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Building an API Product

You're reading from   Building an API Product Design, implement, release, and maintain API products that meet user needs

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Product type Paperback
Published in Jan 2024
Last Updated in Jan 2024
Publisher Packt
ISBN-13 9781837630448
Length 278 pages
Edition 1st Edition
Concepts
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Author (1):
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Bruno Pedro Bruno Pedro
Author Profile Icon Bruno Pedro
Bruno Pedro
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Table of Contents (26) Chapters Close

Preface 1. Part 1:The API Product
2. Chapter 1: What Are APIs? FREE CHAPTER 3. Chapter 2: API User Experience 4. Chapter 3: API-as-a-Product 5. Chapter 4: API Life Cycle 6. Part 2:Designing an API Product
7. Chapter 5: Elements of API Product Design 8. Chapter 6: Identifying an API Strategy 9. Chapter 7: Defining and Validating an API Design 10. Chapter 8: Specifying an API 11. Part 3:Implementing an API Product
12. Chapter 9: Development Techniques 13. Chapter 10: API Security 14. Chapter 11: API Testing 15. Chapter 12: API Quality Assurance 16. Part 4:Releasing an API Product
17. Chapter 13: Deploying the API 18. Chapter 14: Observing API Behavior 19. Chapter 15: Distribution Channels 20. Part 5:Maintaining an API Product
21. Chapter 16: User Support 22. Chapter 17: API Versioning 23. Chapter 18: Planning for API Retirement 24. Index 25. Other Books You May Enjoy

Behavioral testing

API QA behavioral testing is an approach that has the goal of verifying how an API behaves under different conditions and in different scenarios. Behavioral testing helps ensure that the API works according to its specifications and the standards and regulations it needs to comply with. Behavioral testing is one or a combination of different types of tests, such as the ones you’ve been reading about. Let’s look closely at some types of tests that you were not covered before and how they influence the QA process.

While most testing verifies if the API successfully performs its operations, error handling tests do just the opposite. With error handling tests, you can verify how the API manages errors and exceptions. By intentionally triggering faulty requests, you can see what errors are produced and how the API handles the situation. Your goal is to validate not just the error that is returned for each faulty request – if an error is returned...

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