Gaps in the Body of Knowledge of Systems Engineering

Squires, Alice; Olwell, David H.; Roedler, Garry; Ekstrom, Joseph J.

doi:10.1002/j.2334-5837.2012.tb01449.x

Cited by 4 publications

(4 citation statements)

References 5 publications

(5 reference statements)

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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%

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%

Analysis of INCOSE Systems Engineering journal and international symposium research topics

Oosthuizen

Pretorius

2021

Systems Engineering

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“…Systems Engineering Applications). Squires et al (2012) proposed a set of topics for the Systems Engineering Body of Knowledge (SEBoK) that comprise the discipline of systems engineering. The SEBoK focuses on the system engineering elements that has solid roots in theory and application as well as emerging topics from research and advances in technology and tools.…”

Section: Resultsmentioning

confidence: 99%

“…The SEBoK focuses on the system engineering elements that has solid roots in theory and application as well as emerging topics from research and advances in technology and tools. These topics at that stage were emerging and developing in systems engineering to highlight some gaps in the SEBoK (Squires et al 2012). With some minor adjustments in the wording of the topics, these can be mapped to the topics from Table 1:…”

Section: Resultsmentioning

confidence: 99%

A Bibliometric Method for Analysis of Systems Engineering Research

Oosthuizen

Pretorius

2020

INCOSE International Symp

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Since systems engineering is still a relatively young and growing discipline, it requires a periodic analysis, taking into account past research to derive the requirements for future growth. Published research provides a good indication on the progress and maturity of a scientific discipline. Bibliometric analysis is a valuable tool to assess published research. This paper establishes a method to determine the main research topics published in the Systems Engineering Journal (INCOSE) since its inception. The research and associated analysis method applies Natural Language Processing with Topic Modelling to extract the main topics from the abstracts of all the papers published in the journal. The analyzed data provides the trends in topic coverage over time.

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“…In addition to utilizing PEST sectors to analyze business situations, evaluating system architectures in the framework of PEST sectors may be performed. The boundaries of systems engineering are expanding and becoming more sophisticated and more global, thus requiring broader considerations in architecting the systems [Squires et al., ]. Although The Art of Systems Architecting was primarily about technological systems, the authors recognized that depending on the system, there could be many PEST factors that should be accommodated [Maier and Rechtin, ].…”

Section: Introductionmentioning

confidence: 99%

Modeling the Convergence of Collaborative Systems of Systems: A Quantitative Case Study

2017

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A "system of systems" (SoSs) provides functionality beyond that offered by its constituent systems. The functionality emerges over time, and there is a need to predict and affect the system's convergence toward the desired functionality. The convergence of a collaborative SoS is dependent on political, economic, societal, and technological (PEST) factors. In this paper, the authors propose a model for predicting and analyzing the convergence of SoSs. We use the United States smart grid, a collaborative SoS, to demonstrate the power of the developed model. The United States smart grid's convergence depends on factors such as energy policies, roadmaps, grants, cost recovery, consumer support, and sufficiency of technological solutions. We constructed a dynamic Bayesian network to predict the convergence and then assess the influence of each of the PEST factors. The output of the convergence model can be used to predict and communicate technical progress to stakeholders and to analyze and optimize the investment of resources to affect the PEST factors. Understanding the convergence of SoSs is important for making sound business and technology investment decisions. This approach of predicting and analyzing convergence should be extended to other SoSs. C⃝ 2017 Wiley Periodicals, Inc. Syst Eng 20: 357-378, 2017

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Gaps in the Body of Knowledge of Systems Engineering

Cited by 4 publications

References 5 publications

Analysis of INCOSE Systems Engineering journal and international symposium research topics

Analysis of INCOSE Systems Engineering journal and international symposium research topics

A Bibliometric Method for Analysis of Systems Engineering Research

Modeling the Convergence of Collaborative Systems of Systems: A Quantitative Case Study

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