Software Testing with Generative AI

· 销售商:Simon and Schuster
电子书
304
符合条件

关于此电子书

Speed up your testing and deliver exceptional product quality with the power of AI tools.

The more you test, the more you learn about your software. Software Testing with Generative AI shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time.

In Software Testing with Generative AI you’ll learn how to:

• Spot opportunities to improve test quality with AI
• Construct test automation with the support of AI tools
• Formulate new ideas during exploratory testing using AI tools
• Use AI tools to aid the design process of new features
• Improve the testability of a context with the help of AI tools
• Maximize your output with prompt engineering
• Create custom LLMs for your business’s specific needs

Software Testing with Generative AI is full of hype-free advice for supporting your software testing with AI. In it, you’ll find strategies from bestselling author Mark Winteringham to generate synthetic testing data, implement automation, and even augment and improve your test design with AI.

Foreword by Nicola Martin.

About the technology

There’s a simple rule in software testing: the more you test, the more you learn. And as any testing pro will tell you, good testing takes time. By integrating large language models (LLMs) and generative AI into your process, you can dramatically automate and enhance testing, improve quality and coverage, and deliver more meaningful results.

About the book

Software Testing with Generative AI shows you how AI can elevate every aspect of testing—automation, test data management, test scripting, exploratory testing, and more! Learn how to use AI coding tools like Copilot to guide test-driven development, get relevant feedback about your applications from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll soon have higher-quality testing that takes up less of your time.

What's inside

• Improve test quality and coverage
• AI-powered test automation
• Build agents that act as testing assistants

About the reader

For developers, testers, and quality engineers.

About the author

Mark Winteringham is an experienced software tester who teaches many aspects of software testing. He is the author of Testing Web APIs.

The technical editor on this book was Robert Walsh.

Table of Contents

Part 1
1 Enhancing testing with large language models
2 Large language models and prompt engineering
3 Artificial intelligence, automation, and testing
Part 2
4 AI-assisted testing for developers
5 Test planning with AI support
6 Rapid data creation using AI
7 Accelerating and improving UI automation using AI
8 Assisting exploratory testing with artificial intelligence
9 AI agents as testing assistants
Part 3
10 Introducing customized LLMs
11 Contextualizing prompts with retrieval-augmented generation
12 Fine-tuning LLMs with business domain knowledge
Appendix A Setting up and using ChatGPT
Appendix B Setting up and using GitHub Copilot
Appendix C Exploratory testing notes

作者简介

Mark Winteringham is the DojoBoss at Ministry of Testing. He teaches many aspects of software testing, and he supports and curates testing training from others in the testing community. He is the co-founder of Automation in Testing and Ministry of Testing Essentials training pathways.

为此电子书评分

欢迎向我们提供反馈意见。

如何阅读

智能手机和平板电脑
只要安装 AndroidiPad/iPhone 版的 Google Play 图书应用,不仅应用内容会自动与您的账号同步,还能让您随时随地在线或离线阅览图书。
笔记本电脑和台式机
您可以使用计算机的网络浏览器聆听您在 Google Play 购买的有声读物。
电子阅读器和其他设备
如果要在 Kobo 电子阅读器等电子墨水屏设备上阅读,您需要下载一个文件,并将其传输到相应设备上。若要将文件传输到受支持的电子阅读器上,请按帮助中心内的详细说明操作。