Modeling from the perspectives of software engineering and systems engineering have co-evolved over the last two decades as orthogonal approaches. Given the central role of software in modern cyber-physical systems and the increasing adoption of digital engineering practices in complex systems design, there is now significant opportunity for collaborative design among system users, software developers, and systems engineers. Model-based systems engineering (MBSE) and systems modeling languages can support seamless cross-domain connectivity for design, simulation, and analysis of emerging technologies such as Augmented Reality (AR). This paper presents a co-design process for extending the capability of an existing AR application referred to as a No-Code AR Systems (NCARS) framework. NCARS enables content developed by multi-domain authors to be deployed on AR devices through a software layer that bridges the content to the game engine that drives the AR system. Utilizing a software dependency diagram of the AR Annotation function, an existing MBSE model of the AR system is extended to include the structure and behavior of relevant software components. This allows a modular design of the system to address needs in integrating new requirements into the existing application. New user requirements for tracking items in motion in the user’s physical environment with virtual annotations in the augmented space are collaboratively designed and visualized through use case, block definition, internal block, and sequence diagrams. They capture the required structure and behavior of the proposed to-be system.
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A Novel Approach to Behavior Design for Model Based Systems Engineering Application Using Design Structure Matrix
Model-Based Systems Engineering (MBSE) is the formalized application of modeling to support various system evolving stages starting from the conceptual design phase to all the life cycle phases that follow. To facilitate in an efficient system behavior design process, in this paper, a Design Structure Matrix (DSM) based approach is developed and illustrated for determining the operational sequence of activities relevant to requirements of the system and in identifying the concurrent activities as well. A triangularization algorithm method is extended especially for application on activity diagrams to determine knowledge activities in an interaction graph to identify groups of activities and arrange them concurrently. The findings through the DSM based approach are validated by a system engineering expert and are implemented to construct the MBSE activity diagram to facilitate an enhanced behavior design of the system. This paper illustrates the use of Design Structure Matrix to facilitate modeling interdependencies between activities and the approach to aggregate the resulted sequential and concurrent activities with the activity diagram, applied to a case study of Execute Hohmann Transfer based on DellSat-77 Satellite System. In addition, the potentials benefits of using a Design Structure Matrix methodology for assisting Model Based Systems Engineering activities for enhanced systems behavior design is portrayed.
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- Award ID(s):
- 1952634
- PAR ID:
- 10273262
- Date Published:
- Journal Name:
- 2021 IEEE International Systems Conference (SysCon)
- Page Range / eLocation ID:
- 1 to 7
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/SysCon48628.2021.9447074
