- •contents
- •preface
- •acknowledgments
- •about this book
- •Special features
- •Best practices
- •Design patterns in action
- •Software directory
- •Roadmap
- •Part 1: JUnit distilled
- •Part 2: Testing strategies
- •Part 3: Testing components
- •Code
- •References
- •Author online
- •about the authors
- •about the title
- •about the cover illustration
- •JUnit jumpstart
- •1.1 Proving it works
- •1.2 Starting from scratch
- •1.3 Understanding unit testing frameworks
- •1.4 Setting up JUnit
- •1.5 Testing with JUnit
- •1.6 Summary
- •2.1 Exploring core JUnit
- •2.2 Launching tests with test runners
- •2.2.1 Selecting a test runner
- •2.2.2 Defining your own test runner
- •2.3 Composing tests with TestSuite
- •2.3.1 Running the automatic suite
- •2.3.2 Rolling your own test suite
- •2.4 Collecting parameters with TestResult
- •2.5 Observing results with TestListener
- •2.6 Working with TestCase
- •2.6.1 Managing resources with a fixture
- •2.6.2 Creating unit test methods
- •2.7 Stepping through TestCalculator
- •2.7.1 Creating a TestSuite
- •2.7.2 Creating a TestResult
- •2.7.3 Executing the test methods
- •2.7.4 Reviewing the full JUnit life cycle
- •2.8 Summary
- •3.1 Introducing the controller component
- •3.1.1 Designing the interfaces
- •3.1.2 Implementing the base classes
- •3.2 Let’s test it!
- •3.2.1 Testing the DefaultController
- •3.2.2 Adding a handler
- •3.2.3 Processing a request
- •3.2.4 Improving testProcessRequest
- •3.3 Testing exception-handling
- •3.3.1 Simulating exceptional conditions
- •3.3.2 Testing for exceptions
- •3.4 Setting up a project for testing
- •3.5 Summary
- •4.1 The need for unit tests
- •4.1.1 Allowing greater test coverage
- •4.1.2 Enabling teamwork
- •4.1.3 Preventing regression and limiting debugging
- •4.1.4 Enabling refactoring
- •4.1.5 Improving implementation design
- •4.1.6 Serving as developer documentation
- •4.1.7 Having fun
- •4.2 Different kinds of tests
- •4.2.1 The four flavors of software tests
- •4.2.2 The three flavors of unit tests
- •4.3 Determining how good tests are
- •4.3.1 Measuring test coverage
- •4.3.2 Generating test coverage reports
- •4.3.3 Testing interactions
- •4.4 Test-Driven Development
- •4.4.1 Tweaking the cycle
- •4.5 Testing in the development cycle
- •4.6 Summary
- •5.1 A day in the life
- •5.2 Running tests from Ant
- •5.2.1 Ant, indispensable Ant
- •5.2.2 Ant targets, projects, properties, and tasks
- •5.2.3 The javac task
- •5.2.4 The JUnit task
- •5.2.5 Putting Ant to the task
- •5.2.6 Pretty printing with JUnitReport
- •5.2.7 Automatically finding the tests to run
- •5.3 Running tests from Maven
- •5.3.2 Configuring Maven for a project
- •5.3.3 Executing JUnit tests with Maven
- •5.3.4 Handling dependent jars with Maven
- •5.4 Running tests from Eclipse
- •5.4.1 Creating an Eclipse project
- •5.4.2 Running JUnit tests in Eclipse
- •5.5 Summary
- •6.1 Introducing stubs
- •6.2 Practicing on an HTTP connection sample
- •6.2.1 Choosing a stubbing solution
- •6.2.2 Using Jetty as an embedded server
- •6.3 Stubbing the web server’s resources
- •6.3.1 Setting up the first stub test
- •6.3.2 Testing for failure conditions
- •6.3.3 Reviewing the first stub test
- •6.4 Stubbing the connection
- •6.4.1 Producing a custom URL protocol handler
- •6.4.2 Creating a JDK HttpURLConnection stub
- •6.4.3 Running the test
- •6.5 Summary
- •7.1 Introducing mock objects
- •7.2 Mock tasting: a simple example
- •7.3 Using mock objects as a refactoring technique
- •7.3.1 Easy refactoring
- •7.3.2 Allowing more flexible code
- •7.4 Practicing on an HTTP connection sample
- •7.4.1 Defining the mock object
- •7.4.2 Testing a sample method
- •7.4.3 Try #1: easy method refactoring technique
- •7.4.4 Try #2: refactoring by using a class factory
- •7.5 Using mocks as Trojan horses
- •7.6 Deciding when to use mock objects
- •7.7 Summary
- •8.1 The problem with unit-testing components
- •8.2 Testing components using mock objects
- •8.2.1 Testing the servlet sample using EasyMock
- •8.2.2 Pros and cons of using mock objects to test components
- •8.3 What are integration unit tests?
- •8.4 Introducing Cactus
- •8.5 Testing components using Cactus
- •8.5.1 Running Cactus tests
- •8.5.2 Executing the tests using Cactus/Jetty integration
- •8.6 How Cactus works
- •8.6.2 Stepping through a test
- •8.7 Summary
- •9.1 Presenting the Administration application
- •9.2 Writing servlet tests with Cactus
- •9.2.1 Designing the first test
- •9.2.2 Using Maven to run Cactus tests
- •9.2.3 Finishing the Cactus servlet tests
- •9.3 Testing servlets with mock objects
- •9.3.1 Writing a test using DynaMocks and DynaBeans
- •9.3.2 Finishing the DynaMock tests
- •9.4 Writing filter tests with Cactus
- •9.4.1 Testing the filter with a SELECT query
- •9.4.2 Testing the filter for other query types
- •9.4.3 Running the Cactus filter tests with Maven
- •9.5 When to use Cactus, and when to use mock objects
- •9.6 Summary
- •10.1 Revisiting the Administration application
- •10.2 What is JSP unit testing?
- •10.3 Unit-testing a JSP in isolation with Cactus
- •10.3.1 Executing a JSP with SQL results data
- •10.3.2 Writing the Cactus test
- •10.3.3 Executing Cactus JSP tests with Maven
- •10.4 Unit-testing taglibs with Cactus
- •10.4.1 Defining a custom tag
- •10.4.2 Testing the custom tag
- •10.5 Unit-testing taglibs with mock objects
- •10.5.1 Introducing MockMaker and installing its Eclipse plugin
- •10.5.2 Using MockMaker to generate mocks from classes
- •10.6 When to use mock objects and when to use Cactus
- •10.7 Summary
- •Unit-testing database applications
- •11.1 Introduction to unit-testing databases
- •11.2 Testing business logic in isolation from the database
- •11.2.1 Implementing a database access layer interface
- •11.2.2 Setting up a mock database interface layer
- •11.2.3 Mocking the database interface layer
- •11.3 Testing persistence code in isolation from the database
- •11.3.1 Testing the execute method
- •11.3.2 Using expectations to verify state
- •11.4 Writing database integration unit tests
- •11.4.1 Filling the requirements for database integration tests
- •11.4.2 Presetting database data
- •11.5 Running the Cactus test using Ant
- •11.5.1 Reviewing the project structure
- •11.5.2 Introducing the Cactus/Ant integration module
- •11.5.3 Creating the Ant build file step by step
- •11.5.4 Executing the Cactus tests
- •11.6 Tuning for build performance
- •11.6.2 Grouping tests in functional test suites
- •11.7.1 Choosing an approach
- •11.7.2 Applying continuous integration
- •11.8 Summary
- •Unit-testing EJBs
- •12.1 Defining a sample EJB application
- •12.2 Using a façade strategy
- •12.3 Unit-testing JNDI code using mock objects
- •12.4 Unit-testing session beans
- •12.4.1 Using the factory method strategy
- •12.4.2 Using the factory class strategy
- •12.4.3 Using the mock JNDI implementation strategy
- •12.5 Using mock objects to test message-driven beans
- •12.6 Using mock objects to test entity beans
- •12.7 Choosing the right mock-objects strategy
- •12.8 Using integration unit tests
- •12.9 Using JUnit and remote calls
- •12.9.1 Requirements for using JUnit directly
- •12.9.2 Packaging the Petstore application in an ear file
- •12.9.3 Performing automatic deployment and execution of tests
- •12.9.4 Writing a remote JUnit test for PetstoreEJB
- •12.9.5 Fixing JNDI names
- •12.9.6 Running the tests
- •12.10 Using Cactus
- •12.10.1 Writing an EJB unit test with Cactus
- •12.10.2 Project directory structure
- •12.10.3 Packaging the Cactus tests
- •12.10.4 Executing the Cactus tests
- •12.11 Summary
- •A.1 Getting the source code
- •A.2 Source code overview
- •A.3 External libraries
- •A.4 Jar versions
- •A.5 Directory structure conventions
- •B.1 Installing Eclipse
- •B.2 Setting up Eclipse projects from the sources
- •B.3 Running JUnit tests from Eclipse
- •B.4 Running Ant scripts from Eclipse
- •B.5 Running Cactus tests from Eclipse
- •references
- •index
Deciding when to use mock objects |
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result = null; |
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return result; |
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}
}
bClose the stream and return null if an error occurs when you’re closing it.
There are other handy uses for expectations. For example, if you have a component manager calling different methods of your component life cycle, you might expect them to be called in a given order. Or, you might expect a given value to be passed as a parameter to the mock. The general idea is that, aside from behaving the way you want during a test, your mock can also provide useful feedback on its usage.
NOTE The MockObjects project (http://www.mockobjects.com) provides some ready-made mock objects for standard JDK APIs. These mocks usually have expectations built in. In addition, the MockObjects project contains some reusable expectation classes that you can use in your own mocks.
7.6 Deciding when to use mock objects
You have seen how to create mocks, but we haven’t talked about when to use them. For example, in your tests, you have sometimes used the real objects (when you used ByteArrayInputStream in listing 7.11, for example) and sometimes mocked them.
Here are some cases in which mocks provide useful advantages over the real objects. (This list can be found on the C2 Wiki at http://c2.com/cgi/wiki?MockObject.) This should help you decide when to use a mock:
■Real object has non-deterministic behavior
■Real object is difficult to set up
■Real object has behavior that is hard to cause (such as a network error)
■Real object is slow
■Real object has (or is) a UI
164CHAPTER 7
Testing in isolation with mock objects
■Test needs to query the object, but the queries are not available in the real object (for example, “was this callback called?”)
■Real object does not yet exist
7.7Summary
This chapter has described a technique called mock objects that lets you unit-test code in isolation from other domain objects and from the environment. When it comes to writing fine-grained unit tests, one of the main obstacles is to abstract yourself from the executing environment. We have often heard the following remark: “I haven’t tested this method because it’s too difficult to simulate a real environment.” Well, not any longer!
In most cases, writing mock-object tests has a nice side effect: It forces you to rewrite some of the code under test. In practice, code is often not written well. You hard-code unnecessary couplings between the classes and the environment. It’s easy to write code that is hard to reuse in a different context, and a little nudge can have a big effect on other classes in the system (similar to the domino effect). With mock objects, you must think differently about the code and apply better design patterns, like Interfaces and Inversion of Control (IOC).
Mock objects should be viewed not only as a unit-testing technique but also as a design technique. A new rising star among methodologies called Test-Driven Development advocates writing tests before writing code. With TDD, you don’t have to refactor your code to enable unit testing: The code is already under test! (For a full treatment of the TDD approach, see Kent Beck’s book Test Driven Development.4 For a brief introduction, see chapter 4.)
Although writing mock objects is easy, it can become tiresome when you need to mock hundreds of objects. In the following chapters we will present several open source frameworks that automatically generate ready-to-use mocks for your classes, making it a pleasure to use the mock-objects strategy.
4 Kent Beck, Test Driven Development: By Example (Boston: Addison-Wesley, 2003).
In-container8testing
with Cactus
This chapter covers
■Drawbacks of mock objects when unittesting components
■Introducing testing inside the container with Cactus
■How Cactus works
165
166CHAPTER 8
In-container testing with Cactus
Good design at good times. Make it run, make it run right.
—Kent Beck, Test Driven Development: By Example
Starting with this chapter, we’ll study how to unit-test J2EE components. Unittesting components is more difficult than just testing plain Java classes. The components interact with their container, and the container services are available only when the container is running. JUnit is not designed to run inside a container like a J2EE component. So, how can we unit-test components?
This chapter examines one approach to unit-testing J2EE components: incontainer unit testing, or integration unit testing. (These concepts and terminologies were introduced by the Cactus framework.) More specifically, we’ll discuss the pros and cons of running J2EE tests inside the container using the Cactus framework (http://jakarta.apache.org/cactus/). We’ll show what can be achieved using the mock-objects approach introduced in chapter 7, where it comes up short, and how the in-container testing approach enables you to write integration unit tests.
8.1 The problem with unit-testing components
Imagine you have a web application that uses servlets, and that you wish to unittest the isAuthenticated method in listing 8.1 from a SampleServlet servlet.
Listing 8.1 Sample of a servlet method to unit-test
package junitbook.container;
import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpSession;
public class SampleServlet extends HttpServlet
{
public boolean isAuthenticated(HttpServletRequest request)
{
HttpSession session = request.getSession(false);
if (session == null)
{
return false;
}
String authenticationAttribute =
(String) session.getAttribute("authenticated");
return Boolean.valueOf( authenticationAttribute).booleanValue();
}
}