Unit Tests Done Right
Write clean and rock-solid unit tests in .NET

Software Architect, Staff Engineer | .NET, C#, microservices | Design and create scalable, high-load, fault tolerant and distributed backend services and Web APIs 👨🏼💻
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Write clean and rock-solid unit tests in .NET

Software Architect, Staff Engineer | .NET, C#, microservices | Design and create scalable, high-load, fault tolerant and distributed backend services and Web APIs 👨🏼💻
What tool you are using to check test coverage? You've shared a screenshot with us but not its name :)
Ah, it's Rider, it offers this stuff out of the box. I believe Resharper has it as well.
When you check an exception message do you think it might be worth using a constant template for the error message to don't break a test just because you have changed the message, or better to have the test broken on each change of the message and amend it accordingly?
Good call. Sometimes I don't check the exception message at all, just exception type and properties (for custom exceptions).
Test Strategy for Example 2 maybe should contain checking that we don't change any other user's entity field but only password. But this could mess up the test. What do you think? What is your assessing path to decide whether include or not anything to test?
We may consider these things for testing:
I know it is out of the scope of the topic but I'd like to know your opinion, what is the strategy of using cancellation tokens in your examples. I guess the UserManager is invoked by an action (as part of a controller) and then from UserManager you call a repo and pass ct to it. Inside repo you pass ct to linq async operation. What is the benefit to do that? What is the source of the ct? Who and why might cancel the token in the presented chain of calls?
Good point! Your assumption is absolutely correct, cancellation tokens come from controllers and do the cancellation, for instance, if/when a connection between the client and the server is interrupted. In these cases we may want to cancel "get" queries while let others finish.
Alexey Zagoskin yes, agree, it is good to cancel a token when/if a connection is interrupted, but I've never used this before. Could you please refer to a web page or example about that, I mean how to detect the interruption and react.
Hi Alexey, thank you a lot for the knowledge sharing and insides, it is very interesting, keep going!
In this series we will review some best practices and must-have libraries which will get your unit tests to the next level.
How to Test LINQ and Mappings
(for the "AI detectives": yes, I type "—" on my keyboard by pressing OPT+Shift+-) It’s been a while since my last post. A lot has happened, and it’s time to share some good stuff. To be honest, I missed writing 🙂 As always, we’ll keep it dry and use...

First In First Out (FIFO) in Message Brokers
Today, let's dive into the somewhat unpredictable and potentially risky behavior of the C# 8.0 "Using Declaration" feature. As always, no boring long introduction paragraphs, let's get straight to the point! What is Using Declaration? In C# 7.0 we di...
In recent months, the buzz around AI assistants, particularly our "old new" friend ChatGPT, has been impossible to ignore. If you've ever requested it to generate code for you, chances are you received a fairly decent result. However, it likely requi...
The title may sound bold and clickbait-ish, but it is what it is... A few days ago I stumbled upon a post on LinkedIn (unfortunately, I didn't save the link) in which a programmer demonstrated his solution to a LeetCode challenge. The code was fine a...
UPDATE: The second part is now available: How to test LINQ and mappings.
There are countless articles on the web about unit tests: TDD approach, beginner's guides, mocking frameworks, test coverage tools and more. However, the vast majority of these articles are either too "Hello World"-like or focus more on tools, while missing the key point — how to write unit tests that are useful and deliver the most value. In this article I'll share some best practices, which I believe will get your unit tests to the next level.
This is an example-driven article inasmuch as, in my view, this is the best way to explain things in programming. We're going to start with a code example (a C# class plus a few unit tests for this class) and highlight some important points related to what we want to test and how we're going to do that. Then we'll review one of the many ways (my favorite one) to structure unit tests. Finally, I'll share a few awesome libraries that I use in all my test projects.
Ready? Lets' get started🍿
public class UserManager : IUserManager
{
private readonly IUserRepository _userRepository;
private readonly IUserGuard _userGuard;
public UserManager(IUserRepository userRepository, IUserGuard userGuard)
{
_userRepository = userRepository;
_userGuard = userGuard;
}
public async Task ChangeEmail(int userId, string newEmail, CancellationToken ct = default)
{
var user = await _repository.GetUser(userId, ct);
_guard.UserExists(user);
_guard.UserIsAllowedToChangeEmail(user!);
_guard.EmailIsValid(newEmail);
_guard.EmailIsNew(user!, newEmail);
user!.Email = newEmail;
await _repository.Save(user, ct);
}
}
We want to verify that all calls to IUserGuard happen in the correct order, and, most importantly, come before _repository.Save. In other words, validation has to go before the data is saved to the database.
Make sure we pass correct parameters to all methods that we call here.
Our ChangeEmail method actually calls _repository.Save.
We save the user object with the new email address.
public class UserManagerTests
{
public class ChangeEmail : UserManagerTestsBase
{
[Theory]
[AutoData]
public async Task Should_change_email(int userId,
string newEmail,
User user,
CancellationToken ct)
{
//! Arrange
Repository.GetUser(userId, ct).Returns(user);
//! Act
await Manager.ChangeEmail(userId, newEmail, ct);
//! Assert
Received.InOrder(() =>
{
Guard.Received(1).UserExists(user);
Guard.Received(1).UserIsAllowedToChangeEmail(user);
Guard.Received(1).EmailIsValid(newEmail);
Guard.Received(1).EmailIsNew(user, newEmail);
Repository.Received(1).Save(Arg.Is<User>(x => x == user &&
x.Email == newEmail),
ct);
});
}
}
public abstract class UserManagerTestsBase
{
protected readonly UserManager Manager;
protected readonly IUserRepository Repository;
protected readonly IUserGuard Guard;
protected UserManagerTestsBase()
{
Repository = Substitute.For<IUserRepository>();
Guard = Substitute.For<IUserGuard>();
Manager = new UserManager(Repository, Guard);
}
}
}
Instead of hardcoding test data, we generated random values using [AutoData] (AutoFixture.Xunit2 library).
To validate the order of method calls we used Received.InOrder(...) (NSubstitute — the best mocking library for .NET).
We used Arg.Is<User>(x => x.Email == newEmail) in order to make sure we change email address of the user before saving this object to the database.
Now we're going to add one more method to the UserManager class and unit test it.
public class UserManager : IUserManager
{
private readonly IUserRepository _repository;
private readonly IUserGuard _guard;
public UserManager(IUserRepository repository, IUserGuard guard)
{
_repository = repository;
_guard = guard;
}
// public async Task ChangeEmail(int userId, string newEmail, CancellationToken ct = default)
// {...}
public async Task ChangePassword(int userId, string newPassword, CancellationToken ct = default)
{
var user = await _repository.GetUser(userId, ct);
if (user == null)
{
throw new ApplicationException($"User {userId} not found");
}
user.Password = newPassword;
await _repository.Save(user, ct);
}
}
This method has an if statement, so we want to make sure that correct branch of code runs depending on the condition in the if statement.
Instead of ignoring the exception, we want to validate the type of the thrown exception along with its message.
Same as in the previous example, we want to verify that we pass the user object with an updated password to the _repository.Save method.
If an exception is thrown, then the _repository.Save method must not get called.
public class UserManagerTests
{
// public class ChangeEmail : UserManagerTestsBase
// {...}
public class ChangePassword : UserManagerTestsBase
{
[Theory, AutoData]
public async Task Should_throw_ApplicationException_when_user_not_found(int userId,
string newPassword,
CancellationToken ct)
{
//! Act
var action = () => Manager.ChangePassword(userId, newPassword, ct);
//! Assert
await action.Should()
.ThrowAsync<ApplicationException>()
.WithMessage($"User {userId} not found");
await Repository.DidNotReceiveWithAnyArgs().Save(Arg.Any<User>(), Arg.Any<CancellationToken>());
}
[Theory, AutoData]
public async Task Should_change_password_and_save(int userId,
string newPassword,
User user,
CancellationToken ct)
{
//! Arrange
Repository.GetUser(userId, ct).Returns(user);
//! Act
await Manager.ChangePassword(userId, newPassword, ct);
//! Assert
await Repository.Received(1).Save(Arg.Is<User>(x => x == user &&
x.Password == newPassword),
ct);
}
}
public abstract class UserManagerTestsBase
{
protected readonly UserManager Manager;
protected readonly IUserRepository Repository;
protected readonly IUserGuard Guard;
protected UserManagerTestsBase()
{
Repository = Substitute.For<IUserRepository>();
Guard = Substitute.For<IUserGuard>();
Manager = new UserManager(Repository, Guard);
}
}
}
For the ChangePassword method we have two tests: first test to validate that an exception gets thrown when a user not found, and the second one to check that we make a call to _repository.Save.
Note how we test exceptions: instead of try-catch we create a delegate to the test method and then do action.Should().ThrowAsync<ApplicationException>().
Our tests are done, now let's take a look at the unit tests coverage in order to make sure we didn't miss anything and there is no not tested code left.

To a large extent, the layout of a test project is a matter of taste. Here is the way I prefer to do this. For classes with more than one method (managers, services etc) the structure of the related class with unit tests would be as follows (Gist on GitHub):
public class MyClassTests
{
public class Method1 : MyClassTestsBase
{
[Theory]
[AutoData]
public async Task Should_return_A_when_X(parameters)
{
//! Arrange
// ...
//! Act
// ...
//! Assert
// ...
}
[Theory]
[AutoData]
public async Task Should_throw_B_when_Y(parameters)
{
//! Arrange
// ...
//! Act
// ...
//! Assert
// ...
}
}
public class Method2 : MyClassTestsBase
{
[Fact]
public async Task Should_return_A_when_X()
{
//! Arrange
// ...
//! Act
// ...
//! Assert
// ...
}
[Fact]
public async Task Should_throw_B_when_Y()
{
//! Arrange
// ...
//! Act
// ...
//! Assert
// ...
}
}
public abstract class MyClassTestsBase
{
protected readonly MyClass Instance;
protected readonly IDependency1 Dependency1;
protected readonly IDependency2 Dependency2;
protected UserManagerTestsBase()
{
Dependency1 = Substitute.For<IDependency1>();
Dependency2 = Substitute.For<IDependency2>();
Instance = new MyClass(IDependency1, IDependency2);
}
}
}
This is what it looks like in the test runner:

Unit tests structure for classes with a single method (message handlers, factories etc):
public class MyHandlerTests
{
private readonly MyHandler _handler;
public MyHandlerTests()
{
_handler = new MyHandler();
}
[Fact]
public void Should_do_A_when_X()
{
//! Arrange
//! Act
//! Assert
}
}
Alright, so we have an understanding of the key concepts of unit testing and learned the best way to structure our tests. Now let's check out a few brilliant libraries which, I'm absolutely sure, you'll love.
It’s usually a choice between xUnit, nUnit and MSTest, and my personal preference goes to the former. A while ago when Microsoft started using xUnit in its projects, this framework became a default option.
Instead of using hard coded values for tests, Autofixture can generate random data for us.
var fixture = new Fixture();
var firstName = fixture.Create<string>();
var numOfUsers = fixture.Create<int>();
var employees = fixture.CreateMany<Employee>();
Autofixture.Xunit2 nuget for [AutoData] attribute (the one we used in our examples).
There are a few mocking libraries out there, but I find this one the most explicit, natural and clean. A small bonus: NSubstitute.Analyzers — Roslyn analyzers to detect (during compilation) possible errors using NSubstitute.
Fantastic assertion framework with a very detailed and well-structured documentation.
A couple of examples taken from their docs:
string actual = "ABCDEFGHI";
actual.Should().StartWith("AB").And.EndWith("HI").And.Contain("EF").And.HaveLength(9);
IEnumerable<int> numbers = new[] { 1, 2, 3 };
numbers.Should().OnlyContain(n => n > 0);
numbers.Should().HaveCount(4, "because we thought we put four items in the collection");
Isn't it beautiful?
Stryker offers mutation testing for your .NET Core and .NET Framework projects. It allows you to test your tests by temporarily inserting bugs in your source code.
It's a very interesting tool which modifies the source code and expects tests to fail. If they don't, it complains about incomplete unit tests or poor tests coverage.
We've analyzed two simple, yet important code examples that cover the most popular scenarios of unit testing. Learned one of the ways to structure and group tests, and made a list of essential libraries that will make your tests clean, explicit and more effective.
UPDATE: The second part is now available: How to test LINQ and mappings.
Cheers!