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

Algorithms, mathematics, and testing

In this section, we will learn how and why mathematical algorithms can help with the quality of applications and their testing.

Mathematics is all around us and as it happens with many things, once you start gaining interest in it, you will see it everywhere: in the shape of plants and fruits whose leaves grow following mathematical series to find the highest amount of sunlight, in music and harmony, in the stars, in atoms, and more.

As we mentioned in the introduction, it is perfectly possible to solve programming challenges without the explicit use of mathematics. Note the word explicit here; we implicitly use mathematics in algorithms to calculate the size of data structures, perform complex calculations, etc.

However, understanding the mathematical approach could help you improve algorithms and code complexity and reduce the use of resources and data structures. This could give you an advantage while reviewing someone else’s...