
- •Practical Unit Testing with JUnit and Mockito
- •Table of Contents
- •About the Author
- •Acknowledgments
- •Preface
- •Preface - JUnit
- •Part I. Developers' Tests
- •Chapter 1. On Tests and Tools
- •1.1. An Object-Oriented System
- •1.2. Types of Developers' Tests
- •1.2.1. Unit Tests
- •1.2.2. Integration Tests
- •1.2.3. End-to-End Tests
- •1.2.4. Examples
- •1.2.5. Conclusions
- •1.3. Verification and Design
- •1.5. Tools Introduction
- •Chapter 2. Unit Tests
- •2.1. What is a Unit Test?
- •2.2. Interactions in Unit Tests
- •2.2.1. State vs. Interaction Testing
- •2.2.2. Why Worry about Indirect Interactions?
- •Part II. Writing Unit Tests
- •3.2. Class To Test
- •3.3. Your First JUnit Test
- •3.3.1. Test Results
- •3.4. JUnit Assertions
- •3.5. Failing Test
- •3.6. Parameterized Tests
- •3.6.1. The Problem
- •3.6.2. The Solution
- •3.6.3. Conclusions
- •3.7. Checking Expected Exceptions
- •3.8. Test Fixture Setting
- •3.8.1. Test Fixture Examples
- •3.8.2. Test Fixture in Every Test Method
- •3.8.3. JUnit Execution Model
- •3.8.4. Annotations for Test Fixture Creation
- •3.9. Phases of a Unit Test
- •3.10. Conclusions
- •3.11. Exercises
- •3.11.1. JUnit Run
- •3.11.2. String Reverse
- •3.11.3. HashMap
- •3.11.4. Fahrenheits to Celcius with Parameterized Tests
- •3.11.5. Master Your IDE
- •Templates
- •Quick Navigation
- •Chapter 4. Test Driven Development
- •4.1. When to Write Tests?
- •4.1.1. Test Last (AKA Code First) Development
- •4.1.2. Test First Development
- •4.1.3. Always after a Bug is Found
- •4.2. TDD Rhythm
- •4.2.1. RED - Write a Test that Fails
- •How To Choose the Next Test To Write
- •Readable Assertion Message
- •4.2.2. GREEN - Write the Simplest Thing that Works
- •4.2.3. REFACTOR - Improve the Code
- •Refactoring the Tests
- •Adding Javadocs
- •4.2.4. Here We Go Again
- •4.3. Benefits
- •4.4. TDD is Not Only about Unit Tests
- •4.5. Test First Example
- •4.5.1. The Problem
- •4.5.2. RED - Write a Failing Test
- •4.5.3. GREEN - Fix the Code
- •4.5.4. REFACTOR - Even If Only a Little Bit
- •4.5.5. First Cycle Finished
- •‘The Simplest Thing that Works’ Revisited
- •4.5.6. More Test Cases
- •But is It Comparable?
- •Comparison Tests
- •4.6. Conclusions and Comments
- •4.7. How to Start Coding TDD
- •4.8. When not To Use Test-First?
- •4.9. Should I Follow It Blindly?
- •4.9.1. Write Good Assertion Messages from the Beginning
- •4.9.2. If the Test Passes "By Default"
- •4.10. Exercises
- •4.10.1. Password Validator
- •4.10.2. Regex
- •4.10.3. Booking System
- •Chapter 5. Mocks, Stubs, Test Spies
- •5.1. Introducing Mockito
- •5.1.1. Creating Test Doubles
- •5.1.2. Expectations
- •5.1.3. Verification
- •5.1.4. Conclusions
- •5.2. Types of Test Double
- •5.2.1. Code To Be Tested with Test Doubles
- •5.2.2. The Dummy Object
- •5.2.3. Test Stub
- •5.2.4. Test Spy
- •5.2.5. Mock
- •5.3. Putting it All Together
- •5.4. Example: TDD with Test Doubles
- •5.4.2. The Second Test: Send a Message to Multiple Subscribers
- •Refactoring
- •5.4.3. The Third Test: Send Messages to Subscribers Only
- •5.4.4. The Fourth Test: Subscribe More Than Once
- •Mockito: How Many Times?
- •5.4.5. The Fifth Test: Remove a Subscriber
- •5.4.6. TDD and Test Doubles - Conclusions
- •More Test Code than Production Code
- •The Interface is What Really Matters
- •Interactions Can Be Tested
- •Some Test Doubles are More Useful than Others
- •5.5. Always Use Test Doubles… or Maybe Not?
- •5.5.1. No Test Doubles
- •5.5.2. Using Test Doubles
- •No Winner So Far
- •5.5.3. A More Complicated Example
- •5.5.4. Use Test Doubles or Not? - Conclusion
- •5.6. Conclusions (with a Warning)
- •5.7. Exercises
- •5.7.1. User Service Tested
- •5.7.2. Race Results Enhanced
- •5.7.3. Booking System Revisited
- •5.7.4. Read, Read, Read!
- •Part III. Hints and Discussions
- •Chapter 6. Things You Should Know
- •6.1. What Values To Check?
- •6.1.1. Expected Values
- •6.1.2. Boundary Values
- •6.1.3. Strange Values
- •6.1.4. Should You Always Care?
- •6.1.5. Not Only Input Parameters
- •6.2. How to Fail a Test?
- •6.3. How to Ignore a Test?
- •6.4. More about Expected Exceptions
- •6.4.1. The Expected Exception Message
- •6.4.2. Catch-Exception Library
- •6.4.3. Testing Exceptions And Interactions
- •6.4.4. Conclusions
- •6.5. Stubbing Void Methods
- •6.6. Matchers
- •6.6.1. JUnit Support for Matcher Libraries
- •6.6.2. Comparing Matcher with "Standard" Assertions
- •6.6.3. Custom Matchers
- •6.6.4. Advantages of Matchers
- •6.7. Mockito Matchers
- •6.7.1. Hamcrest Matchers Integration
- •6.7.2. Matchers Warning
- •6.8. Rules
- •6.8.1. Using Rules
- •6.8.2. Writing Custom Rules
- •6.9. Unit Testing Asynchronous Code
- •6.9.1. Waiting for the Asynchronous Task to Finish
- •6.9.2. Making Asynchronous Synchronous
- •6.9.3. Conclusions
- •6.10. Testing Thread Safe
- •6.10.1. ID Generator: Requirements
- •6.10.2. ID Generator: First Implementation
- •6.10.3. ID Generator: Second Implementation
- •6.10.4. Conclusions
- •6.11. Time is not on Your Side
- •6.11.1. Test Every Date (Within Reason)
- •6.11.2. Conclusions
- •6.12. Testing Collections
- •6.12.1. The TDD Approach - Step by Step
- •6.12.2. Using External Assertions
- •Unitils
- •Testing Collections Using Matchers
- •6.12.3. Custom Solution
- •6.12.4. Conclusions
- •6.13. Reading Test Data From Files
- •6.13.1. CSV Files
- •6.13.2. Excel Files
- •6.14. Conclusions
- •6.15. Exercises
- •6.15.1. Design Test Cases: State Testing
- •6.15.2. Design Test Cases: Interactions Testing
- •6.15.3. Test Collections
- •6.15.4. Time Testing
- •6.15.5. Redesign of the TimeProvider class
- •6.15.6. Write a Custom Matcher
- •6.15.7. Preserve System Properties During Tests
- •6.15.8. Enhance the RetryTestRule
- •6.15.9. Make an ID Generator Bulletproof
- •Chapter 7. Points of Controversy
- •7.1. Access Modifiers
- •7.2. Random Values in Tests
- •7.2.1. Random Object Properties
- •7.2.2. Generating Multiple Test Cases
- •7.2.3. Conclusions
- •7.3. Is Set-up the Right Thing for You?
- •7.4. How Many Assertions per Test Method?
- •7.4.1. Code Example
- •7.4.2. Pros and Cons
- •7.4.3. Conclusions
- •7.5. Private Methods Testing
- •7.5.1. Verification vs. Design - Revisited
- •7.5.2. Options We Have
- •7.5.3. Private Methods Testing - Techniques
- •Reflection
- •Access Modifiers
- •7.5.4. Conclusions
- •7.6. New Operator
- •7.6.1. PowerMock to the Rescue
- •7.6.2. Redesign and Inject
- •7.6.3. Refactor and Subclass
- •7.6.4. Partial Mocking
- •7.6.5. Conclusions
- •7.7. Capturing Arguments to Collaborators
- •7.8. Conclusions
- •7.9. Exercises
- •7.9.1. Testing Legacy Code
- •Part IV. Listen and Organize
- •Chapter 8. Getting Feedback
- •8.1. IDE Feedback
- •8.1.1. Eclipse Test Reports
- •8.1.2. IntelliJ IDEA Test Reports
- •8.1.3. Conclusion
- •8.2. JUnit Default Reports
- •8.3. Writing Custom Listeners
- •8.4. Readable Assertion Messages
- •8.4.1. Add a Custom Assertion Message
- •8.4.2. Implement the toString() Method
- •8.4.3. Use the Right Assertion Method
- •8.5. Logging in Tests
- •8.6. Debugging Tests
- •8.7. Notifying The Team
- •8.8. Conclusions
- •8.9. Exercises
- •8.9.1. Study Test Output
- •8.9.2. Enhance the Custom Rule
- •8.9.3. Custom Test Listener
- •8.9.4. Debugging Session
- •Chapter 9. Organization Of Tests
- •9.1. Package for Test Classes
- •9.2. Name Your Tests Consistently
- •9.2.1. Test Class Names
- •Splitting Up Long Test Classes
- •Test Class Per Feature
- •9.2.2. Test Method Names
- •9.2.3. Naming of Test-Double Variables
- •9.3. Comments in Tests
- •9.4. BDD: ‘Given’, ‘When’, ‘Then’
- •9.4.1. Testing BDD-Style
- •9.4.2. Mockito BDD-Style
- •9.5. Reducing Boilerplate Code
- •9.5.1. One-Liner Stubs
- •9.5.2. Mockito Annotations
- •9.6. Creating Complex Objects
- •9.6.1. Mummy Knows Best
- •9.6.2. Test Data Builder
- •9.6.3. Conclusions
- •9.7. Conclusions
- •9.8. Exercises
- •9.8.1. Test Fixture Setting
- •9.8.2. Test Data Builder
- •Part V. Make Them Better
- •Chapter 10. Maintainable Tests
- •10.1. Test Behaviour, not Methods
- •10.2. Complexity Leads to Bugs
- •10.3. Follow the Rules or Suffer
- •10.3.1. Real Life is Object-Oriented
- •10.3.2. The Non-Object-Oriented Approach
- •Do We Need Mocks?
- •10.3.3. The Object-Oriented Approach
- •10.3.4. How To Deal with Procedural Code?
- •10.3.5. Conclusions
- •10.4. Rewriting Tests when the Code Changes
- •10.4.1. Avoid Overspecified Tests
- •10.4.2. Are You Really Coding Test-First?
- •10.4.3. Conclusions
- •10.5. Things Too Simple To Break
- •10.6. Conclusions
- •10.7. Exercises
- •10.7.1. A Car is a Sports Car if …
- •10.7.2. Stack Test
- •Chapter 11. Test Quality
- •11.1. An Overview
- •11.2. Static Analysis Tools
- •11.3. Code Coverage
- •11.3.1. Line and Branch Coverage
- •11.3.2. Code Coverage Reports
- •11.3.3. The Devil is in the Details
- •11.3.4. How Much Code Coverage is Good Enough?
- •11.3.5. Conclusion
- •11.4. Mutation Testing
- •11.4.1. How does it Work?
- •11.4.2. Working with PIT
- •11.4.3. Conclusions
- •11.5. Code Reviews
- •11.5.1. A Three-Minute Test Code Review
- •Size Heuristics
- •But do They Run?
- •Check Code Coverage
- •Conclusions
- •11.5.2. Things to Look For
- •Easy to Understand
- •Documented
- •Are All the Important Scenarios Verified?
- •Run Them
- •Date Testing
- •11.5.3. Conclusions
- •11.6. Refactor Your Tests
- •11.6.1. Use Meaningful Names - Everywhere
- •11.6.2. Make It Understandable at a Glance
- •11.6.3. Make Irrelevant Data Clearly Visible
- •11.6.4. Do not Test Many Things at Once
- •11.6.5. Change Order of Methods
- •11.7. Conclusions
- •11.8. Exercises
- •11.8.1. Clean this Mess
- •Appendix A. Automated Tests
- •A.1. Wasting Your Time by not Writing Tests
- •A.1.1. And what about Human Testers?
- •A.1.2. One More Benefit: A Documentation that is Always Up-To-Date
- •A.2. When and Where Should Tests Run?
- •Appendix B. Running Unit Tests
- •B.1. Running Tests with Eclipse
- •B.1.1. Debugging Tests with Eclipse
- •B.2. Running Tests with IntelliJ IDEA
- •B.2.1. Debugging Tests with IntelliJ IDEA
- •B.3. Running Tests with Gradle
- •B.3.1. Using JUnit Listeners with Gradle
- •B.3.2. Adding JARs to Gradle’s Tests Classpath
- •B.4. Running Tests with Maven
- •B.4.1. Using JUnit Listeners and Reporters with Maven
- •B.4.2. Adding JARs to Maven’s Tests Classpath
- •Appendix C. Test Spy vs. Mock
- •C.1. Different Flow - and Who Asserts?
- •C.2. Stop with the First Error
- •C.3. Stubbing
- •C.4. Forgiveness
- •C.5. Different Threads or Containers
- •C.6. Conclusions
- •Appendix D. Where Should I Go Now?
- •Bibliography
- •Glossary
- •Index
- •Thank You!

Chapter 3. Unit Tests with no Collaborators
Listing 3.12. Money class constructor expected exceptions test
@RunWith(JUnitParamsRunner.class) public class MoneyIAETest {
private final static int VALID_AMOUNT = 5;
private final static String VALID_CURRENCY = "USD";
private static final Object[] getInvalidAmount() { return new Integer[][]{{-12387}, {-5}, {-1}};
}
@Test(expected = IllegalArgumentException.class) @Parameters(method = "getInvalidAmount")
public void constructorShouldThrowIAEForInvalidAmount( int invalidAmount) {
new Money(invalidAmount, VALID_CURRENCY);
}
private static final Object[] getInvalidCurrency() { return new String[][]{{null}, {""}};
}
@Test(expected = IllegalArgumentException.class) @Parameters(method = "getInvalidCurrency")
public void constructorShouldThrowIAEForInvalidCurrency( String invalidCurrency) {
new Money(VALID_AMOUNT, invalidCurrency);
}
}
both tests will succeed only if a given exception is thrown, both test methods use data-providing methods,
there are no explicit assertions in this test.
What I would like to stress here is the importance of giving meaningful names to methods and variables8. They make the test readable and leave no room for doubts as to the role played by each method or variable. Let’s take a look at this line:
Money money = new Money(invalidAmount, VALID_CURRENCY);
By using meaningful names for variables, we have achieved a highly readable test. Just read it: "this line of code creates a new object of the class Money, using an invalid amount and a valid currency". All perfectly clear.
More information on expected exceptions testing can be found in Section 6.4.
3.8. Test Fixture Setting
The term "test fixture" refers to the notion of a "well known and fixed environment in which tests are run so that results are repeatable"9. The steps required to set up such an environment differ, depending on the types of test and tool used, but the basic idea is always the same.
8This issue is further discussed in Section 9.2 and Section 11.6.1 9Citation from Wikipedia, http://en.wikipedia.org/wiki/Test_fixture.
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Chapter 3. Unit Tests with no Collaborators
It is time to make sure that all elements are in place prior to an SUT’s methods’ being executed. In this section we will learn the basics of JUnit support for test fixture creation. We will learn some new annotations, and discuss the optimal test code structure.
3.8.1. Test Fixture Examples
The automation of the environment set up process is often the most challenging part of testing. This is especially true for integration and end-to-end tests. In the case of unit tests things are usually much simpler, but there are still some issues which should be taken care of. The following table gives examples of test fixtures for different types of test.
Table 3.2. Test fixture examples
type of test |
test fixture example |
unit test |
• creation of new objects (SUT and test doubles), |
|
• preparation of input data, |
|
|
integration |
• resetting the database to the initial state (e.g. so it contains one user with |
test |
required privileges whose account can be used to perform tests), |
|
• copying of files that will be used during tests, |
|
|
end-to-end |
• installation of a virtual machine that provides the runtime environment for the |
test |
application, |
•installation (or cleaning to some initial state) of the web server and database used by the application.
3.8.2.Test Fixture in Every Test Method
Let us introduce now two simple Client and Address classes. Suppose we want to verify that the objects of the Client class are able to store a collection of addresses. Our first approach to the testing of this class might be the following:
30

Chapter 3. Unit Tests with no Collaborators
Listing 3.13. Client object created in each test method
public class ClientTest {
private Address addressA = new Address("street A"); private Address addressB = new Address("street B");
@Test
public void afterCreationShouldHaveNoAddress() { Client client = new Client();
assertEquals(0, client.getAddresses().size());
}
@Test
public void shouldAllowToAddAddress() { Client client = new Client();
client.addAddress(addressA);
assertEquals(1, client.getAddresses().size()); assertTrue(client.getAddresses().contains(addressA));
}
@Test
public void shouldAllowToAddManyAddresses() { Client client = new Client();
client.addAddress(addressA);
client.addAddress(addressB);
assertEquals(2, client.getAddresses().size()); assertTrue(client.getAddresses().contains(addressA)); assertTrue(client.getAddresses().contains(addressB));
}
}
This test is fine, yet it certainly has a lot of repeated code related to the creation of objects. The client variable is created in each test method. If only we could have it being created in advance of each test method’s being executed… Well, it comes as no surprise that such a common concern is addressed by JUnit.
3.8.3. JUnit Execution Model
To avoid repetition in the test code we may exploit the fact that JUnit creates a new instance of a test class before executing any test method marked with the @Test annotation. This means that every instance variable (like addressA and addressB on listing Listing 3.13) are created anew before
execution of any test method: afterCreationShouldHaveNoaddress(), shouldAllowToAddAddress() and shouldAllowToAddManyAddresses().
This means that if a new Client is what we need in every test method, all we have to do is to make it an instance field instead of method variable.
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Chapter 3. Unit Tests with no Collaborators
Listing 3.14. Client object as an instance field
public class ClientTest {
private Address addressA = new Address("street A"); private Address addressB = new Address("street B"); private Client client = new Client();
@Test
public void afterCreationShouldHaveNoAddress() { assertEquals(0, client.getAddresses().size());
}
@Test
public void shouldAllowToAddAddress() { client.addAddress(addressA);
assertEquals(1, client.getAddresses().size()); assertTrue(client.getAddresses().contains(addressA));
}
@Test
public void shouldAllowToAddManyAddresses() { client.addAddress(addressA); client.addAddress(addressB);
assertEquals(2, client.getAddresses().size()); assertTrue(client.getAddresses().contains(addressA)); assertTrue(client.getAddresses().contains(addressB));
}
}
client is now an instance field.
This test is functionally equivalent to the previous one (Listing 3.13), but a little bit shorter. As can be seen, the creation of the client variable is no longer dispersed across multiple methods, but happens only once. Also, there is no repetition. Had more test methods been available, the advantages of this approach would have been even more pronounced.
This test is also probably a little bit harder to read, because we are obliged to look outside a test method to understand how it works. This is something worth remembering.
3.8.4. Annotations for Test Fixture Creation
In some cases the method presented in the previous paragraphs does not work. In particular, this happens when we need to call some methods on the object of the Client class to fully prepare it for testing.
Another way to solve the same problem is to introduce a setUp() method10 that will be responsible for the creation of all objects. By annotating it with the @Before annotation, we tell JUnit to do exactly that: to execute this method before each test method is executed.
10It is named setUp() for historical reasons (JUnit 3.x had a special method, called setUp(), responsible for setting up the test fixture). As stated before, JUnit 4 does not care about the name: what it responds to are method annotations.
32