Model-based engineering in the embedded systems domain: an industrial survey on the state-of-practice
Artikel i vetenskaplig tidskrift, 2018

Model-based engineering (MBE) aims at increasing the effectiveness of engineering by using models as important artifacts in the development process. While empirical studies on the use and the effects of MBE in industry exist, only few of them target the embedded systems domain. We contribute to the body of knowledge with an empirical study on the use and the assessment of MBE in that particular domain. The goal of this study is to assess the current state-of-practice and the challenges the embedded systems domain is facing due to shortcomings with MBE. We collected quantitative data from 113 subjects, mostly professionals working with MBE, using an online survey. The collected data spans different aspects of MBE, such as the used modeling languages, tools, notations, effects of MBE introduction, or shortcomings of MBE. Our main findings are that MBE is used by a majority of all participants in the embedded systems domain, mainly for simulation, code generation, and documentation. Reported positive effects of MBE are higher quality and improved reusability. Main shortcomings are interoperability difficulties between MBE tools, high training effort for developers and usability issues. Our study offers valuable insights into the current industrial practice and can guide future research in the fields of systems modeling and embedded systems.

Modeling

Model-based engineering

Embedded Systems

Industry

Model-driven engineering

State-of-practice

Empirical study

Författare

Grischa Liebel

Chalmers, Data- och informationsteknik, Software Engineering

Nadja Marko

Virtual Vehicle Research Center

Matthias Tichy

Universität Ulm

Andrea Leitner

Virtual Vehicle Research Center

Jörgen Hansson

Högskolan i Skövde

Software and Systems Modeling

1619-1366 (ISSN) 1619-1374 (eISSN)

Vol. 17 1 91-113

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Data- och informationsvetenskap

DOI

10.1007/s10270-016-0523-3