Systems Engineers' Effectiveness in an Organization: Text and Visual Analytics Approach

Araceli Zavala, Shikha Soneji, Suchita Kothari, Jose Emmanuel Ramirez-Marquez, Hoong Yan See Tao, Nicole Hutchison

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The Helix project is a multiyear longitudinal research study focus on understanding what makes systems engineers effective. The Helix team gathered data through interviews, site visits, and surveys with individuals who are doing systems engineering (SE) work on programs, supervising systems engineers, using products from systems engineers, and are knowledgeable about SE. The responses provided by the participants were documented and analyzed using text mining techniques, such as topic modeling and word similarity. To interpret the results, the team developed several visualizations from three scenarios, full corpus, by organization type, and by domain. The visuals show the common language among systems engineers within topics and the relationship between words from the three scenarios mentioned above. Also, the article provides insights into what enables systems engineers to be proficient or effective in their organizations.

Original languageEnglish
Article number9001119
Pages (from-to)5049-5060
Number of pages12
JournalIEEE Systems Journal
Volume14
Issue number4
DOIs
StatePublished - Dec 2020

Keywords

  • Effectiveness
  • systems engineering (SE)
  • text mining
  • topic modeling
  • visualization
  • word similarity

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