Model-Based Systems Engineering (MBSE) in Practice 2025

Description

MBSE in Practice: Bridging the Gap Between Theory and Success

As software-enabled systems become increasingly complex and interconnected, traditional engineering approaches struggle to keep pace. Model-Based Systems Engineering (MBSE) offers a powerful solution, promising improved communication, enhanced productivity, and higher-quality designs. However, transitioning from theory to successful MBSE adoption presents unique challenges for organizations embracing a digital-first engineering world.

This conference provides practitioners, researchers, and thought leaders a platform to bridge the gap between MBSE theory and its real-world practice. In particular, the conference explores solutions for addressing the organizational challenges of MBSE adoption: improving traditional System Engineering and Enterprise Architecture design quality with MBSE, leveraging MBSE for DoD acquisition and T&E, and applying MBSE for cybersecurity, system analysis, and assurance.

Join us to gain practical insights from seasoned MBSE adopters, discover innovative solutions to common challenges, and shape the future of systems engineering in an increasingly complex world.

List of topics

• Using MBSE in DoD Acquisition, modeling programmatic and security risks

• Using MBSE in Testing and Evaluation

• DoD mission support for enterprise and/or tactical networks with MBSE

• MBSE adoption, lessons learned

• Model governance

• Modeling enterprise/business/reference architecture

• Modeling architectural patterns

• Incorporating MBSE into DevSecOps

• Blending MBSE and Agile Processes

• Anti-patterns in MBSE modeling

• MBSE and Digital Engineering convergence: digital environments, governance

• Gaps in modeling tools and digital environments, languages

• Visualization of model information

• Supporting cybersecurity with MBSE (Zero Trust, cyber threat modeling, cybersecurity architecture and analysis)

• Assuring Cyber-Physical Systems using models (hazard and risk analyses, analyses techniques, model-supported argumentation for certification)