Simplifying Mock Object Testing

Facilitated by Tom Adams

Overview

• Tom walked through setting up a unit test using mocks (using JMock 1).
• He demonstrated how hard it can be to read even the most simple interactions due to the amount of scaffolding required
• The group contributed to DRYing up the scaffolding
• A superclass for mock object testing was created to house the simplified scaffolding
• The unit tests became so simple that they appeared to simply be duplicating production code
• Tom's original blog entry on the topic

Tools people mentioned

• JMock 1
• JMock2 wraps “mock” and “controller” in one
  • Side effect: need to have some way of explicitly moving from expectation-setting mode and replay mode. JMock2 is closer to the EasyMock style of explicit value seeding and method replay.
• EasyMock
• RMock
• PicoUnit

Summary / comments

• DRY up your mock setup
• Create methods that express intent, e.g. Stack stack = makeMock(Stack.class);
• Put these methods into an abstract testing class (e.g. MockObjecTestCase) for reuse
• Use annotations to further reduce scaffolding and make roles more explicit (auto mocking)
• At some point, the behavioural tests mirror production code and perhaps for non-state-based testing at some point the value is reduced

Process

The example uses jMock 1.2, though the same process has been successfully applied to EasyMock 2.

1. Initial state

Creating a class that requires the use of a stack.

TODO

2. Lose the controller, only deal with the mock

TODO

3. Pull mocks & subject out as fields

TODO

Note. You may need to {{reset()} the mocks between tests if you use a framework such as TestNG that doesn't create a new instance of the test case for each test method (i.e. mocks will share state).

4. Automocking

TODO

5. Use a framework that does all this for you

If all this is too much hard work, you have a couple of options. Push the code out into a class & delegate or push into a super class and (in JUnit) auto-create from .

Even easier, use a framework that does all this for you such as Instinct or Boost.

{{ package com.googlecode.instinct.example.stack;

import static com.googlecode.instinct.expect.Mocker12.expects; import static com.googlecode.instinct.expect.Mocker12.mock; import static com.googlecode.instinct.expect.Mocker12.same; import static com.googlecode.instinct.expect.Mocker12.verify; import com.googlecode.instinct.internal.util.Suggest; import com.googlecode.instinct.marker.annotate.AfterSpecification; import com.googlecode.instinct.marker.annotate.BeforeSpecification; import com.googlecode.instinct.marker.annotate.Dummy; import com.googlecode.instinct.marker.annotate.Context; import com.googlecode.instinct.marker.annotate.Mock; import com.googlecode.instinct.marker.annotate.Specification; import com.googlecode.instinct.marker.annotate.Subject;

@Context public final class MagazinePileContext {

   @Dummy private Magazine magazine;
   @Mock private Stack<Magazine> stack;
   @Subject private MagazinePile magazinePile;

   @BeforeSpecification
   public void setup() {
       magazinePile = new MagazinePileImpl(stack);
   }

   @Specification
   void callsPushOnStackWhenAddAMagazineIsAddedToThePile() {
       expects(stack).method("push").with(same(magazine));
       magazinePile.addToPile(magazine);
   }

} }}

What next?

• Annotations for defining the role of the test doubles; mocks, dummies, stubs, etc.
• Better framework support for partials, etc.
• Auto-creation of test subject - if constructor takes fields that are mocked out in the test can auto-create the test subject.
• Auto-injection of Spring/Guice/Pico beans.
• Auto-creation of arrays filled with mocks.
• Auto triangulation - Framework takes care of creating (sensible) random values in order to drive out correct code.
• ...?

Downsides

• Lack of explicitness - as you don't have the code in every test, need to go hunting for how things are created.
• Investment in understanding the mocking infrastructure; lifecycle, etc.
• Need to roll your own or use a non-"standard" framework such as Instict.