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Clean Code in JavaScript

You're reading from  Clean Code in JavaScript

Product type Book
Published in Jan 2020
Publisher Packt
ISBN-13 9781789957648
Pages 548 pages
Edition 1st Edition
Languages
Concepts
Author (1):
James Padolsey James Padolsey
Profile icon James Padolsey

Table of Contents (26) Chapters

Preface 1. Section 1: What is Clean Code Anyway?
2. Setting the Scene 3. The Tenets of Clean Code 4. The Enemies of Clean Code 5. SOLID and Other Principles 6. Naming Things Is Hard 7. Section 2: JavaScript and Its Bits
8. Primitive and Built-In Types 9. Dynamic Typing 10. Operators 11. Parts of Syntax and Scope 12. Control Flow 13. Section 3: Crafting Abstractions
14. Design Patterns 15. Real-World Challenges 16. Section 4: Testing and Tooling
17. The Landscape of Testing 18. Writing Clean Tests 19. Tools for Cleaner Code 20. Section 5: Collaboration and Making Changes
21. Documenting Your Code 22. Other Peoples' Code 23. Communication and Advocacy 24. Case Study 25. Other Books You May Enjoy

Creating clear hierarchies

To test any code base, we would likely need to write a large number of assertions. Theoretically, we could have a long list of assertions and nothing else. However, doing this may make it quite difficult to read, write, and analyze the reports of tests. To prevent such confusion, it is common for testing libraries to provide some scaffolding abstractions around assertions. For example, BDD-flavoured libraries such as Jasmine and Jest supply two pieces of scaffolding: the it block and the describe block. These are just functions to which we pass a description and callback, but together, they enable a hierarchical tree of tests that makes it far easier to comprehend what's going on. Testing a sum function using this pattern might be done like so:

// A singular test or "spec":
describe('sum()', () => {
it('adds two numbers...
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