Prioritization of Best Practices in the Implementation of Model‐Based Systems Engineering

Abstract

Model-based systems engineering (MBSE) is a form of systems engineering that is reported to lead to many benefits; yet few companies have successfully implemented MBSE, partly due to a predominance of guidance for adoption that does not recognize differences in organizational context. This paper uses a combination of a literature review and semi-structured interviews to evaluate the hypothesis that the applicability of best practices varies on a case-by-case basis due to factors such as company size, industry, and location. A list of best practices is compiled from existing works and validated with interviews, ultimately resulting in a more complete and accurate list of best practices, along with a recommendation that each company should uniquely assess their circumstances and prioritize this list of best practices accordingly. The findings presented in this paper provide improved guidance towards the use of best practices for successful MBSE implementation.

Scalable, Flexible Implementation of MBSE and DevOps in VSEs: Design Considerations and a Case Study

“…Both MBSE and DevOps adoption are hot topics for method improvements. Ploeg et al highlights the best practices for implementing MBSE vary by application, and recommend that businesses put together an implementation team for assessment and subsequent adoption (Ploeg et al 2022). Bucena et al proposed a step-by-step method of adopting DevOps practices within an organization and a maturity model for assessing the progression of implementation (Bucena & Kirikova 2017).…”