Unit Testing in .NET: Best Practices and Tools

Tapesh Mehta Tapesh Mehta | Published on: Apr 05, 2025 | Est. reading time: 6 minutes
Unit Testing in .NET Best Practices and Tools

Unit testing is a core discipline in modern software development, especially in .NET where test frameworks and tooling are well-supported. This article is aimed at developers looking to understand how to write meaningful unit tests in .NET using practical examples. We’ll focus on popular frameworks like xUnit.net and NUnit, discuss best practices, and provide sample code to demonstrate real-world use cases.

Unit testing ensures each component of your application functions correctly, independently, and remains stable as the codebase evolves. Beyond correctness, it also helps in improving design, refactoring safely, and enabling continuous integration workflows.

For developers beginning their journey into unit testing, the concepts may seem overwhelming. However, with structured steps and usage of modern tools, it becomes a powerful habit that enhances long-term code quality.

Table of Contents


What is Unit Testing?

Unit testing involves testing individual components or methods of an application in isolation. The goal is to validate that each function performs as expected under various conditions. This level of testing is the foundation of test-driven development (TDD) and supports agile methodologies.

Unit tests are:

  • Fast: Execute quickly
  • Isolated: Don’t rely on external systems (like databases or APIs)
  • Repeatable: Can be run consistently with the same results
  • Automated: Part of CI/CD pipelines

Unit testing is different from integration or end-to-end testing. Unit tests are not concerned about the interaction between multiple modules. They focus solely on the logic and output of a single method or class.


If you’re passionate about .NET and love diving into development tips and insights, check out our latest articles at WireFuture’s .NET blog.

Setting Up Unit Testing in .NET

Creating a testable structure in .NET requires separating the application logic from infrastructure code. Begin by structuring your solution into:

  • A core project (e.g., SampleApp) with your business logic
  • A test project (e.g., SampleApp.Tests) to hold your unit tests

Using .NET CLI:

mkdir SampleApp
cd SampleApp

dotnet new sln -n SampleApp

dotnet new classlib -n SampleApp

dotnet new xunit -n SampleApp.Tests

dotnet sln add SampleApp/SampleApp.csproj

dotnet sln add SampleApp.Tests/SampleApp.Tests.csproj

dotnet add SampleApp.Tests reference SampleApp

Install dependencies:

For xUnit:

dotnet add SampleApp.Tests package xunit

For NUnit:

dotnet add SampleApp.Tests package NUnit

Add Test SDK:

dotnet add SampleApp.Tests package Microsoft.NET.Test.Sdk

Ensure your SampleApp.Tests.csproj has a TargetFramework, test packages, and references set up correctly.

Basic xUnit Test Example

Here’s a simple class to demonstrate testing:

namespace SampleApp
{
    public class Calculator
    {
        public int Add(int a, int b) => a + b;
        public int Subtract(int a, int b) => a - b;
        public int Multiply(int a, int b) => a * b;
        public int Divide(int a, int b) => b != 0 ? a / b : throw new DivideByZeroException();
    }
}

Corresponding xUnit tests:

using Xunit;
using SampleApp;

public class CalculatorTests
{
    [Fact]
    public void Add_ShouldReturnCorrectSum()
    {
        var calc = new Calculator();
        Assert.Equal(5, calc.Add(2, 3));
    }

    [Fact]
    public void Subtract_ShouldReturnCorrectDifference()
    {
        var calc = new Calculator();
        Assert.Equal(2, calc.Subtract(5, 3));
    }

    [Fact]
    public void Multiply_ShouldReturnCorrectProduct()
    {
        var calc = new Calculator();
        Assert.Equal(6, calc.Multiply(2, 3));
    }

    [Fact]
    public void Divide_ShouldReturnQuotient()
    {
        var calc = new Calculator();
        Assert.Equal(2, calc.Divide(6, 3));
    }

    [Fact]
    public void Divide_ByZero_ShouldThrow()
    {
        var calc = new Calculator();
        Assert.Throws<DivideByZeroException>(() => calc.Divide(5, 0));
    }
}

NUnit Test Example

Add NUnit packages:

dotnet add package NUnit

dotnet add package NUnit3TestAdapter

dotnet add package Microsoft.NET.Test.Sdk

Create NUnit-based tests:

using NUnit.Framework;
using SampleApp;

[TestFixture]
public class CalculatorTests
{
    [Test]
    public void Add_WorksCorrectly()
    {
        var calc = new Calculator();
        Assert.AreEqual(5, calc.Add(2, 3));
    }

    [Test]
    public void Divide_ThrowsOnZero()
    {
        var calc = new Calculator();
        Assert.Throws<DivideByZeroException>(() => calc.Divide(10, 0));
    }
}

Theory and Parameterized Tests

Parameterized tests let you test the same logic with different data.

In xUnit:

[Theory]
[InlineData(1, 2, 3)]
[InlineData(-1, -2, -3)]
[InlineData(0, 0, 0)]
public void Add_MultipleScenarios(int a, int b, int expected)
{
    var calc = new Calculator();
    Assert.Equal(expected, calc.Add(a, b));
}

In NUnit:

[TestCase(1, 2, 3)]
[TestCase(-1, -2, -3)]
[TestCase(0, 0, 0)]
public void Add_MultipleInputs(int a, int b, int expected)
{
    var calc = new Calculator();
    Assert.AreEqual(expected, calc.Add(a, b));
}

Mocking Dependencies Using Moq

Use mocking for isolating unit tests from external dependencies.

Install Moq:

dotnet add package Moq

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Create interface and service:

public interface IEmailService
{
    void SendEmail(string to, string content);
}

public class NotificationService
{
    private readonly IEmailService _emailService;

    public NotificationService(IEmailService emailService)
    {
        _emailService = emailService;
    }

    public void Notify(string email)
    {
        _emailService.SendEmail(email, "Welcome!");
    }
}

Moq test:

using Xunit;
using Moq;

public class NotificationServiceTests
{
    [Fact]
    public void Notify_CallsSendEmail()
    {
        var mockEmail = new Mock<IEmailService>();
        var service = new NotificationService(mockEmail.Object);

        service.Notify("user@example.com");

        mockEmail.Verify(m => m.SendEmail("user@example.com", "Welcome!"), Times.Once);
    }
}

Test Organization Tips

  1. Folder Structure: Organize test files mirroring the source folders.
  2. Naming: Use ClassName_MethodName_ExpectedOutcome.
  3. One Assertion Rule: Makes tests easier to read.
  4. Reusability: Use setup methods or constructors for shared test initialization.
  5. Avoid Logic in Tests: Tests should validate logic, not introduce new ones.

Example of setup with xUnit:

public class SharedFixtureTests
{
    private readonly Calculator _calculator;

    public SharedFixtureTests()
    {
        _calculator = new Calculator();
    }

    [Fact]
    public void Add_Works()
    {
        Assert.Equal(7, _calculator.Add(3, 4));
    }
}

Best Practices

  • Start Small: Begin with core logic before testing complex flows.
  • Test Exceptions: Use assertions for expected failures.
  • Limit Mocking: Only mock when external dependencies are involved.
  • Build CI Pipelines: Use GitHub Actions or Azure DevOps to automate testing.
  • Review and Refactor: Clean up test code regularly for maintainability.
  • Measure Coverage: But don’t chase 100% – focus on critical logic paths.

Conclusion

Unit testing in .NET is a skill that grows with practice. From understanding the purpose of testing to applying frameworks like xUnit and NUnit, developers can significantly improve the quality of their codebase.

Start small, write meaningful tests, mock dependencies responsibly, and integrate testing into your CI/CD pipeline. Over time, tests not only prevent regressions but also serve as documentation for your logic and intent.

Whether you’re a beginner learning assertions or an intermediate developer structuring mocks, .NET offers all the tools needed to write clean, automated, and powerful unit tests. And for teams looking to scale efficiently, it’s essential to hire .NET developers who are well-versed in writing testable, maintainable code from day one.

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About Author
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Tapesh Mehta

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Tapesh Mehta is a seasoned tech worker who has been making apps for the web, mobile devices, and desktop for over 14+ years. Tapesh knows a lot of different computer languages and frameworks. For robust web solutions, he is an expert in Asp.Net, PHP, and Python. He is also very good at making hybrid mobile apps, which use Ionic, Xamarin, and Flutter to make cross-platform user experiences that work well together. In addition, Tapesh has a lot of experience making complex desktop apps with WPF, which shows how flexible and creative he is when it comes to making software. His work is marked by a constant desire to learn and change.

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