Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Test-Driven Development in Go

You're reading from   Test-Driven Development in Go A practical guide to writing idiomatic and efficient Go tests through real-world examples

Arrow left icon
Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803247878
Length 342 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Adelina Simion Adelina Simion
Author Profile Icon Adelina Simion
Adelina Simion
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: The Big Picture
2. Chapter 1: Getting to Grips with Test-Driven Development FREE CHAPTER 3. Chapter 2: Unit Testing Essentials 4. Chapter 3: Mocking and Assertion Frameworks 5. Chapter 4: Building Efficient Test Suites 6. Part 2: Integration and End-to-End Testing with TDD
7. Chapter 5: Performing Integration Testing 8. Chapter 6: End-to-End Testing the BookSwap Web Application 9. Chapter 7: Refactoring in Go 10. Chapter 8: Testing Microservice Architectures 11. Part 3: Advanced Testing Techniques
12. Chapter 9: Challenges of Testing Concurrent Code 13. Chapter 10: Testing Edge Cases 14. Chapter 11: Working with Generics 15. Assessments 16. Index 17. Other Books You May Enjoy

Code robustness

In Chapter 4, Building Efficient Test Suites, we discussed the types of variable values that our testing strategies should cover. Among these values, we identified three types of test cases covering our parameters:

  • Base cases
  • Edge cases
  • Boundary cases

We further identified corner cases that occur when multiple input variables are supplied with edge case values. We should write test cases that cover a broad range of values for the inputs supplied to our functions.

In the world of microservice architectures, we often don’t have control over which values are supplied to our services and functions, so the code we write should be stable under a variety of scenarios. In order to achieve this stability, we should implement a well-designed, well-tested robust code base.

Code robustness is an often overlooked quality that can help us achieve code that will remain stable even as it changes and goes through refactoring cycles. Figure 10.1...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at ₹800/month. Cancel anytime