slcoverage.BlockSelector - Select blocks for coverage filter - MATLAB (original) (raw)

Namespace: slcoverage

Select blocks for coverage filter

Description

Specify block selection criteria for a filter rule.

The slcoverage.BlockSelector class is a handle class.

Creation

Description

`sel` = slcoverage.BlockSelector([type](#mw%5F3df3a844-162b-42f6-9a4d-dad1fe095538),[element](#d126e24698)) specifies the type of model elements to create the filter rule for and returns an slcoverage.BlockSelector object.

example

Input Arguments

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Type of model element to select, specified as one of these values:

Example: slcoverage.BlockSelectorType.Transition

Model element to select, specified as a property name of the element, its handle, or its Simulink identifier. Use a handle or ID for selector types that select an instance. Use a property name, such as the value of a block's 'BlockType' property, to select multiple model elements.

Example: 'slcoverage_lct_bus:18','RelationalOperator'

Attributes:

Data Types: char | string | handle | integer

Properties

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Code used to create this selector object, returned as a character vector.

Attributes:

GetAccess public
SetAccess protected

Description of the selector, returned as a character vector. Simulink Coverage™ creates the description based on the selector.

Attributes:

GetAccess public
SetAccess protected

Model element identifier, specified as the property name of the element, the handle to an element, or the Simulink identifier of the element. Use a handle or ID for selector types that select an instance. Use a property name, such as the value of the'BlockType' property of a block, to select multiple model elements.

Attributes

Data Types: char | string | handle | integer

Selector type, returned as one of theseslcoverage.BlockSelectorType values:

Attributes:

GetAccess public
SetAccess protected

Methods

Examples

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Select multiple blocks to add a rule for and an instance of a block to add a rule for. The resulting filter has two rules. You can simulate your model for code coverage using the filter to see the effect.

Open the model. Specify coverage settings and turn on coverage recording.

modelName = 'slcoverage_lct_bus'; open_system(modelName); set_param(modelName,'CovMetricStructuralLevel','MCDC','RecordCoverage','on');

Select blocks that have the same block type as the upper GE input block to add a filter rule for.

type = get_param('slcoverage_lct_bus/slCounter/upper GE input','BlockType'); bl = slcoverage.BlockSelector(slcoverage.BlockSelectorType.BlockType,type);

Create a filter object, create a rule based on the selector, and add the rule to the filter.

filt = slcoverage.Filter; rule = slcoverage.FilterRule(bl,'Tested elsewhere',slcoverage.FilterMode.Exclude); filt.addRule(rule);

Select a block instance and add a rule for the block instance to the filter. This rule uses the default filter mode ofJustify.

id = Simulink.ID.getSID('slcoverage_lct_bus/slCounter/And'); bl = slcoverage.BlockSelector(slcoverage.BlockSelectorType.BlockInstance,id); rule = slcoverage.FilterRule(bl,'Edge case'); filt.addRule(rule);

Save the filter as blfilter. Simulate the model for code coverage. Add the filter file as the value to thefilter property of the resultingcvdata object. Then generate the coverage report.

filt.save('blfilter'); csim = cvsim(modelName); csim.filter = 'blfilter'; cvhtml('cov',csim);

Examine the HTML report to see information about the blocks that you added rules for.

This example shows how to get a selector for a MATLAB® function using the slcoverage.BlockSelector class.

The example model slvnvdemo_eml_model_coverage_demo contains a series of MATLAB function blocks. One of the MATLAB function blocks calls an external function called slcoverageExternalFile.m.

Start by loading the model and generating coverage results.

modelName = 'slvnvdemo_eml_model_coverage_demo'; load_system(modelName) covData = cvsim(modelName);

Since the model uses an external function, the coverage results are returned in a cv.cvdatagroup object. Use the cv.cvdatagroup.get class method to extract the cvdata object that contains the results for the slcoverageExternalFile function.

functionCov = get(covData,'slcoverageExternalFile');

To exclude the entire function from the coverage report, use an exclusion filter. First, use the slcoverage.BlockSelector class to create a selector for the external MATLAB function slcoverageExternalFile.m. The correct BlockSelectorType enumeration to use for this is BlockInstance.

sel = slcoverage.BlockSelector(... slcoverage.BlockSelectorType.BlockInstance,... 'slcoverageExternalFile.m');

Create an empty slcoverage.Filter object.

filt = slcoverage.Filter;

Create the exclusion filter rule using the slcoverage.FilterRule class. Use the selector you created, the rationale for filtering the function, and the filter type of slcoverage.FilterMode.Exclude.

rule = slcoverage.FilterRule(sel,'Exclude function demo',... slcoverage.FilterMode.Exclude);

Add the filter rule to the filter object, name the filter, and save it to a file.

addRule(filt,rule); setFilterName(filt,'mfileFilter'); setFilterDescription(filt,'Demo exclusion filter for external m-file'); save(filt,'externalFileFilter')

Apply the filter file to the cvdata object which contains coverage results for the function slcoverageExternalFile.m.

functionCov.filter = 'externalFileFilter';

Create the coverage report and observe that the function slcoverageExternalFile now has no coverage data reported in the summary, and if you click on the function name to open the function report, you see slcoverageExternalFile listed under Objects Filtered from Coverage Analysis.

cvhtml('covReport',covData);

Version History

Introduced in R2017b