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

Putting it all together

By now, you should be able to tell which one of the models is best for you. However, keep in mind that all of them (besides the PFM, which we consider an antipattern) are combinable.

Here is how it would look if all the models were working together:

Figure 5.10: Example of models working together

Figure 5.10: Example of models working together

With this, we could have multiple IDs for an object, including screenshots with different resolutions, and the pages would be handled by different agents, which could be called in different servers by the model. This would create powerful, maintainable, and scalable automation.

Whilst having all these models together might not be the right solution for all applications, we have displayed here that we have the flexibility of combining them to best fit our needs. In the next section, we will cover how to automate code repetition in these models so that we can have maintainable, well-designed code that is not tedious to write.