1. Installing PHPUnit
Requirements
PHP Archive (PHAR)
Windows
Verifying PHPUnit PHAR Releases
Composer
Optional packages
2. Writing Tests for PHPUnit
Test Dependencies
Data Providers
Testing Exceptions
Testing PHP Errors
Testing Output
Error output
Edge cases
3. The Command-Line Test Runner
Command-Line Options
4. Fixtures
More setUp() than tearDown()
Variations
Sharing Fixture
Global State
5. Organizing Tests
Composing a Test Suite Using the Filesystem
Composing a Test Suite Using XML Configuration
6. Risky Tests
Useless Tests
Unintentionally Covered Code
Output During Test Execution
Test Execution Timeout
Global State Manipulation
7. Incomplete and Skipped Tests
Incomplete Tests
Skipping Tests
Skipping Tests using @requires
8. Database Testing
Supported Vendors for Database Testing
Difficulties in Database Testing
The four stages of a database test
1. Clean-Up Database
2. Set up fixture
3–5. Run Test, Verify outcome and Teardown
Configuration of a PHPUnit Database TestCase
Implementing getConnection()
Implementing getDataSet()
What about the Database Schema (DDL)?
Tip: Use your own Abstract Database TestCase
Understanding DataSets and DataTables
Available Implementations
Beware of Foreign Keys
Implementing your own DataSets/DataTables
The Connection API
Database Assertions API
Asserting the Row-Count of a Table
Asserting the State of a Table
Asserting the Result of a Query
Asserting the State of Multiple Tables
Frequently Asked Questions
Will PHPUnit (re-)create the database schema for each test?
Am I required to use PDO in my application for the Database Extension to work?
What can I do, when I get a Too much Connections Error?
How to handle NULL with Flat XML / CSV Datasets?
9. Test Doubles
Stubs
Mock Objects
Prophecy
Mocking Traits and Abstract Classes
Stubbing and Mocking Web Services
Mocking the Filesystem
10. Testing Practices
During Development
During Debugging
11. Code Coverage Analysis
Software Metrics for Code Coverage
Whitelisting Files
Ignoring Code Blocks
Specifying Covered Methods
Edge Cases
12. Other Uses for Tests
Agile Documentation
Cross-Team Tests
13. Logging
Test Results (XML)
Test Results (TAP)
Test Results (JSON)
Code Coverage (XML)
Code Coverage (TEXT)
14. Extending PHPUnit
Subclass PHPUnit_Framework_TestCase
Write custom assertions
Implement PHPUnit_Framework_TestListener
Subclass PHPUnit_Extensions_TestDecorator
Implement PHPUnit_Framework_Test
A. Assertions
assertArrayHasKey()
assertClassHasAttribute()
assertArraySubset()
assertClassHasStaticAttribute()
assertContains()
assertContainsOnly()
assertContainsOnlyInstancesOf()
assertCount()
assertEmpty()
assertEqualXMLStructure()
assertEquals()
assertFalse()
assertFileEquals()
assertFileExists()
assertGreaterThan()
assertGreaterThanOrEqual()
assertInfinite()
assertInstanceOf()
assertInternalType()
assertJsonFileEqualsJsonFile()
assertJsonStringEqualsJsonFile()
assertJsonStringEqualsJsonString()
assertLessThan()
assertLessThanOrEqual()
assertNan()
assertNull()
assertObjectHasAttribute()
assertRegExp()
assertStringMatchesFormat()
assertStringMatchesFormatFile()
assertSame()
assertStringEndsWith()
assertStringEqualsFile()
assertStringStartsWith()
assertThat()
assertTrue()
assertXmlFileEqualsXmlFile()
assertXmlStringEqualsXmlFile()
assertXmlStringEqualsXmlString()
B. Annotations
@author
@after
@afterClass
@backupGlobals
@backupStaticAttributes
@before
@beforeClass
@codeCoverageIgnore*
@covers
@coversDefaultClass
@coversNothing
@dataProvider
@depends
@expectedException
@expectedExceptionCode
@expectedExceptionMessage
@expectedExceptionMessageRegExp
@group
@large
@medium
@preserveGlobalState
@requires
@runTestsInSeparateProcesses
@runInSeparateProcess
@small
@test
@testdox
@ticket
@uses
C. The XML Configuration File
PHPUnit
Test Suites
Groups
Whitelisting Files for Code Coverage
Logging
Test Listeners
Setting PHP INI settings, Constants and Global Variables
Configuring Browsers for Selenium RC
D. Index
E. Bibliography
F. Copyright


Chapter 10. Testing Practices

 

You can always write more tests. However, you will quickly find that only a fraction of the tests you can imagine are actually useful. What you want is to write tests that fail even though you think they should work, or tests that succeed even though you think they should fail. Another way to think of it is in cost/benefit terms. You want to write tests that will pay you back with information.

 
  --Erich Gamma

During Development

When you need to make a change to the internal structure of the software you are working on to make it easier to understand and cheaper to modify without changing its observable behavior, a test suite is invaluable in applying these so called refactorings safely. Otherwise, you might not notice the system breaking while you are carrying out the restructuring.

The following conditions will help you to improve the code and design of your project, while using unit tests to verify that the refactoring's transformation steps are, indeed, behavior-preserving and do not introduce errors:

  1. All unit tests run correctly.

  2. The code communicates its design principles.

  3. The code contains no redundancies.

  4. The code contains the minimal number of classes and methods.

When you need to add new functionality to the system, write the tests first. Then, you will be done developing when the test runs. This practice will be discussed in detail in the next chapter.

During Debugging

When you get a defect report, your impulse might be to fix the defect as quickly as possible. Experience shows that this impulse will not serve you well; it is likely that the fix for the defect causes another defect.

You can hold your impulse in check by doing the following:

  1. Verify that you can reproduce the defect.

  2. Find the smallest-scale demonstration of the defect in the code. For example, if a number appears incorrectly in an output, find the object that is computing that number.

  3. Write an automated test that fails now but will succeed when the defect is fixed.

  4. Fix the defect.

Finding the smallest reliable reproduction of the defect gives you the opportunity to really examine the cause of the defect. The test you write will improve the chances that when you fix the defect, you really fix it, because the new test reduces the likelihood of undoing the fix with future code changes. All the tests you wrote before reduce the likelihood of inadvertently causing a different problem.

 

Unit testing offers many advantages:

  • Testing gives code authors and reviewers confidence that patches produce the correct results.

  • Authoring testcases is a good impetus for developers to discover edge cases.

  • Testing provides a good way to catch regressions quickly, and to make sure that no regression will be repeated twice.

  • Unit tests provide working examples for how to use an API and can significantly aid documentation efforts.

Overall, integrated unit testing makes the cost and risk of any individual change smaller. It will allow the project to make [...] major architectural improvements [...] quickly and confidently.

 
  --Benjamin Smedberg