Model-based systems engineering (MBSE) is a systems engineering technique that spotlights on making and abusing space models as the essential methods for data trade between engineers, instead of on archive based data trade.
The focus now also includes aspects related to the model execution in computer simulation experiment.
The objectives of a model include:
- To facilitate understanding
- To aid in decision making, examine the “what if” scenarios
- To explain, control and predict events.
Tonex MBSE Training is meant for a wide cross section of professionals including product managers, systems analysts, software engineers, capability developers, LSA specialists and enterprise architects. The 3-day course covers innumerable topic categories such as:
- What is Systems Engineering?
- SE Practices for Describing Systems
- MBSE Across the System Life Cycle
- Overview of SysML
- Modeling with SysML
- Working with MBSE domains
An MBSE approach with SysML helps to:
- Facilitate communication among various stakeholders across the System Development Life Cycle.
- Capture and manage corporate Intellectual Property related to system architectures, designs and processes.
- Furnish rich abstractions to manage size and complexity.
- Explore multiple solutions or ideas concurrently with minimal risk.
- Detect errors and omissions early in System Development Life Cycle.
Model-Based Systems Engineering (MBSE) strives to emphasize a system architecture model as the primary work artifact throughout the System Development Life Cycle (SDLC).
The MBSE process also should support all SDLC phases, Requirements, System Analysis, System Design, Implementation, System Integration and Testing.
The MBSE process also must support full SDLC requirements traceability, including comprehensive Verification & Validation of all functional and non-functional requirements.
Clearly, as a diagramming tool and one meant for the understanding of complex processes, MBSE is a substantial engine for growth as it is endlessly adaptable to human needs and technological trends.
But in practice, adapting lofty MBSE principles to the real world is challenging and requires guidance.
Learn more about MBSE Training Classes
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