Unit testing is a software testing method that verifies the smallest functional parts of an application—such as functions, methods, or classes—to ensure they behave as expected in isolation. It helps catch defects early, improve code quality, and support agile and DevOps practices where code changes occur frequently.
Unit tests validate logic at the lowest level before components interact with each other. This reduces debugging time, prevents regressions, and increases confidence when modifying or deploying code.
Tests target individual units of functionality rather than entire systems.
Most unit tests run automatically using frameworks such as JUnit, pytest, NUnit, or Jest, integrating easily into CI/CD pipelines.
Each test includes defined:
Tests typically cover normal, boundary, and edge cases.
External dependencies—databases, APIs, file systems—are simulated using mocking or stubbing to ensure the test evaluates only the unit itself.
Tests are short, highly specific, and easy to troubleshoot when failures occur.
In CI/CD environments, unit tests run automatically after code commits, helping detect issues before code reaches production.
Coverage tools track how much code is exercised by tests. While high coverage isn’t a guarantee of quality, it helps identify untested logic.
A developer updates a function responsible for calculating pricing. Before merging the change, automated unit tests run to confirm the function still returns expected values under multiple scenarios.