Create a function-based test file named sampleTest.m in your current folder. The file contains two tests that pass and one test that intentionally fails.

function tests = sampleTest
tests = functiontests(localfunctions);
end

function testA(testCase)
verifyEqual(testCase,2+3,5)
end

function testB(testCase)
verifyLessThan(testCase,-1.1,-1.2)
end

function testC(testCase)
verifySubstring(testCase,"Hello World!","llo")
end

Open the test browser.

testBrowser

Add the tests in the sampleTest.m file to the test browser. To add the tests, click the Add tests button on the toolbar and then select the test file. The test browser creates a test suite and displays the test names in a test tree.

Run the tests by clicking the Run current suite button on the toolbar. Two tests pass and one test fails due to a verification failure. If you click the node of testB in the test tree, the Test Diagnostics Viewer section at the bottom of the Test Browser panel displays the diagnostic information.

Click the line-number link provided for testB in the test tree or the hyperlinked path in the Test Diagnostics Viewer section to view the code that resulted in the failure. To debug the test failure, set a breakpoint on the highlighted line of code by clicking its line number. Then, run testB by right-clicking its node in the test tree and selecting Run Test. MATLAB enters debug mode and enables debugging capabilities that you can use to investigate the cause of the test failure.

If you rerun the failed test in the Command Window with an appropriate actual value, the test passes.

Running sampleTest
10  verifyLessThan(testCase,-1.1,-1.2)
K>> verifyLessThan(testCase,-1.3,-1.2)
K>>

Exit debug mode and clear the breakpoint. Update the actual value in the test file, and save the file. Run the tests again by clicking the Run current suite button . All the tests pass.

In a file named cleanData.m in your current folder, create the cleanData function. The function accepts a numeric array and returns a cleaned and sorted version of the array. It vectorizes the array, removes the NaN, 0, and Inf entries, and finally sorts the vector.

function y = cleanData(X)
    y = X(:);         % Vectorize the array
    y = rmmissing(y); % Remove NaN entries
    % Remove 0 and Inf entries
    idx = (y == 0 | y == Inf);
    y = y(~idx);
    % If the vector is empty, set it to eps
    if isempty(y)
        y = eps;
    end
    y = sort(y);      % Sort the vector
end

To test the cleanData function, create the parameterized CleanDataTest test class in a file named CleanDataTest.m in your current folder.

classdef CleanDataTest < matlab.unittest.TestCase
    properties (TestParameter)
        data = struct("empty",[],"scalar",0, ...
            "vector",[13 NaN 0],"matrix",[NaN 2 0; 1 Inf 3]);
    end

    methods (Test)
        function sortTest(testCase,data)
            actual = cleanData(data);
            testCase.verifyTrue(issorted(actual))
        end
        function nonemptyTest(testCase,data)
            actual = cleanData(data);
            testCase.verifyNotEmpty(actual)
        end
    end
end

Open the test browser.

testBrowser

Add the tests in CleanDataTest to the test browser. To add the tests, click the Add tests button on the toolbar and then select the CleanDataTest.m file. The test browser creates a test suite and displays the test names in a test tree. Each name includes the filename, procedure name, and information about parameterization.

Run the tests that use the "matrix" parameter name. To run the tests, first select the two tests by pressing the Ctrl key while making selections with the mouse. Then, right-click one of the selected nodes and select Run Tests. In this example, both the tests pass.

To run the remaining tests, click the Not Run button on the toolbar. Then, click the Run current suite button . All the tests pass.

In a file named TestRand.m in your current folder, create the parameterized TestRand class. The class results in 175 tests.

classdef TestRand < matlab.unittest.TestCase    
    properties (TestParameter)
        dim1 = createDimensionSizes;
        dim2 = createDimensionSizes;
        dim3 = createDimensionSizes;
        type = {'single','double'};
    end
    
    methods (Test)
        function testRepeatable(testCase,dim1,dim2,dim3)
            state = rng;
            firstRun = rand(dim1,dim2,dim3);
            rng(state)
            secondRun = rand(dim1,dim2,dim3);
            testCase.verifyEqual(firstRun,secondRun)
        end
        function testClass(testCase,dim1,dim2,type)
            testCase.verifyClass(rand(dim1,dim2,type),type)
        end
    end
end
 
function sizes = createDimensionSizes
% Create logarithmically spaced sizes up to 100
sizes = num2cell(round(logspace(0,2,5)));
end

Open the test browser.

testBrowser

Add the tests in the TestRand class to the test browser. To add the tests, click the Add tests button on the toolbar and then select the TestRand.m file. The test browser creates a test suite and displays the test names in a test tree.

To run the tests in parallel, first click the Enable parallel test execution button on the toolbar. Then, click the Run current suite button . The test browser divides the test suite into groups and runs the groups on the available workers. You can see information about the groups in the Command Window. The test browser might vary the order and number of groups or which tests it includes in each group.

Split tests into 18 groups and running them on 6 workers.
----------------
Finished Group 1
----------------
Running TestRand
.......... ..
Done TestRand
__________


----------------
Finished Group 3
----------------
Running TestRand
.......... .
Done TestRand
__________


----------------
Finished Group 2
----------------
Running TestRand
.......... ..
Done TestRand
__________


----------------
Finished Group 5
----------------
Running TestRand
.......... .
Done TestRand
__________


----------------
Finished Group 4
----------------
Running TestRand
.......... .
Done TestRand
__________


----------------
Finished Group 6
----------------
Running TestRand
.......... .
Done TestRand
__________


----------------
Finished Group 7
----------------
Running TestRand
..........
Done TestRand
__________


----------------
Finished Group 9
----------------
Running TestRand
..........
Done TestRand
__________


----------------
Finished Group 8
----------------
Running TestRand
..........
Done TestRand
__________


-----------------
Finished Group 11
-----------------
Running TestRand
.........
Done TestRand
__________


-----------------
Finished Group 10
-----------------
Running TestRand
..........
Done TestRand
__________


-----------------
Finished Group 12
-----------------
Running TestRand
.........
Done TestRand
__________


-----------------
Finished Group 13
-----------------
Running TestRand
.........
Done TestRand
__________


-----------------
Finished Group 15
-----------------
Running TestRand
........
Done TestRand
__________


-----------------
Finished Group 14
-----------------
Running TestRand
.........
Done TestRand
__________


-----------------
Finished Group 16
-----------------
Running TestRand
........
Done TestRand
__________


-----------------
Finished Group 17
-----------------
Running TestRand
........
Done TestRand
__________


-----------------
Finished Group 18
-----------------
Running TestRand
.......
Done TestRand
__________

In a file named cleanData.m in your current folder, create the cleanData function. The function accepts a numeric array and returns a cleaned and sorted version of the array. It vectorizes the array, removes the NaN, 0, and Inf entries, and finally sorts the vector.

function y = cleanData(X)
    y = X(:);         % Vectorize the array
    y = rmmissing(y); % Remove NaN entries
    % Remove 0 and Inf entries
    idx = (y == 0 | y == Inf);
    y = y(~idx);
    % If the vector is empty, set it to eps
    if isempty(y)
        y = eps;
    end
    y = sort(y);      % Sort the vector
end

To test the cleanData function, create the parameterized CleanDataTest test class in a file named CleanDataTest.m in your current folder.

classdef CleanDataTest < matlab.unittest.TestCase
    properties (TestParameter)
        data = struct("empty",[],"scalar",0, ...
            "vector",[13 NaN 0],"matrix",[NaN 2 0; 1 Inf 3]);
    end

    methods (Test)
        function sortTest(testCase,data)
            actual = cleanData(data);
            testCase.verifyTrue(issorted(actual))
        end
        function nonemptyTest(testCase,data)
            actual = cleanData(data);
            testCase.verifyNotEmpty(actual)
        end
    end
end

Open the test browser.

testBrowser

Add the tests in CleanDataTest to the test browser. To add the tests, click the Add tests button on the toolbar, and then select the CleanDataTest.m file. The test browser creates a test suite and displays the test names in a test tree.

To generate a code coverage report for your source code in cleanData.m:

Run the tests by clicking the Run current suite button on the toolbar. The test browser runs the tests, generates an HTML code coverage report, and opens it after the test run. In this example, all the tests pass and the source code receives full function and statement coverage.