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

Do not kill the mockingbird – how to level up your unit testing with mocking

The goal of unit testing is to make sure that a particular unit of code works on its own, but if you are using a library, it could be hard to force that library to return a specific value or values to ensure that the code developed using it works on its own. Let’s see that with an example. Imagine your code does not have access to the internet, and, therefore, the following piece will break if tested directly:

import requests
def invoke_get() -> bool:
       response = requests.get("")
       if response.status_code == 200:
          return True
     return False


Don’t panic about this code; we will explain requests and responses in the next chapter.

To test this unit, we...