The AutoMoq Glue Library gives AutoFixture the additional capabilities of an Auto-Mocking Container; that is, not only can it compose normal objects for you - it can also supply mock objects to your objects, should they be so required.
AutoFixture itself is not an Auto-Mocking Container, but rather a library that automates the Fixture Setup phase of the Four Phase Test pattern, as described in xUnit Test Patterns. It also enables you to automate code associated with the Test Data Builder pattern.
It was explicitly designed as an alternative to Implicit Setup, so I think it makes little sense to use it together with a setup method and mutable class field as this question suggests. In other words, the whole point of AutoFixture is that it enables you to write independent unit tests like this:
public class MyFixture
public void MyTest()
var fixture = new Fixture().Customize(new AutoMoqCustomization());
var product = fixture.Create<Product>();
// Use product, and whatever else fixture creates, in the test
You definitely can use it to test your units even when they have no dependencies, but in that case, you probably don't need the AutoMoq Customization.
The "InternalsVisibleTo" attribute is key to any sort of "white-box" (the term of the decade, I guess) testing for .Net. It can be placed in any c# file with the "assembly" attribute on the front. Note that MS DOCs say that the assembly name must be qualified by the public key token, if it is signed. Sometimes that does not work and one must use the full public key in it's place. Access to internals is key to testing concurrent systems and in many other situations. See https://www.amazon.com/xUnit-Test-Patterns-Refactoring-Code/dp/0131495054. In this book, Meszaros describes a variety of coding styles that basically constitute a "Design For Test" approach to program development. At least that's the way I've used it over the years.
Besides the xUnit-1.9.1.chm-File mentioned by Sean U and the Examples on the official xUnit.NET website I found two other resources to help me understand the basics of the work with xUnit.NET:
Sadly, as pointed out also by Sean U, it seems as there are no books at all about the xUnit.NET-Framework yet. So, for further information it looks like one has go with studying the *.chm-File and reading general books about unit testing. Or switch to another testing-framework, that's what I think I'll do...
Ognyan Dimitrov added some additional resources in his comments:
There also seems to be a book now:
Other hanselminutes episodes on testing:
Other questions like this:
I know you didn't ask for books but... Can I also mention that Beck's TDD book is a must read, even though it may seem like a dated beginner book on first flick through (and Working Effectively with Legacy Code by Michael C. Feathers of course is the bible). Also, I'd append Martin(& Martin)'s Agile Principles, Patterns & Techniques as really helping in this regard. In this space (concise/distilled info on testing) also is the excellent Foundations of programming ebook. Goob books on testing I've read are The Art of Unit Testing and xUnit Test Patterns. The latter is an important antidote to the first as it is much more measured than Roy's book is very opinionated and offers a lot of unqualified 'facts' without properly going through the various options. Definitely recommend reading both books though. AOUT is very readable and gets you thinking, though it chooses specific [debatable] technologies; xUTP is in depth and neutral and really helps solidify your understanding. I read Pragmatic Unit Testing in C# with NUnit afterwards. It's good and balanced though slightly dated (it mentions RhinoMocks as a sidebar and doesnt mention Moq) - even if nothing is actually incorrect. An updated version of it would be a hands-down recommendation.
More recently I've re-read the Feathers book, which is timeless to a degree and covers important ground. However it's a more 'how, for 50 different wheres' in nature. It's definitely a must read though.
Most recently, I'm reading the excellent Growing Object-Oriented Software, Guided by Tests by Steve Freeman and Nat Pryce. I can't recommend it highly enough - it really ties everything together from big to small in terms of where TDD fits, and various levels of testing within a software architecture. While I'm throwing the kitchen sink in, Evans's DDD book is important too in terms of seeing the value of building things incrementally with maniacal refactoring in order to end up in a better place.
Due to the use of singletons and static classes MyViewModel isn't testable. Unit testing is about isolation. If you want to unit test some class (for example, MyViewModel) you need to be able to substitute its dependencies by test double (usually stub or mock). This ability comes only when you provide seams in your code. One of the best techniques used to provide seams is Dependency Injection. The best resource for learning DI is this book from Mark Seemann (Dependency Injection in .NET).
You can't easily substitute calls of static members. So if you use many static members then your design isn't perfect.
Of course, you can use unconstrained isolation framework such as Typemock Isolator, JustMock or Microsoft Fakes to fake static method calls but it costs money and it doesn't push you to better design. These frameworks are great for creating test harness for legacy code.
About testing framework
You can use any unit testing framework you like. Even MSTest, but personally I don't recommend it. NUnit and xUnit.net are MUCH better.
Sample (using MvvmLight, NUnit and NSubstitute)
public class ViewModel : ViewModelBase
public ViewModel(IMessenger messenger)
if (messenger == null)
throw new ArgumentNullException("messenger");
MessengerInstance = messenger;
public void SendMessage()
public static class Messages
public static readonly string SomeMessage = "SomeMessage";
public class ViewModelTests
private static ViewModel CreateViewModel(IMessenger messenger = null)
return new ViewModel(messenger ?? Substitute.For<IMessenger>());
public void Constructor_WithNullMessenger_ExpectedThrowsArgumentNullException()
var exception = Assert.Throws<ArgumentNullException>(() => new ViewModel(null));
public void SendMessage_ExpectedSendSomeMessageThroughMessenger()
var messengerMock = Substitute.For<IMessenger>();
var viewModel = CreateViewModel(messengerMock);
What you are looking for is what in xUnit Test Patterns is called Test-Specific Equality.
While you can sometimes choose to override the Equals method, this may lead to Equality Pollution because the implementation you need to the test may not be the correct one for the type in general.
For example, Domain-Driven Design distinguishes between Entities and Value Objects, and those have vastly different equality semantics.
When this is the case, you can write a custom comparison for the type in question.
If you get tired doing this, AutoFixture's Likeness class offers general-purpose Test-Specific Equality. With your Student class, this would allow you to write a test like this:
public void VerifyThatStudentAreEqual()
Student st1 = new Student();
st1.ID = 20;
st1.Name = "ligaoren";
Student st2 = new Student();
st2.ID = 20;
st2.Name = "ligaoren";
var expectedStudent = new Likeness<Student, Student>(st1);
This doesn't require you to override Equals on Student.
Likeness performs a semantic comparison, so it can also compare two different types as long as they are semantically similar.
Basically, a Mock is not the real thing, so it does not have real behavior. It's not supposed to have real behavior - it's supposed to do whatever you tell it while keeping track of what happened. Nothing more and nothing less.
This means that you have to tell it how its Copy method works. If you do the following, that's the implmementation the Copy method will have:
Mock<IDataSet> dataMock = new Mock<IDataSet>();
Mock<IDataSet> copyMock = new Mock<IDataSet>();
dataMock.Setup(c => c.Copy()).Returns(copyMock.Object);
However, you can also do this:
Mock<IDataSet> dataMock = new Mock<IDataSet>();
Mock<IDataSet> copyMock = dataMock;
dataMock.Setup(c => c.Copy()).Returns(copyMock.Object);
and that, then, becomes the implementation of the Copy method. Remember: an interface is not a contract that states what the method should do; it only defines the signature of methods.
You were probably hoping to copy data from one IDataSet to another, but remember that a Mock is pure behavior; it has no data.
A couple of alternatives you can think about are the following:
You can read about Stubs, Mocks, Fakes and other unit testing design patterns in the excellent book xUnit Test Patterns.
To address both of your questions:
In both common unit test patterns (Arrange/Act/Assert, and Four-Phase Test), there will almost always be more Arrange code than Act code, since by definition, Act should only contain a single statement. However, it is still a good idea to attempt to minimize the Arrange code as much as possible.
There are more than one way to refactor Setup code into reusable code. As Alex writes in his answer, many unit testing frameworks support setup methods. This is called Implicit Fixture Setup, and in my opinion something that should be avoided, since it does not communicate intent very well. Instead, I prefer explicit setup methods, usually encapsulated into a Fixture Object.
In general, the need for complex Setup code should always cause you to consider if you can model your API differently. This is not always the case, but when it is, you often end up with a better and more concise API than you started out with. That's one of the advantages of TDD.
For the cases where setup is just complex because input is complex, I will recommend AutoFixture, which is a general-purpose Test Data Builder.
Many of the patterns I have used in this answer are described in xUnit Test Patterns, which is an excellent book.
I know that Kent Beck's book (which you mentioned) covers TDD in Python to some pretty good depth. If I remember correctly, the last half of the book takes you through development of a unit test framework in Python. There's nothing specific to web development, though, which is a problem in many TDD resources that I've read. It's a best practice to keep your business logic separate from your presentation in order to make your BL more testable, among other reasons.
Another good book that you might want to look into is xUnit Test Patterns. It doesn't use Python, but it does talk a lot about designing for testability, how to use mocks and stubs (which you'll need for testing web applications), and automating testing. It's more advanced than Beck's book, which makes it a good follow-up.