Collect Model and Testing Metrics
Assess the quality and compliance of your models by using:
Model metrics to check your model and determine if it complies with industry and custom modeling guidelines.
Model design metrics to analyze the size, architecture, and complexity of the MATLAB®, Simulink®, and Stateflow® artifacts in your project.
Model and code testing metrics to assess the traceability and completeness of the models, requirements, tests, and test results in your project.
Use the dashboards associated with the metrics to visualize the metric data. As you develop and test your models, use the dashboards to monitor your progress and address compliance issues. For more information, see Explore Metric Results, Monitor Progress, and Identify Issues.
Categories
- Model Metrics
Collect model compliance metric data and create custom model metrics
- Model Design Metrics
Collect metrics for the size, architecture, and complexity of models and other design artifacts
- Model and Code Testing Metrics
Collect metrics for model testing, including requirements-based testing, and code testing
Featured Examples
Monitor Design Complexity Using Model Maintainability Dashboard
Assess the size, complexity, and architecture of your design.
Summarize Status of Model Testing for Project
Verify requirements traceability and model test coverage across the models in your project by using the Project Model Testing dashboard.
Explore Status and Quality of Testing Activities Using Model Testing Dashboard
Evaluate the status and quality of model testing in your project.
Identify and Troubleshoot Gaps in Code Testing Results and Coverage
Use the code testing dashboards to assess and address code testing issues.
