Towards a logical framework for ideal MBSE tool selection based on discipline specific requirements

Azad Khandoker, Sabine Sint, Guido Gessl, Klaus Zeman, Franz Jungreitmayr, Helmut Wahl, Andreas Wenigwieser, Roland Kretschmer

Research output: Contribution to journalArticlepeer-review

Abstract

Model-Based Systems Engineering (MBSE) has emerged with great potential to fulfil the non-linearly rising demand in interdisciplinary engineering, e.g., product development. However, the variety and complexity of MBSE tools pose difficulties in particular industrial applications. This paper tries to serve as a guideline to find the ideal tool for a specific industrial application as well as to highlight the key criteria that an industry might consider. For this purpose, we propose a logical framework for MBSE tool selection, which is based on market research, the approaches of Quality Function Deployment (QFD), and decision matrix. As customers are at the centre of any product, accordingly the needs of MBSE tool users are addressed within this research as the fundamental starting point. Market research and extensive discussions with MBSE tool vendors and academia show the current situation of MBSE tools. To compare the performance of the considered tools, a set of user needs is defined. QFD is performed to analyse the user needs with respect to evaluable technical properties. Subsequently each tool performance is assessed using a decision matrix. Through this process, a well-defined functional structure of MBSE tools is sketched, and in order to identify the properties of an ideal tool, all the attributes of different MBSE tools are mapped to a common platform. For the purpose of evaluation, we apply our proposed logical framework to select an exemplary MBSE tool for interdisciplinary application.
Original languageEnglish
Article number111306
Number of pages15
JournalThe Journal of Systems and Software
Volume189
DOIs
Publication statusPublished - Mar 2022

Fields of science

  • 202017 Embedded systems
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102016 IT security
  • 102020 Medical informatics
  • 102022 Software development
  • 102027 Web engineering
  • 102034 Cyber-physical systems
  • 509026 Digitalisation research
  • 502032 Quality management
  • 502050 Business informatics
  • 503015 Subject didactics of technical sciences

JKU Focus areas

  • Digital Transformation

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