Simulink Check

Checks for industry standards in Model Advisor showing results of those run: passed, failed, warning, and justified.

Check Compliance with Industry Standards

Use preconfigured checks for industry standards such as ISO 26262, DO-178C, DO-331, DO-254, IEC 61508, ISO 25119, IEC 62304, EN 50128, MISRA C:2012, MathWorks Advisory Board (MAB) guidelines, JMAAB, CERT C, CWE, and ISO/IEC TS 17961.

A folder structure with custom selected checks that generates a warning if an incorrect icon shape is used for a logical operator.

Customize Model Checks

Configure, customize, and automate custom Model Advisor checks to ensure that models comply with your organization’s own standards and guidelines.

Find and Fix Errors as You Go

Use edit-time checking to identify errors and address them as they are introduced to avoid rework later. Create custom edit-time checks for Simulink, System Composer, or Stateflow to meet your organization’s own standards.

A MATLAB Project and your process model are input to the build system for analysis, which then generates a list of pipeline tasks that were successfully run in the pipeline

CI/CD Automation for Model-Based Design

Simplify adoption and optimize Continuous Integration/Continuous Delivery (CI/CD) workflows for Simulink with the CI/CD Automation for Simulink Check Support Package. You can define your CI/CD pipeline, prequalify on your desktop to avoid build failures, integrate with CI Systems such as Jenkins® or GitLab® and execute incremental builds to reduce build time.

 The Model Testing Dashboard with an artifact panel showing a tree of models, requirements, and tests.

Track Requirements-Based Testing

Monitor the status and quality of unit testing artifacts to assess the completeness of your requirements-based testing and comply with ISO 26262 and DO-178C standards. Assess the status and quality of your code testing for software-in-the-loop (SIL) and processor-in-the-loop (PIL) tests by using the metric results in the SIL Code Testing Dashboard and PIL Code Testing Dashboard.

Measure Quality, Complexity and Maintainability

Assess your model’s size, architecture, and complexity with model metrics to help improve the readability, maintainability and reusability of your  MATLAB, Simulink, and Stateflow artifacts in your project. Dashboards consolidate the metrics to help you monitor your progress towards compliance to standards such as ISO 26262, DO-178C, IEC 61508, IEC 62304, EN 50128, and other standards. 

Model Advisor showing a check for model font settings selected.

Automate Model Reviews and Reporting

Generate Model Advisor reports for reviews. Justify violations to suppress warnings and errors. Run checks on multiple machines in parallel to accelerate compliance verification with Parallel Computing Toolbox.

A Simulink model with highlights on those signals and blocks that affect a specific signal output.

Simplify and Debug Complex Models

Use Model Slicer to highlight functional dependencies through a combination of static and dynamic analysis based on active behavior during simulation. Debug errors such as baseline test or equivalence test failures, property proving counterexamples, or integer overflows.

Duplicate patterns in a model are highlighted as clone groups and a bar graph shows a summary.

Identify and Refactor Modeling Clones Across Models

Analyze models to locate clones and duplicate modeling patterns. Automatically refactor to improve maintainability, increase reuse, and reduce design complexity. Detect inefficient patterns and refactor them for increased code efficiency.

“We use our system design model in Simulink for ARP4754 to establish stable, objective requirements. We save time by using the model as the basis for our software design model for DO-178—from which we generate flight code—and reusing validation tests for software verification.”