Fundamentals 7 min read

Understanding Unit Testing with C# Examples and the Need for Automated Tests in CI/CD Pipelines

This article explains what unit testing is, provides C# code examples for a simple calculator, and discusses four reasons why automated unit tests should run in CI/CD pipelines to improve development speed, prevent regressions, and protect code written by other developers.

Continuous Delivery 2.0
Continuous Delivery 2.0
Continuous Delivery 2.0
Understanding Unit Testing with C# Examples and the Need for Automated Tests in CI/CD Pipelines

Unit testing is a small piece of code that verifies the logic of application code, enabling fast in‑memory testing and a closed feedback loop for developers.

The following C# example defines a Calculator class with Add and Subtract methods:

namespace WebDevTutor
{
    public static class Calculator
    {
        public static int Add(int addend1, int addend2)
        {
            return addend1 + addend2;
        }
        public static int Subtract(int minuend, int subtrahend)
        {
            return minuend - subtrahend;
        }
    }
}

Corresponding unit tests using xUnit demonstrate the basic pattern of arrange‑act‑assert:

using Xunit;
namespace WebDevTutor.Tests
{
    public class CalculatorTests
    {
        [Fact]
        public void Add_ShouldReturn4When2And2AreAdded()
        {
            // Arrange
            int expectedSum = 4;
            // Act
            var sum = Calculator.Add(2, 2);
            // Assert
            Assert.Equal(expectedSum, sum);
        }

        [Fact]
        public void Subtract_ShouldReturn90When10IsSubtractedFrom100()
        {
            // Arrange
            int expectedDifference = 90;
            // Act
            var difference = Calculator.Subtract(100, 10);
            // Assert
            Assert.Equal(expectedDifference, difference);
        }
    }
}

Running automated unit tests in a CI/CD pipeline provides four key benefits: a rapid developer feedback loop, pre‑validation of changes, step‑by‑step confidence, and reduction of the “another developer wrote this code” problem.

Unit tests speed up verification, allowing developers to add a test in under 10 ms, catch regressions early, and protect both their own and colleagues' code, especially when onboarding new developers or handling high‑priority bugs.

In summary, automated unit tests are essential for maintaining code quality, preventing regressions, and enabling continuous delivery without sacrificing development speed.

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ci/cdAutomated Testingsoftware developmentCunit testing
Continuous Delivery 2.0
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