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)
Part 1 Getting Started – Understanding Where You Are and Where You Want to Go
Part 2 Changing the Status – Tips for Better Quality
Part 3 Going to the Next Level – New Technologies and Inspiring Stories
Appendix – Self-Assessment

Sending your code to the Gym

Gym [8] is Python’s toolkit for reinforcement learning algorithms. This tool is commonly used for solving games, which could help us if we were to create test automation for games. However, it is not the only reinforcement learning tool that exists and games are not the only potential uses for it. In the previous chapter, we created an exploratory web crawler. We could create another version using reinforcement learning so that instead of telling the system where to crawl next, the system will crawl to the areas where crashes are most probable.

Creating a crawler using reinforcement learning might not be the best solution for it, but this is only an example to help us explain this concept in a friendly fashion to qualified experts and to inspire you to think out of the box concerning testing. Furthermore, keep in mind that there are some tools out there that already have crawlers built in, and you might be better off exploring purchasing such...