Perceptions and the extent of Model-Based Systems Engineering (MBSE) use – An industry survey

Akundi, Aditya; Ankobiah, Wilma; Mondragon, Oscar; Luna, Sergio

doi:10.1109/syscon53536.2022.9773894

Cited by 8 publications

(18 citation statements)

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“…In the given context, (Akundi et al, 2023 ), knowledge refers to the skills and information acquired through experience and education. The model introduces the concept of entropy, which measures the average information produced based on the probability distribution of keywords in student text recordings.…”

Section: Entropy Applications To Educationmentioning

confidence: 99%

“…In information theory (Akundi et al, 2023), Shannon entropy quantifies the uncertainty or randomness of a set of symbols or data, and reads as:…”

Section: Introductionmentioning

confidence: 99%

“…Entropy is a concept (Akundi et al, 2023), that has different interpretations in various fields. It is widely used in different research areas, such as assessing system robustness, vulnerability, and complexity.…”

Section: Introductionmentioning

confidence: 99%

“…Section four is concerned with conclusion combined with the next phase of research. (Akundi et al, 2023 ) highlighted the potential for developing assessment tools in the field of education using the concept of entropy. Several studies have explored the application of entropy in classroom assessment, such as evaluating essay content, building classification models, adaptive student assessment techniques, and assessing learner understanding based on free text answers.…”

Section: Introductionmentioning

confidence: 99%

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Entropy has a Great Potential to Steer Education above and Beyond

Mageed

2024

Preprint

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Numerous scientific fields employ entropy, the Shannonian measure of disorder and inaccessible information. Current paper examines educational uses of entropy. The major objectives of this survey are to create a coherent perspective of the applicability of classical entropies and to provide a concise detailed explanation that blends technical pertinence with conceptual extraction from the most recent literature. What's more intriguing are the closing thoughts mixed with a few unsolved issues and the creation of a future work schedule in these areas.

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Section: Entropy Applications To Educationmentioning

confidence: 99%

“…In information theory (Akundi et al, 2023), Shannon entropy quantifies the uncertainty or randomness of a set of symbols or data, and reads as:…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Entropy has a Great Potential to Steer Education above and Beyond

Mageed

2024

Preprint

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“…In [26] Akundi, Ankobiah, Mondragon and Luna convey an industry point of view of what MBSE is and discusses MBSE adoption challenges. The approach developed in [26] is complementary to the one in the current paper in the sense that [26] mostly relies on interview of industry practitioners where the current paper surveys tools, as well as languages and methods, by essentially relying a literature review augmented by the authors' experience in teaching MBSE. VOLUME 10, 2022…”

Section: Related Workmentioning

confidence: 99%

A Taxonomy of MBSE Approaches by Languages, Tools and Methods

et al. 2022

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Systems engineering has gained in maturity over the last decades and started a transition from document-centric approaches to Model-Based Systems Engineering (MBSE). Several papers have discussed the benefits and potential, but also the limitations, of using MBSE, based on literature surveys and analyze feedback from academia and industry. The current paper explores a complementary avenue and aims at giving students and industry practitioners a set of keys and decision criteria to select MBSE languages, tools and methods. Languages, tools and methods are categorised and selection criteria are proposed for a panorama of languages that goes beyond SysML and other techniques commonly associated with MBSE. In addition, research avenues for the future of MBSE are identified. The discussion relies on the authors' experience in teaching and using system engineering and MBSE in both academia and industry, as well as on the experience shared within the framework of Concorde, a French project dedicated to drone systems design methodologies.

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The Effects of the Assessed Perceptions of MBSE on Adoption

Call,

Herber,

Conrad

2024

INCOSE International Symp

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Traditional document‐based systems engineering (SE) practices have proven inadequate to address modern systems' increasing complexity, leading to shortcomings in SE outcomes. To address these limitations, model‐based systems engineering (MBSE) has emerged with an emphasis on the system model as the primary SE artifact. Despite its potential, MBSE has not achieved widespread adoption. This study explores MBSE adoption challenges through the lens of the diffusion of innovations theory to identify factors hindering its adoption. The study's methodology includes a survey distributed to SE professionals focusing on perceptions of attributes of MBSE identified by the diffusion of innovations theory, current use of models and MBSE, and basic demographic information. Results highlighted that respondents recognize the relative advantage of MBSE in improving data quality and traceability, but perceived complexity and compatibility with existing practices still present barriers to adoption. Subpopulation analysis reveals that those who are not already involved in MBSE efforts face the additional adoption obstacles of limited trial opportunities and tool access (chi‐squared test of independence between these populations resulted in p = 0.00). The survey underscores the potential for closer alignment between MBSE and existing SE methodologies to improve the perceived compatibility of MBSE. Future studies would benefit from examining additional variables identified by the diffusion of innovations theory, incorporating control questions to differentiate between perceptions of SE generally and MBSE specifically, identification of better methods to assess current MBSE use by participants, and measures to broaden the participant scope. Finally, the imminent introduction of SysML v2 presents a unique opportunity to reshape perceptions of MBSE to improve the adoption rate of MBSE and enhance its accessibility among SE professionals.

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Perceptions and the extent of Model-Based Systems Engineering (MBSE) use – An industry survey

Cited by 8 publications

References 0 publications

Entropy has a Great Potential to Steer Education above and Beyond

Entropy has a Great Potential to Steer Education above and Beyond

A Taxonomy of MBSE Approaches by Languages, Tools and Methods

The Effects of the Assessed Perceptions of MBSE on Adoption

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