Amorim, TiagoVogelsang, AndreasPudlitz, FlorianGersing, PeterPhilipps, Jan2019-03-042019-03-042019https://depositonce.tu-berlin.de/handle/11303/9113http://dx.doi.org/10.14279/depositonce-8202[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.en004 Datenverarbeitung; Informatikmodel-based systems engineeringprocess adoptionbest practicesembedded systemsempirical researchConference Object