Trends in Occurrences of Systems Engineering Topics in Literature
Examining past research using content analysis can provide detailed information about the trends a discipline has displayed over years or decades. Disciplines such as software engineering and hospitality management have used methods for analyzing topic frequencies in the past. This paper uses simila...
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doaj-19b4adc60b274841a97ec17bff5861b92020-11-25T01:12:18ZengMDPI AGSystems2079-89542019-05-01722810.3390/systems7020028systems7020028Trends in Occurrences of Systems Engineering Topics in LiteratureGarima Bhatia0Bryan Mesmer1Department of Industrial & Systems Engineering and Engineering Management, University of Alabama in Huntsville, Huntsville, AL, 35899, USADepartment of Industrial & Systems Engineering and Engineering Management, University of Alabama in Huntsville, Huntsville, AL, 35899, USAExamining past research using content analysis can provide detailed information about the trends a discipline has displayed over years or decades. Disciplines such as software engineering and hospitality management have used methods for analyzing topic frequencies in the past. This paper uses similar methods to study the presence of systems engineering topics in literature to understand the occurrence of approaches and metrics in the community over time. This paper reviews the trends of systems engineering topics over the years 1998–2016 by performing a content analysis of four systems engineering and design engineering journals. A mathematical analysis of the trends is performed using rank ordering and a rank correlation metric. The study shows that model-based approaches have grown significantly since the early 2000s, as advocated in the INOCSE MBSE initiative, while other approaches such as Taguchi’s method and axiomatic design have been seen less frequently in literature. Systems engineering metrics that have been frequently seen in literature include complexity, reliability, and quality. The results from this research provide a portrait of the systems engineering landscape.https://www.mdpi.com/2079-8954/7/2/28systems engineeringcontent analysistrends |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Garima Bhatia Bryan Mesmer |
spellingShingle |
Garima Bhatia Bryan Mesmer Trends in Occurrences of Systems Engineering Topics in Literature Systems systems engineering content analysis trends |
author_facet |
Garima Bhatia Bryan Mesmer |
author_sort |
Garima Bhatia |
title |
Trends in Occurrences of Systems Engineering Topics in Literature |
title_short |
Trends in Occurrences of Systems Engineering Topics in Literature |
title_full |
Trends in Occurrences of Systems Engineering Topics in Literature |
title_fullStr |
Trends in Occurrences of Systems Engineering Topics in Literature |
title_full_unstemmed |
Trends in Occurrences of Systems Engineering Topics in Literature |
title_sort |
trends in occurrences of systems engineering topics in literature |
publisher |
MDPI AG |
series |
Systems |
issn |
2079-8954 |
publishDate |
2019-05-01 |
description |
Examining past research using content analysis can provide detailed information about the trends a discipline has displayed over years or decades. Disciplines such as software engineering and hospitality management have used methods for analyzing topic frequencies in the past. This paper uses similar methods to study the presence of systems engineering topics in literature to understand the occurrence of approaches and metrics in the community over time. This paper reviews the trends of systems engineering topics over the years 1998–2016 by performing a content analysis of four systems engineering and design engineering journals. A mathematical analysis of the trends is performed using rank ordering and a rank correlation metric. The study shows that model-based approaches have grown significantly since the early 2000s, as advocated in the INOCSE MBSE initiative, while other approaches such as Taguchi’s method and axiomatic design have been seen less frequently in literature. Systems engineering metrics that have been frequently seen in literature include complexity, reliability, and quality. The results from this research provide a portrait of the systems engineering landscape. |
topic |
systems engineering content analysis trends |
url |
https://www.mdpi.com/2079-8954/7/2/28 |
work_keys_str_mv |
AT garimabhatia trendsinoccurrencesofsystemsengineeringtopicsinliterature AT bryanmesmer trendsinoccurrencesofsystemsengineeringtopicsinliterature |
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