9.1.3 Development of a Framework of Research Topics in Systems Engineering

Ferris, Timothy L.J.

doi:10.1002/j.2334-5837.2009.tb01021.x

Cited by 9 publications

(8 citation statements)

References 8 publications

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“…The final step of validation compares the output of the topic modeling process presented in this paper to systems engineering research topics proposed in the literature. A number of authors have proposed various lists, for different problems or contexts, since 2008 2,35,37–40 . However, deriving a unified list of systems engineering research topics from literature is not easy.…”

Section: Resultsmentioning

confidence: 99%

“…Although systems principles and systems thinking have existed for many years, the field of modern systems engineering only became formalized after World War 2. Engineers required an approach to support the development of weapon systems that continually increased in complexity 2 . Since then, the concepts of system design, analysis, and development have evolved into the systems engineering discipline.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of INCOSE Systems Engineering journal and international symposium research topics

Oosthuizen

Pretorius

2021

Systems Engineering

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The pressure on systems engineering is ever‐increasing to support the development and implementation of systems that meet a complex environment's demands. As a growing discipline, systems engineering requires insight into past research to identify opportunities for future growth. Analyzing the bibliometric data on published research provides valuable information on a scientific discipline's past progress and future prospects. Therefore, this paper extracts the research topics published in INCOSE's journal Systems Engineering and the annual international symposium proceedings to analyze their composition and allocation to papers. The implemented process applies natural language processing and topic modeling to extract the main topics from these papers' titles and abstracts. Analyzing these research topics' composition and mapping them to processed articles helps to understand their relative importance. The analysis's output confirms the importance of modeling in systems engineering, as it is the most popular topic. The additional focus of research papers on the systems engineering process, practice, and methodologies also indicates that the field is still growing and evolving. Some important topics to systems engineering, which were not found as prominent topics, are humans' roles in systems, verification and validation, and other specialty fields. This new knowledge about the structure of research into systems engineering can identify future research project opportunities to continue growing the field.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of INCOSE Systems Engineering journal and international symposium research topics

Oosthuizen

Pretorius

2021

Systems Engineering

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“…In part this is related to subject matter: it does not require statistical treatment to explain a standard, a set of processes, or a case study, or to catalogue principles, or theorize about complex systems science or reuse . In part it is related to the maturation of the research arm of INCOSE: there are now several research strategies available, such as Vision2020, Ferris, and Valerdi that show measurable practical ways to improve the frontier of systems engineering knowledge.…”

Section: Resultsmentioning

confidence: 99%

Evolution of systems engineering scholarship from 2000 to 2015, with particular emphasis on software

Sheard

2018

Systems Engineering

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Systems engineering in 2018 has many challenges, both to build the complex systems of systems of the future, and to build the complex systems of which they are composed. Systems engineering needs to be able to design around stable requirements when there are long-lead manufactured items to be incorporated, and also needs to be able to evolve the design along with evolving requirements for larger systems. The "systems engineering of yesterday," which, when done well, greatly enhanced the design and use of stand-alone systems, has to be extended to adequately cover evolving systems of systems, being agile and resilient and responsive. This paper compares articles in 1 year of the first 5 years and 1 year of the last 5 years out of the 20-year history of the Systems Engineering journal, and considers generality via lexicographic trend analysis. Based on the topics addressed by the articles in each year, there is more interest today in the larger system (e.g., economics, simulation of the environment, systems-of-systems), on quality attributes (more often called "ilities" or life-cycle properties in systems engineering * ) and on modeling, management, and technology maturity. There is less interest today in process and requirements. These can be explained by systems engineering having moved away from initially deeply-explored topics into new areas. K E Y W O R D Scomplex systems, disciplines, evolution, literature review, software

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“…The concept of homomorphism seems to have been applied to categorically map processes of requirements definition used throughout the literature (White, Lacy, and O'Hair 1996). In another article, there are brief and abstract mentions of homomorphism as a means to transform observation to possible representations of nature (Ferris 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

Formalizing the Representativeness of Verification Models using Morphisms

Wach

Beling

Salado

2022

INCOSE International Symp

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With the increasing complexity that is being introduced to engineered systems, the literature suggests that verification may benefit from theoretical foundations. In practice and in teaching of system engineering (SE), we typically define a verification model (simulation, test article, etc.) under the assumption that the model is a valid representation of the system design. Is this assumption always true? In this article, we explore the use of system theoretic morphisms to mathematically characterize the validity of representativeness between verification models and corresponding system design.

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9.1.3 Development of a Framework of Research Topics in Systems Engineering

Cited by 9 publications

References 8 publications

Analysis of INCOSE Systems Engineering journal and international symposium research topics

Analysis of INCOSE Systems Engineering journal and international symposium research topics

Evolution of systems engineering scholarship from 2000 to 2015, with particular emphasis on software

Formalizing the Representativeness of Verification Models using Morphisms

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