
Unit testing verifies function behavior across edge cases, such as numbers, strings, booleans, and objects, and improves maintainability by catching regressions early.
Learn test driven development by writing unit tests before code, drive implementation with tests, handle edge cases, and gain a solid, efficient codebase with integrated tests.
Create a basic testing framework and an assert function to compare inputs and outputs, then write specs to test a pluralize function with various edge cases.
Integrate jasmine into the workflow to drive test-driven development, using a spec runner and jasmine framework to define pluralize tests with describe, it, and expect.
Define unit testing as testing the smallest piece of code in isolation, verifying outputs with automated inputs and expectations, and exploring test coverage and frameworks like Jasmine.
Adopt behavior-driven expect semantics with describe blocks to define code behavior, embrace duplication for isolation, and run unit suites on client or server with Mocha or Jasmine.
Explore how unit testing with Jasmine supports behavior-driven development, descriptive test outputs, modular code, set up and tear down, and continuous integration in development workflows.
Discover test driven development as an approach to building software, using the red green refactor cycle: write a failing unit test, make it pass, then refactor.
Wrap up the introduction to unit testing by appreciating your progress and continuing your learning journey with our online courses, including the full stack javascript bootcamp at refactoru.com.
Testing and debugging are places where developers spend a lot of their time. Code doesn’t always perform as expected and, with complex applications, it’s very easy to break code with minor changes. Unit tests and test-driven-development exist to help us manage expectations of our functionality and to ensure that other developers working on our code are aware when a change they made affects already existing functionality. This is very important when working on large projects with many collaborators as well as small projects with few developers.
We’ll be pre-writing tests in code that we can run whenever we make updates to our application. This will ensure that no new logic breaks old logic, and that we are certain that our programs are executing properly when given different inputs.
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