slmetric.config.ThresholdConfiguration Class

Namespace: slmetric.config

(To be removed) Specify metric and slmetric.metric.Result property for thresholding

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The Metrics Dashboard user interface, metricdashboard function, slmetric package API, and corresponding customizations will be removed in a future release. For more information, see Migrating from Metrics Dashboard to Model Maintainability Dashboard.

Description

Instances of slmetric.config.ThresholdConfiguration contain thresholds that you specify for a metric. Each threshold specification corresponds to an slmetric.config.Threshold object. An slmetric.config.ThresholdConfiguration object can hold multiple slmetric.config.Threshold objects.

Construction

For an slmetric.config.Configuration object, use the getThresholdConfigurations method to access an slmetric.config.ThresholdConfiguration object.

Methods

addThreshold(To be removed) Create slmetric.config.Threshold object
getThresholds(To be removed) Obtain properties of threshold objects
removeThreshold(To be removed) Remove threshold object from threshold configuration object

Examples

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Use the slmetric.config packaged classes to add threshold information to the Metrics Dashboard. You can add thresholds that define metric data ranges for these three categories:

  • Compliant — Metric data that is an acceptable range.

  • Warning — Metric data that requires review.

  • Noncompliant — Metric data that requires you to modify your model.

Create an slmetric.config.Configuration object.

CONF = slmetric.config.Configuration.new('name', 'Config');

Get the default slmetric.config.ThresholdConfiguration object in CONF.

TC = getThresholdConfigurations(CONF);

Add an slmetric.config.Threshold object to the slmetric.config.ThresholdConfiguration object. This threshold is for the mathworks.metrics.SimulinkBlockCount metric and the Value property of the slmetric.metric.Results object.

T = addThreshold(TC, 'mathworks.metrics.SimulinkBlockCount', 'Value');

An slmetric.config.Threshold object contains a default slmetric.config.Classification object that corresponds to the Compliant category. Use the slmetric.metric.MetricRange class to specify metric values for the Compliant metric range.

C = getClassifications(T); % default classification is Compliant
C.Range.Start = 5;
C.Range.IncludeStart = 0;
C.Range.End = 100;
C.Range.IncludeEnd = 0;

These values specify that a compliant range is a block count from 5 to 100. This range does not include the values 5 and 100.

Specify values for the Warning metric range.

C = addClassification(T,'Warning');
C.Range.Start = -inf;
C.Range.IncludeStart = 0;
C.Range.End = 5;
C.Range.IncludeEnd = 1

These values specify that a warning is a block count between -inf and 5. This range does not include -inf. It does include 5.

Specify values for the NonCompliant metric range.

C = addClassification(T,'NonCompliant');
C.Range.Start = 100;
C.Range.IncludeStart = 1;
C.Range.End = inf;
C.Range.IncludeEnd = 0;

These values specify that a block count greater than 100 is noncompliant. This range includes 100. It does not include inf.

Use the slmetric.config.validate function to validate the metric ranges corresponding to the thresholds in the slmetric.config.ThresholdConfiguration object.

validate(T)

If the ranges are not valid, you get an error message. In this example, the ranges are valid.

Save the changes to the configuration file. Use the slmetric.config.setActiveConfiguration function to activate this configuration for the metric engine to use.

configName = 'Config.xml';
save(CONF,'FileName', configName);
slmetric.config.setActiveConfiguration(fullfile(pwd, configName));

You can now run the Metrics Dashboard with this custom configuration on a model.

Version History

Introduced in R2018b

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See Also

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