You're reading from How to Test a Time Machine

Product type Book

Published in Mar 2023

Publisher Packt

ISBN-13 9781801817028

Pages 384 pages

Edition 1st Edition

Languages

Concepts

Test Driven Development

Author (1):

Noemí Ferrera

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

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

Why subscribe?

17. Other Books You May Enjoy

Appendix – Self-Assessment

Assessment

Testing AI apps

Now that you have a better understanding of the different types of learning and AI approaches, you should be able to guess that there are just as many different types of AI applications. In the previous section, we saw some of those types when we reviewed using AI for creating apps for testing.

Types of AI apps

Let us group them into the different types of learning so that we can think of ways of testing them.

Supervised learning apps

As we mentioned previously, these applications get the inputs and outputs to produce a result. Classifiers, such as the test case analyzer that we reviewed in the previous section, are examples of these types of apps.

In these apps, the AI test itself is done as part of the AI automation phase. Therefore, there is nothing to do in this aspect from a quality team’s perspective. The app should be tested as any other application, checking for performance, accessibility, usability, and every other aspect of the app itself...