Build Your Own Test Framework: A Practical Guide to Writing Better Automated Tests
Author: Daniel Irvine (Author)
Publisher finelybook 出版社: Apress
Edition 版本: 1st ed. edition
Publication Date 出版日期: 2023-03-10
Language 语言: English
Print Length 页数: 296 pages
ISBN-10: 1484292464
ISBN-13: 9781484292464
Book Description
Book Description
From the Back Cover
Learn to write better automated tests that will dramatically increase your productivity and have fun while doing so. This book is a build-your-own adventure designed for individual reading and for collaborative workshops.
You will build an xUnit automated test framework using JavaScript: initially a clone of Jest, but adding a couple of neat features borrowed from RSpec, the genre-defining tool for behavior-driven development (BDD). Along the way, you will explore the philosophy behind automated testing best practices. The automated test runner is one of the most important innovations within software engineering. But for many programmers, automated testing remains a mystery, and knowing how to write good tests is akin to sorcery.
As the chapters of this book unfold, you will see how the humble test runner is an elegant and simple piece of software. Each chapter picks a single feature to build, like the “it” function or the “beforeEach” block. It picks apart the theory of why the feature needs to exist, and how to use it effectively in your own test suites. Every chapter ends with a set of ideas for extension points should you wish to explore further, alone or in groups. The book culminates in an implementation of test doubles and mocks―one of the most difficult and misunderstood concepts within automated testing.
By the end of the book, you will have gained a solid understanding of automated testing principles that you can immediately apply to your work projects.
You will:
You will build an xUnit automated test framework using JavaScript: initially a clone of Jest, but adding a couple of neat features borrowed from RSpec, the genre-defining tool for behavior-driven development (BDD). Along the way, you will explore the philosophy behind automated testing best practices. The automated test runner is one of the most important innovations within software engineering. But for many programmers, automated testing remains a mystery, and knowing how to write good tests is akin to sorcery.
As the chapters of this book unfold, you will see how the humble test runner is an elegant and simple piece of software. Each chapter picks a single feature to build, like the “it” function or the “beforeEach” block. It picks apart the theory of why the feature needs to exist, and how to use it effectively in your own test suites. Every chapter ends with a set of ideas for extension points should you wish to explore further, alone or in groups. The book culminates in an implementation of test doubles and mocks―one of the most difficult and misunderstood concepts within automated testing.
By the end of the book, you will have gained a solid understanding of automated testing principles that you can immediately apply to your work projects.
You will:
- Build an xUnit automated test framework
- See how an automated test runner works
- Understand the best practices for automated unit testing
- Effectively use test doubles and mocks
About the Author
Daniel Irvine is a freelance software developer based in London. He works with a variety of languages including C#, Clojure, JavaScript, and Ruby. When he’s not working, he spends time cooking, gardening and practicing yoga. He co-founded the Queer Code London meetup and is an active member of the European software craft community.
下载地址
PDF, EPUB | 4 MB | 2023-03-15
未经允许不得转载:finelybook » Build Your Own Test Framework: A Practical Guide to Writing Better Automated Tests
相关推荐
The Nature of Code: Simulating Natural Systems with JavaScript
AWS Certified Data Engineer Study Guide: Associate (DEA-C01) Exam
Beginning Spring AI: A Quick Guide to AI Engineering in Spring
Common Circuits: Hacking Alternative Technological Futures
The Techno-Legal Dynamics of Cyber Crimes in Industry 5.0
Safety Assurance under Uncertainties: From Software to Cyber-Physical/Machine Learning Systems
链接?
已更新