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Angular Design Patterns and Best Practices

You're reading from   Angular Design Patterns and Best Practices Create scalable and adaptable applications that grow to meet evolving user needs

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781837631971
Length 270 pages
Edition 1st Edition
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Author (1):
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Alvaro Camillo Neto Alvaro Camillo Neto
Author Profile Icon Alvaro Camillo Neto
Alvaro Camillo Neto
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Table of Contents (19) Chapters Close

Preface 1. Part 1: Reinforcing the Foundations
2. Chapter 1: Starting Projects the Right Way FREE CHAPTER 3. Chapter 2: Organizing Your Application 4. Chapter 3: TypeScript Patterns for Angular 5. Chapter 4: Components and Pages 6. Chapter 5: Angular Services and the Singleton Pattern 7. Part 2: Leveraging Angular’s Capabilities
8. Chapter 6: Handling User Inputs: Forms 9. Chapter 7: Routes and Routers 10. Chapter 8: Improving Backend Integrations: the Interceptor Pattern 11. Chapter 9: Exploring Reactivity with RxJS 12. Part 3: Architecture and Deployment
13. Chapter 10: Design for Tests: Best Practices 14. Chapter 11: Micro Frontend with Angular Elements 15. Chapter 12: Packaging Everything – Best Practices for Deployment 16. Chapter 13: The Angular Renaissance 17. Index 18. Other Books You May Enjoy

What to test

Within a software project, we can do several types of tests to ensure the quality of the product. In this discipline, it is very common to categorize tests using a pyramid.

Figure 10.1 – Test pyramid

Figure 10.1 – Test pyramid

At the base of the pyramid, we have unit tests, whose objective is to verify the quality of the smallest elements within a software project, such as functions or methods of a class. Due to their narrow scope and atomic nature, they are quickly executed by tools and should ideally make up the majority of an application’s tests.

In the middle layer, we have integration tests, which are focused on verifying how the project components interact with each other, being able, for example, to test an API through an HTTP request. Because these tests use more elements and need certain environmental requirements, they are less performant and have a higher execution cost, which is why we see them in smaller quantities compared to unit tests...

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