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matlab.coverage.Result Class

Namespace: matlab.coverage

Result of code coverage analysis

Since R2023a

Description

An object of the matlab.coverage.Result class provides the result of code coverage analysis for a source file. The file can contain MATLAB® code or C/C++ code generated with MATLAB Coder™.

You do not need to create objects of the matlab.coverage.Result class directly. To collect code coverage information and access the results, create a CodeCoveragePlugin instance using a CoverageResult object, and add the plugin to the test runner. After the test run, the Result property of the CoverageResult object holds the coverage results as an array of matlab.coverage.Result objects. Each element of the array provides information about one of the files in your source code that was covered by the tests.

Properties

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Name of the source file corresponding to the coverage result, returned as a string scalar. The testing framework sets the property to the full path to the file when creating the coverage result.

Attributes:

GetAccess
public
SetAccess
private

Date that the coverage result was created, returned as a datetime scalar.

Attributes:

GetAccess
public
SetAccess
private

Methods

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Examples

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Run a suite of tests and collect the code coverage result. Then, retrieve information about statement coverage from the result.

In a file named quadraticSolver.m in your current folder, create the quadraticSolver function. The function takes as inputs the coefficients of a quadratic polynomial and returns the roots of that polynomial. If the coefficients are specified as nonnumeric values, the function throws an error.

function r = quadraticSolver(a,b,c)
% quadraticSolver returns solutions to the
% quadratic equation a*x^2 + b*x + c = 0.

if ~isa(a,"numeric") || ~isa(b,"numeric") || ~isa(c,"numeric")
    error("quadraticSolver:InputMustBeNumeric", ...
        "Coefficients must be numeric.")
end

r(1) = (-b + sqrt(b^2 - 4*a*c)) / (2*a);
r(2) = (-b - sqrt(b^2 - 4*a*c)) / (2*a);

end

To test the quadraticSolver function, create the SolverTest class in a file named SolverTest.m in your current folder. Define three Test methods that test the function against real solutions, imaginary solutions, and nonnumeric inputs.

classdef SolverTest < matlab.unittest.TestCase
    methods (Test)
        function realSolution(testCase)
            actSolution = quadraticSolver(1,-3,2);
            expSolution = [2 1];
            testCase.verifyEqual(actSolution,expSolution)
        end
        function imaginarySolution(testCase)
            actSolution = quadraticSolver(1,2,10);
            expSolution = [-1+3i -1-3i];
            testCase.verifyEqual(actSolution,expSolution)
        end
        function nonnumericInput(testCase)
            testCase.verifyError(@()quadraticSolver(1,"-3",2), ...
                "quadraticSolver:InputMustBeNumeric")
        end
    end
end

Import the classes used in this example.

import matlab.unittest.plugins.CodeCoveragePlugin
import matlab.unittest.plugins.codecoverage.CoverageResult

Create a test suite from the SolverTest class.

suite = testsuite("SolverTest");

Create a test runner and customize it using a plugin that provides programmatic access to the code coverage information for the source code in the file quadraticSolver.m.

runner = testrunner("textoutput");
format = CoverageResult;
p = CodeCoveragePlugin.forFile("quadraticSolver.m",Producing=format);
runner.addPlugin(p)

Run the tests. After the test run, the Result property of format holds the coverage result. In this example, all the tests pass.

runner.run(suite);
Running SolverTest
...
Done SolverTest
__________

Access the statement coverage summary. The returned vector indicates that all four statements in the source code were executed by the tests.

result = format.Result;
summary = coverageSummary(result,"statement")
summary = 1×2

     4     4

Use the description of the code coverage analysis to retrieve the execution count for each statement.

[~,description] = coverageSummary(result,"statement")
description = struct with fields:
    statement: [1×4 struct]

disp([description.statement.ExecutionCount])
   3   1   2   2

Version History

Introduced in R2023a

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