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API Testing and Development with Postman

You're reading from   API Testing and Development with Postman A practical guide to creating, testing, and managing APIs for automated software testing

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800569201
Length 340 pages
Edition 1st Edition
Tools
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Author (1):
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Dave Westerveld Dave Westerveld
Author Profile Icon Dave Westerveld
Dave Westerveld
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Table of Contents (19) Chapters Close

Preface 1. Section 1: API Testing Theory and Terminology
2. Chapter 1: API Terminology and Types FREE CHAPTER 3. Chapter 2: Principles of API Design 4. Chapter 3: OpenAPI and API Specifications 5. Chapter 4: Considerations for Good API Test Automation 6. Section 2: Using Postman When Working with an Existing API
7. Chapter 5: Understanding Authorization Options 8. Chapter 6: Creating Test Validation Scripts 9. Chapter 7: Data-Driven Testing 10. Chapter 8: Running API Tests in CI with Newman 11. Chapter 9: Monitoring APIs with Postman 12. Chapter 10: Testing an Existing API 13. Section 3: Using Postman to Develop an API
14. Chapter 11: Designing an API Specification 15. Chapter 12: Creating and Using a Mock Server in Postman 16. Chapter 13: Using Contract Testing to Verify an API 17. Chapter 14: Design and Create an API 18. Other Books You May Enjoy

Defining data-driven testing

Data-driven testing is not unique to API tests. It can be used in other types of automation as well. For example, you could set up UI tests or even unit tests to use data-driven testing techniques. In this section, I will explain what data-driven testing is. I will also teach you some principles that you can use to create good inputs for data-driven tests. In addition, this section will cover how to set up good test comparisons and how to set up the outputs for data-driven tests. But what exactly is data-driven testing?

Essentially, this technique involves creating a table of inputs that map to expected outputs and then running those inputs through the system under test and checking whether the outputs of the tests match the outputs in the table. You may also hear this test technique described as table-driven testing or parameterized testing.

That is all a bit abstract, so let me try to explain it with an example to help you understand what this...

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