Strategies and Best Practices for Model-based Systems Engineering Adoption in Embedded Systems Industry
dc.contributor.author | Amorim, Tiago | |
dc.contributor.author | Vogelsang, Andreas | |
dc.contributor.author | Pudlitz, Florian | |
dc.contributor.author | Gersing, Peter | |
dc.contributor.author | Philipps, Jan | |
dc.date.accessioned | 2019-03-04T09:50:38Z | |
dc.date.available | 2019-03-04T09:50:38Z | |
dc.date.issued | 2019 | |
dc.description.abstract | [Context] Model-based Systems Engineering (MBSE) advocates the integrated use of models throughout all development phases of a system development life-cycle. It is also often suggested as a solution to cope with the challenges of engineering complex systems. However, MBSE adoption is no trivial task and companies, especially large ones, struggle to achieve it in a timely and effective way. [Goal] We aim to discover what are the best practices and strategies to implement MBSE in companies that develop embedded software systems. [Method] Using an inductive-deductive research approach, we conducted 14 semi-structured interviews with experts from 10 companies. Further, we analyzed the data and drew some conclusions which were validated by an on-line questionnaire in a triangulation fashion. [Results] Our findings are summarized in an empirically validated list of 18 best practices for MBSE adoption and through a prioritized list of the 5 most important best practices. [Conclusions] Raising engineers’ awareness regarding MBSE advantages and acquiring experience through small projects are considered the most important practices to increase the success of MBSE adoption. | en |
dc.description.sponsorship | BMBF, 01IS15058, Verbundprojekt SPEDiT: Software Platform Embedded Systems - Dissemination und Transfer | en |
dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/9113 | |
dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-8202 | |
dc.language.iso | en | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject.ddc | 004 Datenverarbeitung; Informatik | en |
dc.subject.other | model-based systems engineering | en |
dc.subject.other | process adoption | en |
dc.subject.other | best practices | en |
dc.subject.other | embedded systems | en |
dc.subject.other | empirical research | en |
dc.title | Strategies and Best Practices for Model-based Systems Engineering Adoption in Embedded Systems Industry | en |
dc.type | Conference Object | en |
dc.type.version | acceptedVersion | en |
dcterms.bibliographicCitation.originalpublishername | Institute of Electrical and Electronics Engineers (IEEE) | en |
dcterms.bibliographicCitation.originalpublisherplace | New York, NY | en |
dcterms.bibliographicCitation.proceedingstitle | 2019 ACM/IEEE 41st International Conference on Software Engineering | en |
tub.accessrights.dnb | free | en |
tub.affiliation | Fak. 4 Elektrotechnik und Informatik::Inst. Telekommunikationssysteme::FG IT-basierte Fahrzeuginnovationen | de |
tub.affiliation.faculty | Fak. 4 Elektrotechnik und Informatik | de |
tub.affiliation.group | FG IT-basierte Fahrzeuginnovationen | de |
tub.affiliation.institute | Inst. Telekommunikationssysteme | de |
tub.publisher.universityorinstitution | Technische Universität Berlin | en |