Model Design Metrics

R2026b

The Model Design Dashboard helps you assess model quality across structure, complexity, requirements traceability, diagnostics, and reuse by collecting and displaying metric results. You can also collect these metrics programmatically by using the metric.Engine API.

Use these tables to explore the model design metrics, view their metric IDs, and access information about each metric.

The model design metrics cover these areas:

To collect available model design metrics programmatically, use the getAvailableMetricIds and execute functions.

metricEngine = metric.Engine;
designMetricIDs = getAvailableMetricIds(metricEngine,App="DashboardApp",Dashboard="ModelUnitDesign");
results = execute(metricEngine,designMetricIDs)

Summary of Design Information

Understand the size, structure, interfaces, and complexity of Simulink^® models, Stateflow^® charts, and MATLAB^® code by using these metrics.

Metric	Metric ID
Simulink Design Information	`sldesignlayer.SimulinkDesignInfo`
Stateflow Design Information	`sfdesignlayer.StateflowDesignInfo`
MATLAB Design Information	`mldesignlayer.MATLABDesignInfo`

Requirement and Link Traceability

Assess requirements traceability, including requirements coverage, requirement links, link status, and link type distribution, by using these metrics.

Metric	Metric ID
Implemented Requirements	`modeldesign.TraceabilityAnalysis[slcomp.ImplementedRequirements]`
Implemented Requirement Details	`modeldesign.TraceabilityAnalysis[slcomp.ImplementedRequirementDetails]`
Requirements Traceability Links	`modeldesign.TraceabilityAnalysis[slcomp.Links]`
Link Details	`modeldesign.TraceabilityAnalysis[slcomp.LinkDetails]`
Built-In Link Type Distribution	`modeldesign.TraceabilityAnalysis[slcomp.BuiltinLinkTypeDistribution]`

To collect all of these traceability analysis metrics, you can use modeldesign.TraceabilityAnalysis[] as the metric ID:

results = execute(metricEngine,"modeldesign.TraceabilityAnalysis[]")

Latest Compile Results

Review compile diagnostics for each unit, including errors, warnings, and the most recent compilation timestamp, by using this metric.

Metric	Metric ID
Compile Diagnostics	`slcomp.CompileDiagnostics`

Code Issues

Identify MATLAB Code Analyzer findings and examine issue counts, severities, and affected code elements by using these metrics.

Metric	Metric ID
MATLAB Code Analyzer Findings per Design Layer	`mldesignlayer.MATLABCodeAnalyzerFindings`
MATLAB Code Analyzer Findings	`modeldesign.ComplianceAnalysis[slcomp.MATLABCodeAnalyzerFindings]`
MATLAB Code Analyzer Findings Details	`modeldesign.ComplianceAnalysis[slcomp.MATLABCodeAnalyzerFindingsDetails]`

Reuse

Assess reuse within your units by identifying referenced models, linked libraries, subsystem references, and related details by using these metrics.

Metric	Metric ID
Design References	`modeldesign.ReuseAnalysis[slcomp.DesignReferences]`
Design Reference Details	`modeldesign.ReuseAnalysis[slcomp.DesignReferenceDetails]`

To collect all of these reuse analysis metrics, you can use modeldesign.ReuseAnalysis[] as the metric ID:

results = execute(metricEngine,"modeldesign.ReuseAnalysis[]")

Clones

Identify duplicate or similar modeling patterns that might be candidates for refactoring and reuse by using this metric.

Metric	Metric ID
Clone Detection	`slcomp.CloneDetectionMetric`