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  • Book Overview & Buying How to Test a Time Machine
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How to Test a Time Machine

How to Test a Time Machine

By : Noemí Ferrera
4 (5)
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How to Test a Time Machine

How to Test a Time Machine

4 (5)
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)
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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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

3D.js 169

A

abstract syntax tree (AST) 35

A/B testing 143

accord 184

AI aid testing tools

creating, with reinforcement learning 220-228

AI applications, machine learning

reinforcement learning 203, 204

semi-supervised learning 203

supervised learning 203

types 202

unsupervised learning 203

AI apps

considerations 218, 219

testing 217

types 217

AI apps, types

supervised learning apps 217, 218

unsupervised learning apps 218

AI, for testing 209

automated visual testing 210

data analysis 210

games 209

grouping tests 210

optical character recognition (OCR) 211

smart DOM finder 211

smart test balancer 211

test case analysis, with machine learning 212

test case creation and/or automation 210

voice recognition...

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