Pruebas unitarias basadas en clases
Escriba pruebas basadas en clases; parametrice pruebas; aplique accesorios; seleccione y ejecute pruebas
Escriba pruebas de estilo xUnit para comprobar que la salida del código de MATLAB® responde a sus expectativas. Las pruebas unitarias basadas en clases le brindan acceso a todas las funciones del marco de pruebas unitarias. Por ejemplo, puede escribir pruebas parametrizadas, etiquetar las pruebas o usar accesorios de prueba compartidos.
Para comenzar, consulte Author Class-Based Unit Tests in MATLAB y Write Simple Test Case Using Classes.
Funciones
runtests | Run set of tests |
testsuite | Create suite of tests |
testrunner | Create test runner |
run (TestSuite) | Run TestSuite array using TestRunner object
configured for text output |
run (TestRunner) | Run test suite |
run (TestCase) | Run tests corresponding to test case |
runInParallel | Run all tests in TestSuite array in
parallel |
Clases
matlab.unittest.TestCase | Superclass of all test classes |
matlab.unittest.TestSuite | Fundamental interface for grouping tests to run |
matlab.unittest.Test | Specification of a single test |
matlab.unittest.TestRunner | Class for running tests in matlab.unittest framework |
matlab.unittest.TestResult | Result of running test suite |
Paquetes
matlab.unittest | Summary of packages and classes in MATLAB Unit Test Framework |
matlab.unittest.qualifications | Summary of classes in MATLAB Qualifications Interface |
matlab.unittest.constraints | Summary of classes in MATLAB Constraints Interface |
matlab.unittest.diagnostics | |
matlab.unittest.fixtures | Summary of classes in MATLAB Fixtures Interface |
matlab.unittest.parameters | Summary of classes associated with MATLAB Unit Test parameters |
matlab.unittest.plugins | Summary of classes in MATLAB Plugins Interface |
matlab.unittest.selectors | Summary of classes in MATLAB Selectors Interface |
Simulink.sdi.constraints.MatchesSignal | Constraint that compares time series data with tolerances using the Simulation Data Inspector |
Temas
Escribir pruebas
- Author Class-Based Unit Tests in MATLAB
To test a MATLAB program, write a unit test using qualifications that are methods for testing values and responding to failures. - Write Simple Test Case Using Classes
Write class-based unit tests to determine the correctness of your program. - Write Setup and Teardown Code Using Classes
Specify setup and teardown code that runs before and after eachTest
method or allTest
methods in a test class. - Write Tests Using Shared Fixtures
Share fixtures across test classes when creating tests. - Tag Unit Tests
Use test tags to group tests into categories and then run tests with specified tags. Typical test tags identify a particular feature or describe the type of test. - Insert Test Code Using Editor
Write a parameterized test interactively by using the options in the MATLAB Editor. - Table of Verifications, Assertions, and Other Qualifications
Test values and respond to failures using verifications, assumptions, assertions, and fatal assertions.
Escribir prueba parametrizada
- Use Parameters in Class-Based Tests
Use parameters to provide data that should be used iteratively by your tests. - Create Basic Parameterized Test
Test a function by creating a test that is parameterized in theTest
methods
block. - Create Advanced Parameterized Test
Create a test that is parameterized in theTestClassSetup
,TestMethodSetup
, andTest
methods
blocks. - Define Parameters at Suite Creation Time
Use aTestParameterDefinition
method to define parameters at test suite creation time. - Use External Parameters in Parameterized Test
Use data-driven testing to inject variable inputs into your parameterized test.
Ejecutar pruebas y analizar resultados
- Create Simple Test Suites
This example shows how to combine tests into test suites, whether they are organized in packages and classes or files and folders, or both. - Run Tests for Various Workflows
Explore different ways to run tests. - Run Tests in Editor
Run your tests while working in the Editor or Live Editor. - Analyze Test Case Results
This example shows how to analyze the information returned by a test runner. - Analyze Failed Test Results
This example shows how to identify and handle failed tests. - Rerun Failed Tests
Rerun failed tests quickly and conveniently. - Dynamically Filtered Tests
Assumption failures produce filtered tests that are marked asIncomplete
instead of producing test failures. To avoid test code that is not executed, monitor the filtered tests. - Programmatically Access Test Diagnostics
Programmatically access the diagnostics that the testing framework records on test results. - Add Plugin to Test Runner
This example shows how to add a plugin to the test runner. - Collect Statement and Function Coverage Metrics for MATLAB Source Code
Collect and analyze information about statement and function coverage for your MATLAB source code. - Compile MATLAB Unit Tests
Create a standalone application to run your tests on target machines that do not have MATLAB installed.