Model Validation and Metrics in MagicDraw
Ensure model quality using validation rules and metrics. Detect issues early and maintain consistency across models.
Duration
1 Day
Format
Direct
Level
Features
Overview
About This Course
Advanced one-day course on using MagicDraw's validation tools and metrics to ensure model quality, consistency, and compliance with engineering standards.
Required Software
No Magic's MagicDraw (v19.0+) or equivalent No Magic (CSM) or Dassault Systèmes CATIA Magic / Magic Systems Modeler (MSM) — with SysML plug-in
Take-Aways
Foundational understanding of capabilities and best practices for model validation and model metrics.
Prerequisites
Applying SysML with MagicDraw
Model Validation and Metrics in MagicDraw
Advanced course on MagicDraw validation tools and metrics for model quality, consistency, and standards compliance.
- Level: Feature
- Duration: 1 Day
- Format: Direct
Course Curriculum
DAY 1 - Validation & Metrics in MagicDraw
Course introduction
Introduction to model validation:
• validation suites and rules
• predefined validation suites
• SAIC DE profile
• running validation
Developing custom validation suites: operations (definition and usage), simple/metachain navigation, metachain helper functions
Introduction to model metrics:
• metric suites
• definition
• parameter definition
• validation-based metrics
• metric tables
• best practices
Predefined SysML metric suites:
• Treat Owner as Grouping
• Treat Owner as Requirement
• creating metric tables
Developing custom metric suites:
• profile diagram
• general process
• accessing other metric and parameter definitions
Outcomes
DAY 1 - Validation & Metrics in MagicDraw
Validate model quality and consistency with custom validation suites and quantify model state with bespoke metrics.