measurements with model-based virtual sensor data [107,20].…”

Section: Use Case -Virtual Sensors 1251 Visionmentioning

confidence: 99%

12 Model order reduction and digital twins

2020

Applications

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“…Across different engineering disciplines, HS is also known as system-in-the-loop testing. It is one of the methods used for Model-based Development [2]. The system-under-consideration consists of multiple individual sub-components, out of which one or more are selected to be tested physically, and are called the physical substructures (PS), while the remaining components, called the numerical substructures (NS), are simulated numerically.…”

Section: Introductionmentioning

confidence: 99%