Explore Metric Results, Monitor Progress, and Identify Issues

With Simulink^® Check™, you can view metrics for your Model-Based Design artifacts, assess the current status of a project, and identify and fix non-compliant metric results. You can collect the metric results programmatically or use dashboards to visualize the metric results. You can also save reports for offline review of metric results.

The dashboards and metric results provide an overview of model quality and the project verification status. Use the detailed metric results to identify specific artifacts that are not in compliance with industry standards and guidelines. The dashboard summarizes metric results so you can track progress and identify gaps. As you update, refactor, and fix artifacts, return to the dashboard to monitor your progress towards fixing non-compliant artifacts or gaps in requirements-based testing.

Metric Results in the Dashboards

There are different types of dashboards:

• Metrics Dashboard — To help you assess the status of your model against industry and custom modeling guidelines.

• Model Maintainability Dashboard — To help you assess the size, architecture, and complexity of the models in your project.

• Model Testing Dashboard — To help you assess the model testing artifacts in your project.

• SIL Code Testing and PIL Code Testing Dashboards — To help you assess the code testing artifacts in your project.

The following table shows examples of common dashboard results, the associated dashboard and metrics, and links to related examples.

Dashboard	Dashboard Results	Dashboard and Metric Examples	Guidelines and Standards
Metrics Dashboard	Assess compliance to modeling standards and guidelines.	Use the Metrics Dashboard to visualize the metric results or collect results programmatically with the model metrics. For more information, see: Collect and Explore Metric Data by Using Metrics Dashboard Collect Metric Data Programmatically and View Data Through the Metrics Dashboard	Use the Metrics Dashboard to collect compliance data from checks on modeling guidelines. For more information, see Collect Compliance Data and Explore Results in the Model Advisor. By default, the Modeling Guideline Compliance section of the dashboard shows the results of high-integrity and MAAB Model Advisor checks, but you can customize the Metrics Dashboard to show compliance issues for other groups of checks. For more information, see Customize Metrics Dashboard Layout and Functionality.
	Identify parts of your model that use library content to reuse existing modeling components or parts of your model that you can potentially refactor to reuse modeling components.
	Create custom model metrics and customize how to display metric results in the dashboard.
Model Maintainability Dashboard	View the overall architecture of the Simulink, Stateflow®, and MATLAB® artifacts in your project.	Use the Model Maintainability Dashboard to visualize the metric results or collect results programmatically with the model maintainability metrics. For more information, see: Monitor Design Complexity Using Model Maintainability Dashboard Collect Model Maintainability Metrics Programmatically	Assess Model Size and Complexity for ISO 26262
	Pinpoint areas in the design that have high complexity.
Model Testing Dashboard	Trace the relationships between models, requirements, and tests.	Use the Model Testing Dashboard to visualize the metric results or collect results programmatically with the model testing metrics. For more information, see: Explore Status and Quality of Testing Activities Using Model Testing Dashboard Collect Metrics on Model Testing Artifacts Programmatically	Assess Requirements-Based Testing for ISO 26262
	View the current status of model testing and identify gaps in test results.
	View the overall achieved model coverage and monitor the sources of coverage.
SIL Code Testing and PIL Code Testing Dashboards	View the current status of code testing and identify gaps in test results.	Use the SIL Code Testing and PIL Code Testing dashboards to visualize the metric results or collect results programmatically with the code testing metrics. For more information, see: View Status of Code Testing Activities for Software Units in Project Collect Code Testing Metrics Programmatically	Identify and Troubleshoot Gaps in Code Testing Results and Coverage
	View the overall achieved code coverage and monitor the sources of coverage.
	Identify issues across model and code testing results.