Analysis of INCOSE Systems Engineering journal and international symposium research topics. Issue 4 (31st March 2021)
- Record Type:
- Journal Article
- Title:
- Analysis of INCOSE Systems Engineering journal and international symposium research topics. Issue 4 (31st March 2021)
- Main Title:
- Analysis of INCOSE Systems Engineering journal and international symposium research topics
- Authors:
- Oosthuizen, Rudolph
Pretorius, Leon - Abstract:
- Abstract: 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 projectAbstract: 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. … (more)
- Is Part Of:
- Systems engineering. Volume 24:Issue 4(2021)
- Journal:
- Systems engineering
- Issue:
- Volume 24:Issue 4(2021)
- Issue Display:
- Volume 24, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 24
- Issue:
- 4
- Issue Sort Value:
- 2021-0024-0004-0000
- Page Start:
- 203
- Page End:
- 220
- Publication Date:
- 2021-03-31
- Subjects:
- bibliometrics -- natural language processing -- research -- systems engineering -- topic modeling
Systems engineering -- Periodicals
620.0011 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6858 ↗
http://www3.interscience.wiley.com/cgi-bin/jhome/39084 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/sys.21575 ↗
- Languages:
- English
- ISSNs:
- 1098-1241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8589.340500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17577.xml