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

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...