ITK/Release 4/UnitTesting: Difference between revisions
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The extra output is generated by Google test. | The extra output is generated by Google test. | ||
====Test failure==== | |||
Now, let's see what happens if we fail a test. Modify the body of GaussianImageFilter.Recursive to be: | Now, let's see what happens if we fail a test. Modify the body of GaussianImageFilter.Recursive to be: | ||
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4/4 Test #4: GaussianImageFilter.Recursive ....***Failed 0.01 sec | 4/4 Test #4: GaussianImageFilter.Recursive ....***Failed 0.01 sec | ||
</pre> | </pre> | ||
In the output above, we can see the 'Continue anyway' message and the line the failure came from (line 25) as well as the 'Stop running the test' message. This helps the developer quickly understand why the test was failing. | |||
====Image test==== | |||
We now edit the test to include the proper header files, and load an image. This code snippit introduces a helper function defined in the ITKTestHarness called LoadImage. |
Revision as of 16:46, 16 August 2010
ITK v4 Unit Testing Framework
Many of the existing ITK 3.20 tests were written for the purpose of testing methods and increasing code coverage. These tests accomplish this task exceedingly well, as code coverage for ITK 3.20 testing exceeds 70% of the entire toolkit. Some of the tests evaluate outputs to validate correctness of filter results. In ITK v4, the Google Testing framework will be added to assist developers in writing sound unit tests.
Unit and regression testing concepts
Formal unit and regression testing helps developers of ITK assure correct behavior of the toolkit. Characteristics of a good unit/regression test framework are:
- Tests clearly test one discrete unit of functionality
- Tests verify output(s) of code against a regression standard
- Tests are simple to read and write by developers
The Google Test framework is a well designed and thoroughly documented unit test framework. Google Test (GTest) is a natural fit with the ctest/CDash framework. GTest creates and manages individual tests, ctest executes GTest recording the results and posts to CDash. GTest is also well integrated with CMake.
Unit testing tutorial
The new unit testing framework leverages GTest and some utility functions specific for ITK. This tutorial will demonstrate many features of the new ITK testing framework (ITKTestHarness). This example show the stages of writing an ITK test, progressing from simple concepts to more complex.
Setup
In this tutorial, we are going to write a test suite or test group for the two flavors of gaussian smoothing available in ITK: [1] and [2]. The first step in the process is to create a new file in the appropriate directory. Our TestGroup will be GaussianImageFilter, so we create the file Testing/Unit/BasicFilters/itkGaussianImageFilterTests.cxx. To let CMake know about our test we edit the CMakeLists.txt file in Testing/Unit/BasicFilters to include our new file:
set(BasicFiltersTestSource itkGaussianImageFilterTests.cxx )
First tests
Next, we will create an edit itkGaussianImageFilterTests.cxx:
#include "itkTestHarness.h" TEST(GaussianImageFilter,Recursive) { ASSERT_TRUE ( true ); } TEST(GaussianImageFilter,Discrete) { ASSERT_TRUE ( true ); }
The first line includes the new ITK test harness.
#include "itkTestHarness.h"
We define two tests:
TEST(GaussianImageFilter,Recursive) TEST(GaussianImageFilter,Discrete)
The TEST macro is provided by Google Test. The first argument is the TestGroup or TestSuite name. The second argument is the name of the test to run. In our case, we have added two tests called GaussianImageFilter.Recursive and GaussianImageFilter.Discrete.
Looking at the body of each test we see:
ASSERT_TRUE ( true );
ASSERT_TRUE is another Google Test macro. It's function is to ensure the body of the macro evaluates to true. If the body is true, the test continues, if the body evaluates to false, the test stops and prints out an error message. If we compile and run ctest, we see that the tests pass:
Test project /Users/blezek/Source/ITK-macosx Start 3: GaussianImageFilter.Discrete 3/4 Test #3: GaussianImageFilter.Discrete ..... Passed 0.01 sec Start 4: GaussianImageFilter.Recursive 4/4 Test #4: GaussianImageFilter.Recursive .... Passed 0.01 sec
Under the hood, ctest is running Google Tests:
3: Test command: /Users/blezek/Source/ITK-macosx/bin/itkBasicFiltersUnitTests --gtest_filter=GaussianImageFilter.Discrete /Users/blezek/Source/ITK/Testing/Data /Users/blezek/Source/ITK-macosx/Testing/Temporary 3: Test timeout computed to be: 1500 3: Note: Google Test filter = GaussianImageFilter.Discrete 3: [==========] Running 1 test from 1 test case. 3: [----------] Global test environment set-up. 3: [----------] 1 test from GaussianImageFilter 3: [ RUN ] GaussianImageFilter.Discrete 3: [ OK ] GaussianImageFilter.Discrete (0 ms) 3: [----------] 1 test from GaussianImageFilter (1 ms total) 3: 3: [----------] Global test environment tear-down 3: [==========] 1 test from 1 test case ran. (1 ms total) 3: [ PASSED ] 1 test. 3/4 Test #3: GaussianImageFilter.Discrete ..... Passed 0.01 sec
The extra output is generated by Google test.
Test failure
Now, let's see what happens if we fail a test. Modify the body of GaussianImageFilter.Recursive to be:
TEST(GaussianImageFilter,Recursive) { EXPECT_TRUE ( false ) << "Continue anyway"; ASSERT_TRUE ( false ) << "Stop running the test"; ASSERT_TRUE ( false ) << "Never gets here"; }
This introduces the EXPECT_TRUE macro. EXPECT_TRUE evaluates it's body, if it evaluates to false, the test continues, but a failure is recorded for the test. The macro allows a text string to be piped in using the '<<' syntax to record the purpose of the test. In the code above, the test will fail on the EXPECT_TRUE, but continue to the first ASSERT_TRUE. This macro halts the test, so the second ASSERT_TRUE is never run. ASSERT's are typically used when a failure is fatal, while EXPECT's are used when the test failed, but it is safe to run the rest of the test.
When we run ctest we see:
4: [==========] Running 1 test from 1 test case. 4: [----------] Global test environment set-up. 4: [----------] 1 test from GaussianImageFilter 4: [ RUN ] GaussianImageFilter.Recursive 4: /Users/blezek/Source/ITK/Testing/Unit/BasicFilters/itkGaussianImageFilterTests.cxx:25: Failure 4: Value of: false 4: Actual: false 4: Expected: true 4: Continue anyway 4: /Users/blezek/Source/ITK/Testing/Unit/BasicFilters/itkGaussianImageFilterTests.cxx:26: Failure 4: Value of: false 4: Actual: false 4: Expected: true 4: Stop running the test 4: [ FAILED ] GaussianImageFilter.Recursive (0 ms) 4: [----------] 1 test from GaussianImageFilter (0 ms total) 4: 4: [----------] Global test environment tear-down 4: [==========] 1 test from 1 test case ran. (0 ms total) 4: [ PASSED ] 0 tests. 4: [ FAILED ] 1 test, listed below: 4: [ FAILED ] GaussianImageFilter.Recursive 4: 4: 1 FAILED TEST 4/4 Test #4: GaussianImageFilter.Recursive ....***Failed 0.01 sec
In the output above, we can see the 'Continue anyway' message and the line the failure came from (line 25) as well as the 'Stop running the test' message. This helps the developer quickly understand why the test was failing.
Image test
We now edit the test to include the proper header files, and load an image. This code snippit introduces a helper function defined in the ITKTestHarness called LoadImage.