cv.cvdatagroup - Collection of cvdata objects - MATLAB (original) (raw)

cv.cvdatagroup Class

Namespace: cv

Collection of cvdata objects

Description

Objects of the cv.cvdatagroup class contain one or more cvdata objects. Each cvdata object contains coverage results for a model in the model hierarchy. A cv.cvdatagroup cannot contain multiplecvdata objects that have the same model name, simulation mode, and release.

Simulink® Coverage™ creates a cv.cvdatagroup object when you simulate a model containing model references when coverage is enabled, or if your model uses external code files and you selected external files for coverage analysis. Use theget and getAll class methods to retrieve coverage data for specific models in your model reference hierarchy. Use theallNames method to retrieve the cvdata object names to use with the get class method.

The cv.cvdatagroup class is a handle class.

Creation

Description

`cvdg` = cv.cvdatagroup([cvdo](#mw%5F440622aa-6cf6-440f-ace4-959cf4e95d2c)1,[cvdo](#mw%5F440622aa-6cf6-440f-ace4-959cf4e95d2c)2,...) creates a cvdatagroup object that contains the specifiedcvdata objects.

Note

If you create a cv.cvdatagroup object by using multiplecvdata objects that have the same model name, simulation mode, and release, the resulting cv.cvdatagroup object contains only the last matching cvdata object, and Simulink Coverage issues a warning.

example

Input Arguments

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Coverage data, specified as one or more cvdata objects.

Data Types: cvdata

Properties

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Object name, specified as a character array.

Example: cvdg.name = 'myDataGroup';

Attributes:

Data Types: char

Methods

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These methods specialize standard MATLAB® operators and functions for objects in this class.

Examples

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This example shows how to retrieve a specified coverage data object, all coverage data objects, or all coverage data object names from a cv.cvdatagroup object.

Load the example model.

modelName = 'slvnvdemo_eml_model_coverage_demo'; load_system(modelName);

Use the Simulink.SimulationInput class to set up the simulation scenario with coverage enabled.

simIn = Simulink.SimulationInput(modelName); simIn = setModelParameter(simIn,'CovEnable','on'); simIn = setModelParameter(simIn,'CovMetricStructuralLevel','MCDC'); simIn = setModelParameter(simIn,'CovSaveSingleToWorkspaceVar','on'); simIn = setModelParameter(simIn,'CovSaveName','covData'); simIn = setModelParameter(simIn,'CovSaveOutputData','off');

Simulate the model by passing the SimulationInput object to the sim function, and then retrieve the coverage data from the SimulationOutput object.

simOut = sim(simIn); covData = simOut.covData

covData = ... cv.cvdatagroup

slcoverageExternalFile (simulation mode: Normal) slvnvdemo_eml_model_coverage_demo (simulation mode: Normal)

The example model contains a MATLAB® Function block that calls an external MATLAB function. Because Simulink Coverage returns the coverage data for the MATLAB function in a separate cvdata object, sim returns a cv.cvdatagroup object that contains the coverage results for both the model and the MATLAB function.

To determine the name associated with each cvdata object inside the cv.cvdatagroup, use the class method allNames.

covDataNames = allNames(covData)

covDataNames =

2×1 cell array

{'slcoverageExternalFile'           }
{'slvnvdemo_eml_model_coverage_demo'}

The cv.cvdatagroup contains the coverage results for the model as well as the MATLAB function.

To retrieve the coverage data for the model, use the get class method.

modelCovData = get(covData,modelName)

modelCovData = ... cvdata version: (R2025a) id: 882 type: TEST_DATA test: cvtest object rootID: 884 checksum: [1x1 struct] modelinfo: [1x1 struct] startTime: 01-Feb-2025 15:48:16 stopTime: 01-Feb-2025 15:48:16 intervalStartTime: intervalStopTime: simulationStartTime: 0 simulationStopTime: 1 filter: simMode: Normal

To retrieve coverage data for both the model and the external file, use the getAll class method.

covDataArray = getAll(covData)

covDataArray =

2×1 cell array

{1×1 cvdata}
{1×1 cvdata}

This example shows how to create a cvdatagroup object using two cvdata objects.

Record coverage for slvnvdemo_cv_small_controller.

model_1 = 'slvnvdemo_cv_small_controller'; load_system(model_1) cvdo1 = cvsim(model_1);

Record coverage for slvnvdemo_powerwindow_controller.

model_2 = 'slvnvdemo_powerwindow_controller'; load_system(model_2) cvdo2 = cvsim(model_2);

Create a cv.cvdatagroup object that contains two cvdata objects.

cvdg = cv.cvdatagroup(cvdo1,cvdo2);

This example shows how to use the + operator to merge cv.cvdatagroup objects.

Load the model.

modelName = "slcovDataGroup"; load_system(modelName);

Prepare the model for coverage analysis by creating a Simulink.SimulationInput object. Then, make the coverage data accessible in the MATLAB® workspace by setting the CovSaveSingleToWorkspaceVar parameter to on.

simIn = Simulink.SimulationInput(modelName); simIn = setModelParameter(... simIn,"CovSaveSingleToWorkspaceVar","on");

The model requires four variables set in the MATLAB workspace. For the first run:

a = 1; b = 0; c = 1; d = 0;

Simulate the model and assign the coverage data to a variable named covData1. Because the slcovDataGroup model calls an external MATLAB function, Simulink® Coverage™ returns the coverage results in a cv.cvdatagroup object. One cvdata object contains the coverage results for the model, and the other contains coverage results for the external MATLAB file.

simOut1 = sim(simIn); covData1 = simOut1.covdata; class(covData1)

Check the decision coverage for the external MATLAB function slcoverageExternalFile by using decisioninfo.

[decCov1,decInfo] = decisioninfo(covData1,"slcoverageExternalFile")

decCov1 =

 2     3

decInfo =

struct with fields:

       isFiltered: 0
justifiedCoverage: 0
      isJustified: 0
  filterRationale: ''
         decision: [1×2 struct]

In the external MATLAB file, the false case of the if statement does not execute and is missing decision coverage. You can verify that this is true by using the optional description output of decisioninfo. For example, the second decision represents the if statement.

ans =

struct with fields:

           text: 'if (z)'
filterRationale: ''
     isFiltered: 0
    isJustified: 0
        outcome: [1×2 struct]

And the first outcome of that decision represents the false case, which has an execution count of zero.

decInfo.decision(2).outcome(1)

ans =

struct with fields:

           text: 'false'
 executionCount: 0
     executedIn: []
     isFiltered: 0
    isJustified: 0
filterRationale: ''

In order to satisfy this decision, change the variable c to zero and run the coverage analysis a second time.

c = 0; simOut2 = sim(simIn); covData2 = simOut2.covdata;

Use the + operator to aggregate the coverage for the two runs. Then check the decision coverage again.

covDataTot = covData1 + covData2; decCovTot = decisioninfo(covDataTot,"slcoverageExternalFile")

In the aggregated cv.cvdatagroup object, the external MATLAB file slcoverageExternalFile now has 100% decision coverage.

Version History

Introduced in R2007b