Joe Justice: Conway’s Law, Modules, and Experiments (Part 2)
In this interview, Joe Justice explains the importance of the module and a low-risk way to try out Extreme Hardware (Part 2)
Product Velocity is a new approach that enables companies to learn faster, make decisions more quickly, and deliver results.
Agility Requirements Attack security Architecture Automotive Barcamp Digital transformation Eclipse GfSE Hardware Innovation Integration Communication Complexity Conferences Artificial intelligence MBSE Modeling Traceability Openness PLM Product development Processes Quality ReConf Interface Semiant Security Software SpaceX Standards SysML SysML v2 Systems thinking Systems Engineering TdSE Tim Weilkiens Traceability Transformation Trends UML Video Christmas Further training Tools

In this interview, Joe Justice explains the importance of the module and a low-risk way to try out Extreme Hardware (Part 2)

It's not the engineers who make the difference between slow and fast companies—the process model is the bottleneck!

UAF positions itself as a model-based approach for Enterprise Architecture, System-of-Systems, and Mission Engineering.

Problems must be understood before solutions to avoid unnecessary complexity and find the optimal solution.

The workshop of the GfSE Agile Systems Engineering working group focused on SEBRAS, Stripes and spreading good ideas.

There is now also an Expansion Pack for the Scrum Guide, which is relevant for Systems Engineering and Product Velocity.

Architecture is often perceived as a technical discipline, but it is also an important economic control element.

The four principles of product development are the basis for Product Velocity and are not only relevant for systems engineers.

Case studies are essential to understand how Product Velocity works in practice. This library will grow over time.

Architecture decisions have a direct influence on product velocity and can noticeably accelerate development.

Inheritance hierarchy SysML v2 has many surprises in store, understanding it and its relationship to KerML helps with modeling.

Selecting the right architecture is an important task in systems engineering, which simulation can partially automate.
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