Should I Stay or Should I Go? On Forces that Drive and Prevent MBSE Adoption in the Embedded Systems Industry

[Context] Model-based Systems Engineering (MBSE) comprises a set of models and techniques that is often suggested as solution to cope with the challenges of engineering complex systems. Although many practitioners agree with the arguments on the potential benefits of the techniques, companies strugg...

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Published inProduct-Focused Software Process Improvement pp. 182 - 198
Main Authors Vogelsang, Andreas, Amorim, Tiago, Pudlitz, Florian, Gersing, Peter, Philipps, Jan
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2017
SeriesLecture Notes in Computer Science
Subjects
Online AccessGet full text
ISBN9783319699257
3319699253
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-69926-4_14

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Abstract [Context] Model-based Systems Engineering (MBSE) comprises a set of models and techniques that is often suggested as solution to cope with the challenges of engineering complex systems. Although many practitioners agree with the arguments on the potential benefits of the techniques, companies struggle with the adoption of MBSE. [Goal] In this paper, we investigate the forces that prevent or impede the adoption of MBSE in companies that develop embedded software systems. We contrast the hindering forces with issues and challenges that drive these companies towards introducing MBSE. [Method] Our results are based on 20 interviews with experts from 10 companies. Through exploratory research, we analyze the results by means of thematic coding. [Results] Forces that prevent MBSE adoption mainly relate to immature tooling, uncertainty about the return-on-investment, and fears on migrating existing data and processes. On the other hand, MBSE adoption also has strong drivers and participants have high expectations mainly with respect to managing complexity, adhering to new regulations, and reducing costs. [Conclusions] We conclude that bad experiences and frustration about MBSE adoption originate from false or too high expectations. Nevertheless, companies should not underestimate the necessary efforts for convincing employees and addressing their anxiety.
AbstractList [Context] Model-based Systems Engineering (MBSE) comprises a set of models and techniques that is often suggested as solution to cope with the challenges of engineering complex systems. Although many practitioners agree with the arguments on the potential benefits of the techniques, companies struggle with the adoption of MBSE. [Goal] In this paper, we investigate the forces that prevent or impede the adoption of MBSE in companies that develop embedded software systems. We contrast the hindering forces with issues and challenges that drive these companies towards introducing MBSE. [Method] Our results are based on 20 interviews with experts from 10 companies. Through exploratory research, we analyze the results by means of thematic coding. [Results] Forces that prevent MBSE adoption mainly relate to immature tooling, uncertainty about the return-on-investment, and fears on migrating existing data and processes. On the other hand, MBSE adoption also has strong drivers and participants have high expectations mainly with respect to managing complexity, adhering to new regulations, and reducing costs. [Conclusions] We conclude that bad experiences and frustration about MBSE adoption originate from false or too high expectations. Nevertheless, companies should not underestimate the necessary efforts for convincing employees and addressing their anxiety.
Author Philipps, Jan
Amorim, Tiago
Pudlitz, Florian
Gersing, Peter
Vogelsang, Andreas
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Winkler, Dietmar
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Kalinowski, Marcos
Méndez Fernández, Daniel
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EndPage 198
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Notes An erratum to this publication is available online at 10.1007/978-3-319-69926-4_57
The original version of this chapter has been revised. The title of the paper was incorrect and has been modified. The ORCIDs of the authors Andreas Vogelsang and Tiago Amorim have also been added. For detailed information please see the Erratum. The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-69926-4_57
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StartPage 182
SubjectTerms Embedded systems
Empirical research
Interview study
Model-based
Process improvement
System engineering
Title Should I Stay or Should I Go? On Forces that Drive and Prevent MBSE Adoption in the Embedded Systems Industry
URI http://link.springer.com/10.1007/978-3-319-69926-4_14
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