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Test-Driven Development with C++

You're reading from   Test-Driven Development with C++ A simple guide to writing bug-free Agile code

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781803242002
Length 430 pages
Edition 1st Edition
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Author (1):
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Abdul Wahid Tanner Abdul Wahid Tanner
Author Profile Icon Abdul Wahid Tanner
Abdul Wahid Tanner
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Testing MVP
2. Chapter 1: Desired Test Declaration FREE CHAPTER 3. Chapter 2: Test Results 4. Chapter 3: The TDD Process 5. Chapter 4: Adding Tests to a Project 6. Chapter 5: Adding More Confirm Types 7. Chapter 6: Explore Improvements Early 8. Chapter 7: Test Setup and Teardown 9. Chapter 8: What Makes a Good Test? 10. Part 2: Using TDD to Create a Logging Library
11. Chapter 9: Using Tests 12. Chapter 10: The TDD Process in Depth 13. Chapter 11: Managing Dependencies 14. Part 3: Extending the TDD Library to Support the Growing Needs of the Logging Library
15. Chapter 12: Creating Better Test Confirmations 16. Chapter 13: How to Test Floating-Point and Custom Values 17. Chapter 14: How to Test Services 18. Chapter 15: How to Test With Multiple Threads 19. Index 20. Other Books You May Enjoy

Test what should happen instead of how

A common problem I see is when a test tries to verify expected results by checking internal steps along the way. The test is checking how something is done. This type of test is fragile and often needs frequent updates and changes.

A better approach is to test what happens as a final result. Because then the internal steps can change and adapt as needed. The test remains valid the entire time without further maintenance.

If you find yourself going through your tests and frequently updating them, so the tests pass again, then your tests might be testing how something is done instead of what is done.

For example, in Chapter 10, The TDD Process in Depth, there’s a section called When is testing too much? that explains the idea of what to test in greater detail.

The general idea is this. Let’s say you have a function that adds a filter to a collection. If you write a test that’s focused on how the code works, then...

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