
- •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 10. Maintainable Tests
1.How long will it take?
2.Please tell me (so I can do the maths myself):
a.How far is the airport?
b.What is your average speed travelling to the airport from here?
I have never heard of anyone who used the second approach. In real life we act quite smartly, asking people who know (or at least should do) and only caring about the result (i.e. leaving the boring details to them). So why on earth do we write code that follows the second approach? And we really do! I see this happening all the time.
Let us have a look at an example from the domain of finance3 in order to illustrate the difference between these two approaches. The example is as follows. There is a function that calculates the value of all assets of a client. It takes a collection of funds as a parameter and returns a single number as an output. Each fund consists of two registers. A client has a number of entities within each register.
10.3.2. The Non-Object-Oriented Approach
A possible implementation of a Client class is shown in Listing 10.4. Some details have been omitted, so we can concentrate on the crucial part: calculating the value of a client’s assets.
Listing 10.4. Client class written using a non-object-oriented approach
public class Client {
private final List<IFund> funds;
...
public BigDecimal getValueOfAllFunds() { BigDecimal value = BigDecimal.ZERO; for (IFund f : funds) {
value = value.add(f.getCurrentValue().getValue().multiply( new BigDecimal(
f.getRegisterX().getNbOfUnits()
+ f.getRegisterY().getNbOfUnits()
)
));
}
return value;
}
}
As shown in Listing 10.4, a client has to do some complex calculations in order to obtain the result. For each fund it needs to:
•get the current fund value (f.getCurrentValue().getValue()), which is a two-step process, because IFund returns ICurrentValue object, which contains the real value,
•multiply this value by the number of units in both registers.
3The example is only a slightly modified version of a real business domain problem and real code that once got implemented as part of some long-forgotten project.
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Chapter 10. Maintainable Tests
Then, the results for all funds must be added together to obtain the final amount.
If you are seriously into object-oriented programming, you will surely have noticed that the code in Listing 10.4 breaches both of the principles mentioned at the beginning of this section:
•"Tell, Don’t Ask!" has been broken, because Client asks for data instead of telling others to give him results,
•"Law of Demeter" has been broken, because Client talks with friends of his friends (i.e. with registers and current value, both of which are accessed as friends of funds).
This makes it obvious that we are in trouble. The client seems to know everything about everything, when in fact all they should be interested in is the value of each fund they own. The details of the internal structure of funds should be completely hidden from them, but are not. Based on this observation, we can say that the types used in this example have a serious problem with information hiding4: they reveal their internal design. This goes against the norms of good practice in programming, and will cause problems when the code needs to be changed.
…but the main problem with such code is… that it works! The results obtained are correct. This code really calculates what it should. This leads people to conclude that the code itself is also correct. The widespread "If it works, don’t fix it!" approach5 results in such code being left as it is. The problems come later - usually when the code should be changed. This is when the troubles begin.
So, right now we will attempt to test it. There are many test cases that should be verified (with different combinations of number of funds and values), but for our purposes it will suffice to choose just one: a client having two funds. This does not sound like a difficult task, does it? Well, let us take a closer look.
Okay, so here is what I will need for my test: two test doubles of the IFund type, each of them having a value; so two ICurrentValue test doubles will also be required. Each fund also has two registers, so another four test doubles will be required (of the IRegister type). And it seems like all of these test doubles will be stubs. I only need them because I want them to return some canned values. Anything else? No, these are the main points. So let us get started.
— Tomek Thinking Aloud about How to Test Non-Object-Oriented Code
The listing is divided into two parts, so it renders better.
4See http://en.wikipedia.org/wiki/Information_hiding
5Please consult [martin2008] for a different approach - the Boy Scout Rule rule: "Leave the campground cleaner than you found it.".
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Listing 10.5. Test of the non-object-oriented Client class - setup
public class ClientTest {
private int NB_OF_UNITS_AX = 5; private int NB_OF_UNITS_AY = 1; private int NB_OF_UNITS_BX = 4; private int NB_OF_UNITS_BY = 1;
private BigDecimal FUND_A_VALUE = new BigDecimal(3); private BigDecimal FUND_B_VALUE = new BigDecimal(2);
@Test
public void totalValueShouldBeEqualToSumOfAllFundsValues() { Client client = new Client();
IFund fundA = mock(IFund.class); IFund fundB = mock(IFund.class); IRegister regAX = mock(IRegister.class); IRegister regAY = mock(IRegister.class); IRegister regBX = mock(IRegister.class); IRegister regBY = mock(IRegister.class);
ICurrentValue currentValueA = mock(ICurrentValue.class); ICurrentValue currentValueB = mock(ICurrentValue.class);
...
Some primitive values that are also required for this test.
A client: our SUT.
The SUT’s collaborators - direct and indirect.
Listing 10.6. Test of the non-object-oriented Client class - actual tests
...
when(fundA.getRegisterX()).thenReturn(regAX); when(fundA.getRegisterY()).thenReturn(regAY); when(fundB.getRegisterX()).thenReturn(regBX); when(fundB.getRegisterY()).thenReturn(regBY); when(regAX.getNbOfUnits()).thenReturn(NB_OF_UNITS_AX); when(regAY.getNbOfUnits()).thenReturn(NB_OF_UNITS_AY); when(regBX.getNbOfUnits()).thenReturn(NB_OF_UNITS_BX); when(regBY.getNbOfUnits()).thenReturn(NB_OF_UNITS_BY);
when(fundA.getCurrentValue()).thenReturn(currentValueA); when(fundB.getCurrentValue()).thenReturn(currentValueB); when(currentValueA.getValue()).thenReturn(FUND_A_VALUE); when(currentValueB.getValue()).thenReturn(FUND_B_VALUE);
client.addFund(fundA);
client.addFund(fundB);
assertEquals(BigDecimal.valueOf((5 + 1) * 3 + (4 + 1) * 2), client.getValueOfAllFunds());
}
}
Instructing stubs on what they should return.
Hmm, interesting - instructing a stub to return a stub…
Setting the SUT in the desired state - it should own two funds.
Verification.
This test is very long, and there are some really disturbing and confusing features to it:
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