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Test-Driven Development with Java

You're reading from   Test-Driven Development with Java Create higher-quality software by writing tests first with SOLID and hexagonal architecture

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803236230
Length 348 pages
Edition 1st Edition
Languages
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Author (1):
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Alan Mellor Alan Mellor
Author Profile Icon Alan Mellor
Alan Mellor
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Table of Contents (21) Chapters Close

Preface 1. Part 1: How We Got to TDD
2. Chapter 1: Building the Case for TDD FREE CHAPTER 3. Chapter 2: Using TDD to Create Good Code 4. Chapter 3: Dispelling Common Myths about TDD 5. Part 2: TDD Techniques
6. Chapter 4: Building an Application Using TDD 7. Chapter 5: Writing Our First Test 8. Chapter 6: Following the Rhythms of TDD 9. Chapter 7: Driving Design – TDD and SOLID 10. Chapter 8: Test Doubles – Stubs and Mocks 11. Chapter 9: Hexagonal Architecture –Decoupling External Systems 12. Chapter 10: FIRST Tests and the Test Pyramid 13. Chapter 11: Exploring TDD with Quality Assurance 14. Chapter 12: Test First, Test Later, Test Never 15. Part 3: Real-World TDD
16. Chapter 13: Driving the Domain Layer 17. Chapter 14: Driving the Database Layer 18. Chapter 15: Driving the Web Layer 19. Index 20. Other Books You May Enjoy

Questions and answers

The following are some questions and answers regarding this chapter’s content:

  1. Have TDD and CI/CD pipelines eliminated the need for manual testing?

No. They have changed where the value lies. Some manual processes have become irrelevant, whereas others have increased in importance. Traditionally, manual steps, such as following test documents for feature testing and regression testing, are no longer required. Running feature and regression tests has changed from writing test plans in a word processor to writing test code in an IDE. But for many human-centric tasks, having a human mind in the loop remains vital to success.

  1. Will artificial intelligence (AI) automate away the remaining tasks?

This is unknown. Advances in AI at this time (the early 2020s) can probably improve visual identification and static code analysis. It is conceivable that AI image analysis may one day be able to provide a good/bad analysis of usability ...

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