You're reading from How to Test a Time Machine A practical guide to test architecture and automation

Product type Paperback

Published in Mar 2023

Publisher Packt

ISBN-13 9781801817028

Length 384 pages

Edition 1st Edition

Concepts

Test Driven Development

Author (1):

Noemí Ferrera

View More author details

Table of Contents (19) Chapters

Preface

1. Part 1 Getting Started – Understanding Where You Are and Where You Want to Go

2. Chapter 1: Introduction – Finding Your QA Level FREE CHAPTER

3. Chapter 2: The Secret Passages of the Test Pyramid – The Base of the Pyramid

4. Chapter 3: The Secret Passages of the Test Pyramid – the Middle of the Pyramid

5. Chapter 4: The Secret Passages of the Test Pyramid – the Top of the Pyramid

6. Part 2 Changing the Status – Tips for Better Quality

7. Chapter 5: Testing Automation Patterns

8. Chapter 6: Continuous Testing – CI/CD and Other DevOps Concepts You Should Know

9. Chapter 7: Mathematics and Algorithms in Testing

10. Part 3 Going to the Next Level – New Technologies and Inspiring Stories

11. Chapter 8: Artificial Intelligence is the New Intelligence

12. Chapter 9: Having Your Head up in the Clouds

13. Chapter 10: Traveling Across Realities

14. Chapter 11: How to Test a Time Machine (and Other Hard-to-Test Applications)

15. Chapter 12: Taking Your Testing to the Next Level

16. Index

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17. Other Books You May Enjoy

Appendix – Self-Assessment

Assessment

Other cool AI projects and tools

AI tools and projects are growing exponentially, so, by the time you read this chapter, there will probably be many more than the ones discussed here. However, we will look at some of them here to get you started. In this section, we will explore other tools for AI, then discuss ways of learning more about this in case you want to get more general knowledge to create your own tools.

Other tools for AI

While working on previous projects could help you gain more knowledge of AI and how it can be related to testing, there are already many tools on the market that you could use directly to aid you with your AI-related issues. Instead of reinventing the wheel, try looking around and finding the one that could be adjusted to meet your specific needs. We mentioned some of them in the AI for testing section of this chapter.

We can recommend Python as the language to use if you are starting with AI tooling due to its ease of use and small learning curve...