Book Image

How to Test a Time Machine

By : Noemí Ferrera
Book Image

How to Test a Time Machine

By: Noemí Ferrera

Overview of this book

From simple websites to complex applications, delivering quality is crucial for achieving customer satisfaction. How to Test a Time Machine provides step-by-step explanations of essential concepts and practical examples to show you how you can leverage your company's test architecture from different points in the development life cycle. You'll begin by determining the most effective system for measuring and improving the delivery of quality applications for your company, and then learn about the test pyramid as you explore it in an innovative way. You'll also cover other testing topics, including cloud, AI, and VR for testing. Complete with techniques, patterns, tools, and exercises, this book will help you enhance your understanding of the testing process. Regardless of your current role within development, you can use this book as a guide to learn all about test architecture and automation and become an expert and advocate for quality assurance. By the end of this book, you'll be able to deliver high-quality applications by implementing the best practices and testing methodologies included in the book.
Table of Contents (19 chapters)
1
Part 1 Getting Started – Understanding Where You Are and Where You Want to Go
6
Part 2 Changing the Status – Tips for Better Quality
10
Part 3 Going to the Next Level – New Technologies and Inspiring Stories
Appendix – Self-Assessment

Summary

In this chapter, we reviewed AI, a concept that is getting more and more popular across all computing areas as more powerful machines and new algorithms that use that power get developed.

We started this chapter by exploring the foundations of AI and why it's important to know about this. Then, we reviewed some general knowledge about technical concepts related to AI.

We also saw some AI tools that could be of use for testing and learning about types of AI apps and the specifics of each type when it comes to testing them.

We completed the analyzer that we reviewed in the previous chapter with machine learning and looked at the difference between the two systems and when you should opt for one or the other.

We also looked at some examples related to reinforcement learning, which could be useful for finding solutions in games and other applications.

Finally, we talked briefly about tools for AI and other projects that could be of interest.

In the next chapter...