Webinar: The “System as Code” Paradigm in SysML v2 with Juozas Vaicenavicius, Sensmetry CEO
Tom Sawyer Software
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Webinar: The “System as Code” Paradigm in SysML v2 with Juozas Vaicenavicius, Sensmetry CEO
1 118 просмотров · 1 г. назад
Tom Sawyer Software
587 подписчиков
1 118 просмотров · 1 г. назад
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Most engineering fields have embraced automation, yet Systems Engineering remains largely manual, fragmented, and slow. That’s about to change. The “System as Code” paradigm, powered by SysML v2 and advanced tools like Sensmetry’s SysIDE Pro, brings software-like rigor, automation, and scalability to systems engineering.
Join us for this in-depth webinar with Juozas Vaicenavicius, PhD, CEO and Co-Founder of Sensmetry, as we explore how the “System as Code” movement is transforming the way complex cyber-physical systems are designed, validated, and deployed.
What You’ll Learn
The “System as Code” Paradigm – Why SysML v2 and declarative modeling unlock automation and generative engineering.
Transforming Systems Engineering – Integrating hardware and software in unified, code-based workflows.
Practical Applications – Real-world use cases in automotive, space, and safety-critical systems.
Unlocking New Potential – Digital twins, digital threads, AI assistance, CI/CD pipelines, and vendor-free flexibility.
Demo of Sensmetry’s SysIDE – How SysML v2 and next-gen tools accelerate prototyping and verification.
Why “System as Code” Transforms Systems Engineering
The “System as Code” approach provides a rigorous, transparent, and reusable foundation across the system lifecycle. It eliminates manual bottlenecks, enables AI-powered engineering, and helps organizations build smarter, more reliable systems—faster than ever before.
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#SystemAsCode #SysMLv2 #SystemsEngineering #DigitalEngineering #ModelBasedEngineering
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Timestamps
0:00 – Welcome and Introduction
0:11 – Guest Speaker: Juozas Vaicenavicius, PhD (CEO & Co-Founder, Sensmetry)
1:24 – Why Systems Engineering Needs a Paradigm Shift
2:49 – Manual vs. Automated Systems Engineering: Current Challenges
4:23 – Digital Engineering Vision: Digital Twins, Threads, and Models
5:00 – The “System as Code” Paradigm Explained
6:39 – Declarative Modeling for Human + Machine Understanding
9:08 – Benefits: Speed, Automation, Collaboration, Transparency
14:07 – SysML v2 as the Language of “System as Code”
16:21 – SysIDE (Sensmetry) Tool Suite Overview
19:03 – Accelerating Prototyping and Deployment with Automation
24:03 – SysIDE Demo: Modeling, Validation, and Visualization
27:14 – Integrating Tom Sawyer Visualization in SysIDE
28:45 – AI-Assisted Engineering and Generative Models
33:01 – Live Demo: State Machine Simulation (Fridge Example)
36:13 – Formal Verification of Models in Python
38:12 – Real-World Case Study: Satellite Constellation Digital Twin
43:42 – Using SysIDE for Health Monitoring and Diagnostics
45:28 – Where to Learn More: Sensmetry and Tom Sawyer Software