Augmenting requirements with models to improve the articulation between system engineering levels and optimize V&amp;V practices

Bonnet, Stéphane; Voirin, Jean‐Luc; Navas, Juan Sebastián Gómez

doi:10.1002/j.2334-5837.2019.00650.x

Cited by 14 publications

(7 citation statements)

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“…Interestingly, recent work within the INCOSE Requirements Working Group also concludes such an information-centric approach is necessary (Wheatcraft 2019). Thales also shared similar views at the 2019 INCOSE International Symposium (Bonnet, Voirin & Navas, 2019).…”

Section: A Knowledge-enhanced Requirement Approachmentioning

confidence: 93%

Model Integrated Decomposition and Assisted Specification (MIDAS)

Hall

Fiedor

Jeppu

2020

INCOSE International Symp

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MIDAS (Model Integrated Decomposition and Assisted Specification) is an innovative new approach to requirement specification. By integrating textual and intent‐based model‐assisted requirement flows, MIDAS presents a paradigm shift from prior model‐based and traditional textual requirement processes. Such a change is necessary to address the full intent of design assurance. The goal of MIDAS is to address the many challenges we have observed in applying the current model‐based certification guidance. The principal issue with interpreting the current guidance is a misplaced focus on the separation of graphical vs. textual specification rather than a clean and clear separation of design from intent. Hence, this aspect forms the core of our proposed MIDAS approach. Our intent‐based focus also mitigates the often implementation‐centric perspective of model‐based requirement flows. Our hybrid model‐based constrained language flow also addresses the weakness of informal natural language‐based specifications. Finally, MIDAS facilitates the integration of knowledge management with requirement engineering, allowing easier visualization of the full requirement context. By writing this paper, we share our observations and ideas openly to encourage feedback and collaboration with potential development partners.

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Section: A Knowledge-enhanced Requirement Approachmentioning

confidence: 93%

Model Integrated Decomposition and Assisted Specification (MIDAS)

Hall

Fiedor

Jeppu

2020

INCOSE International Symp

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“…■ Share -improve communication, reduce ambiguities and reach, as fast as possible, a common understanding of the system's purpose, form and behavior, for example, use model-based architecture views to support discussions with customers. ■ Secure -guarantee the quality of the engineering data, hopefully at any moment of the engineering process and beyond, for example, use architecture models as the backbone for textual requirements elicitation, analysis, and documentation (Bonnet 2019). ■ Automate -automate the execution of the engineering processes to improve its efficiency, through (i) automatically generating engineering artefacts from architecture models, and (ii) automate architecture tasks, for example, generate document deliverables from models, generate software modules from architecture models, and automate the exploration of solution spaces.…”

Section: Architecture Design Objectivesmentioning

confidence: 99%

From Model‐based to Model and Simulation‐based Systems Architectures—Achieving Quality Engineering through Descriptive and Analytical Models

Nowodzienski¹,

Navas²

2023

INSIGHT

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Systems architecture design is a key activity that affects the overall systems engineering cost. Hence it is fundamental to ensure that the system architecture reaches a proper quality. In this paper, we leverage model-based systems engineering (MBSE) approaches and complement them with simulation techniques, as a promising way to improve the quality of the system architecture definition, and to come up with innovative solutions while securing the systems engineering process.

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“…As model-based engineering (MBSE) practices progress in being associated to requirements (Bonnet, Voirin, and Navas 2019) the definition of system in early design is improving as complexity challenges rises. The return on investment of such practices (Duffy et al 2021) has been identified.…”

Section: State Of the Art A Requirements Engineeringmentioning

confidence: 99%

Inconsistent and Incomplete Datasheet: The Case for Systematic Use of Requirement Engineering

Brisacier-Porchon¹,

Hammami²

2023

INSIGHT

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The lifecycle of a system is extended from its early conception to its retirement of service. The lifespan of unmanned ground vehicles (UGVs) can be expected to last over 50 years in the defense market. In this context, the rising complexity of UGV systems imposes engineering steps that would ensure both capabilities of the system and resilience to its future inclusion in a system‐of system context. During its operational usage, the UGV is supposed to be maneuvered for specifically designed purposes following user manual datasheet of the components off‐the‐shelf (COTS) that were integrated. This paper exposes the public user datasheet relevance compared to the system engineering requirements that are the artifacts of system design architecture. The use of connecting COTS user manual to system requirements is discussed, all the more if the systems are to be re‐used in a system production line. This article is intended to explore system of system conception methods for future robotized battlefield.

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Augmenting requirements with models to improve the articulation between system engineering levels and optimize V&V practices

Cited by 14 publications

References 0 publications

Model Integrated Decomposition and Assisted Specification (MIDAS)

Model Integrated Decomposition and Assisted Specification (MIDAS)

From Model‐based to Model and Simulation‐based Systems Architectures—Achieving Quality Engineering through Descriptive and Analytical Models

Inconsistent and Incomplete Datasheet: The Case for Systematic Use of Requirement Engineering

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