2022
DOI: 10.1088/1742-6596/2173/1/012010
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Agile Modeling and Simulation Technology of Heterogeneous Systems Based on Meta-model Modeling Method

Abstract: Modeling and simulation of heterogeneous systems are faced with the problems of long modeling and simulation cycle, complex and changeable modeling fields and complex domain knowledge. In order to support the requirements analysis and initial design of the system, build the system model as the only authoritative truth source throughout the whole life cycle, and quantitatively characterize the requirements, functions, structure and performance of the system, this paper proposes an agile modeling and simulation … Show more

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Cited by 1 publication
(2 citation statements)
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“…Raising the abstraction level introduces an order of magnitude amplification in top-down model transformation but lowers the overall reusability potential in concrete problem domains. To support the requirement analysis and initial design of the system through the entire life cycle in [11], the authors propose meta-model-based agile modeling and simulation technology concerning the Object Management Group's (OMG) Meta-Object Facility (MOF) concept together with an agile heterogeneous systems modeling and simulation framework.…”
Section: Sos Engineering-a Problem Domain Simulation Modeling and Sma...mentioning
confidence: 99%
See 1 more Smart Citation
“…Raising the abstraction level introduces an order of magnitude amplification in top-down model transformation but lowers the overall reusability potential in concrete problem domains. To support the requirement analysis and initial design of the system through the entire life cycle in [11], the authors propose meta-model-based agile modeling and simulation technology concerning the Object Management Group's (OMG) Meta-Object Facility (MOF) concept together with an agile heterogeneous systems modeling and simulation framework.…”
Section: Sos Engineering-a Problem Domain Simulation Modeling and Sma...mentioning
confidence: 99%
“…Formulation of a novel taxonomy of indicators that crosscorrelates sustainability with smartness is at the core of [18]. The author proposes four main indicator categories: socio-cultural (11), economic (6), environmental (6), and governance (5), with a total number of 28 associated indicators.…”
Section: Sos Engineering-a Problem Domain Simulation Modeling and Sma...mentioning
confidence: 99%