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An Extension of the Systems Modeling Language for Physical Interaction and Signal Flow Simulation.

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Title: An Extension of the Systems Modeling Language for Physical Interaction and Signal Flow Simulation.
Authors: Bock, Conrad1 conrad.bock@nist.gov, Barbau, Raphael2, Matei, Ion3, Dadfarnia, Mehdi1
Source: Systems Engineering. Sep2017, Vol. 20 Issue 5, p395-431. 37p.
Subjects: SysML (Computer science), Programming languages, Computer simulation, Computer systems, Computer-aided engineering
Abstract: ABSTRACT Computer-interpretable representations of system structure and behavior are at the center of developing today's complex systems. Systems engineers create and review these representations using graphical modeling languages that capture requirements, designs, and tests (such as the Systems Modeling Language, SysML). However, these languages must be used in conjunction with analysis tools, in particular, with simulators for physical interaction and numeric signal flow based on ordinary and algebraic differential equation solvers. These kind of simulation tools are often used separately from system modeling tools, leading to inconsistencies that require additional work to eliminate, preventing multidisciplinary concerns from being reflected in the overall system design. As a result, there is an increasing need for integrating physical interaction and signal flow simulation tools and languages into system modeling under a single framework. In this article, we first present an abstraction of the constructs and semantics these simulation tools and languages have in common, based on earlier reviews. Then, we compare SysML to our simulation abstraction to find the parts of SysML closest to simulation modeling, and to identify simulation concepts missing from SysML. This leads to extensions of SysML to bridge the gaps, illustrated with an example application. Next, we address issues in translating extended SysML models to common simulation tools and languages, including the differences between them. Finally, we validate the approach by applying the extension to an example SysML model, automating the translations in software, and showing that the results execute the same way on different simulation platforms. [ABSTRACT FROM AUTHOR]
Copyright of Systems Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: ABSTRACT Computer-interpretable representations of system structure and behavior are at the center of developing today's complex systems. Systems engineers create and review these representations using graphical modeling languages that capture requirements, designs, and tests (such as the Systems Modeling Language, SysML). However, these languages must be used in conjunction with analysis tools, in particular, with simulators for physical interaction and numeric signal flow based on ordinary and algebraic differential equation solvers. These kind of simulation tools are often used separately from system modeling tools, leading to inconsistencies that require additional work to eliminate, preventing multidisciplinary concerns from being reflected in the overall system design. As a result, there is an increasing need for integrating physical interaction and signal flow simulation tools and languages into system modeling under a single framework. In this article, we first present an abstraction of the constructs and semantics these simulation tools and languages have in common, based on earlier reviews. Then, we compare SysML to our simulation abstraction to find the parts of SysML closest to simulation modeling, and to identify simulation concepts missing from SysML. This leads to extensions of SysML to bridge the gaps, illustrated with an example application. Next, we address issues in translating extended SysML models to common simulation tools and languages, including the differences between them. Finally, we validate the approach by applying the extension to an example SysML model, automating the translations in software, and showing that the results execute the same way on different simulation platforms. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Systems Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/sys.21380
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              Text: Sep2017
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