Recommended Best Practices based on MBSE Pilot Projects

Noguchi, Ryan A.

doi:10.1002/j.2334-5837.2019.00633.x

Cited by 13 publications

(26 citation statements)

References 5 publications

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“…This will be a constant struggle between the tensions of short-term and long-term needs in which the architect has to make a large number of bets with limited information. (Noguchi 2019) Adding complexity to the model to reduce the likelihood for expensive architectural refactoring may add quite a lot of additional work in the present, increasing the deterministic cost of the development effort in exchange for a desirable reduction in the stochastic cost that will manifest in the future. This can be a difficult "sell" for the model architect facing schedule pressure to produce models and having barely enough resources to do so.…”

Section: The Model Architectmentioning

confidence: 99%

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Architecting Descriptive Models for MBSE

Noguchi

2023

INCOSE International Symp

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Model‐Based Systems Engineering (MBSE) is becoming increasingly recognized as a critical enabler for significantly improving the effectiveness and efficiency of systems engineering. While MBSE is seeing significant growth in its application to complex system development programs, the growth of MBSE adoption and realized value is often stymied by the growth of technical debt in the descriptive models that serve as the foundation of knowledge capture and communication in an MBSE environment. Just as a good system architect or software architect makes key decisions early in the life of a system or software product to maximize the likelihood of stakeholder satisfaction throughout its life, a good model architect can provide that same invaluable function for descriptive models. The methods and practices of system and software architecting can be readily adapted to address the technical debt growth problem often seen in the development of descriptive models. This paper describes the emerging discipline of “model architecting,” comparing and contrasting it with system and software architecting practices. The paper describes a representative set of model architecting patterns that illustrate model architecting principles, then identifies some of the key roles, responsibilities, and competencies required of the model architect.

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Section: The Model Architectmentioning

confidence: 99%

“…Many lessons learned have been observed in early pilot efforts to prototype and demonstrate the value of MBSE via hands-on exploration, and best practices have emerged from these exploratory efforts and from subsequent activities to deploy MBSE on a more "production" basis. (Noguchi 2019).…”

Section: Introductionmentioning

confidence: 99%

Architecting Descriptive Models for MBSE

Noguchi

2023

INCOSE International Symp

Self Cite

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“…The creation, development, and sustainment of a shared systems model are the primary goals of any MBSE methodology. An enabler of greater efficiency and effectiveness within the systems engineering discipline, the shared systems model allows details of a system to be captured and made available in a variety of views for the benefit of all concerned stakeholders (Noguchi 2016). To support the model-based simulation of the lunar habitat system, a detailed shared system architecture was developed in SysML using the CATIA Magic/Cameo MagicDraw software application published by Dassault Systèmes (Dassault Systèmes 2021).…”

Section: Model-based Shared Systems Architecture Developmentmentioning

confidence: 99%

Applying Model‐Based Systems Engineering Methods to a Novel Shared Systems Simulation Methodology

Ross,

Vinarcik,

Caron

et al. 2022

INCOSE International Symp

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The need to develop increasingly complex, integrated systems and multi‐domain systems‐of‐systems is initiating a transformation within the discipline of systems engineering. The critical trends of increasing interconnectivity, compressed development times, growing cybersecurity concerns, and a rapidly changing workforce are driving current systems engineering practices into obsolescence. Model‐Based Systems Engineering (MBSE) is a formalized approach to systems engineering that uses models as an integral component of a system's technical definition with the objective of enhancing communication through rigor and precision and managing system complexity. This paper discusses the application of MBSE methods to the definition of a shared systems architecture and the development of novel methodologies for extending the model‐based approach from the system definition space into the system simulation and analysis domain. Approaches for interface management of design properties between a model‐based architecture and system simulation will be reviewed, with the effectiveness of each approach discussed.

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“…The MBSE‐based development process is described as repeated iterations of evolution and refinement of the system's models. Successful deployment of MBSE in SE and best‐practices 17 were demonstrated and even its return‐on‐investment was determined 18 …”

Section: Introductionmentioning

confidence: 99%

Model‐based‐systems‐engineering for conceptual design: An integrative approach

Tavory

Peleg²,

Zonnenshain

et al. 2023

Systems Engineering

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Conceptual‐Design is an early development phase, where innovation and creativeness shape the future system/product. Model‐Based‐Conceptual‐Design (MBCD) attempts to use best‐practices of Model‐Based‐Systems‐Engineering (MBSE) to gain the envisioned benefits of model connectivity. Using MBSE supporting tools can transform Conceptual‐Design into a digital‐engineered process but may impede creativity and innovation. Concurrently, the design domain offers specific methods and tools for innovative Conceptual‐Design. In the current study, we explore an existing Conceptual‐Design framework and offer MBSE interpretation and tools extensions needed for its digital implementation. Through such exploration we highlight MBCD specific insights and discuss modeling‐innovation interrelations. The implementation was accomplished using a domain‐specific enabling software package on top of a market‐accepted UML/SysML platform, extending the language definitions, where appropriate. The framework guided extensions allow generation of innovative bottom‐up alternatives, solution integration, and solutions’ comparison. The use of modeling is shown to offer clearer process definition, specific methods assistance, and alternative ranking—both manually and automatically. Consequently, MBCD is accomplished, which supports innovation, while being digitally connected to full‐scale‐development models and the organizational assets at large. Through integration into the orderly Systems‐Engineering process, traceability is maintained, and repeated iterations are supported, where conceptual decisions may be revisited. Additionally, through the introduction of an assets’ catalog, cross‐organizational knowledge sharing is accomplished. The paper presents samples of the extensions, using a simplified example of technology design for Future Firefighting. The value of incorporating Conceptual‐Design specific methodology and tools is evaluated through feedback from multiple domain experts. Discussion and future research directions are offered.

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Recommended Best Practices based on MBSE Pilot Projects

Cited by 13 publications

References 5 publications

Architecting Descriptive Models for MBSE

Architecting Descriptive Models for MBSE

Applying Model‐Based Systems Engineering Methods to a Novel Shared Systems Simulation Methodology

Model‐based‐systems‐engineering for conceptual design: An integrative approach

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