Software Testing with Generative AI (Final Release)КНИГИ » ПРОГРАММИНГ
Название: Software Testing with Generative AI (Final Release) Автор: Mark Winteringham Издательство: Manning Publications Год: 2025 Страниц: 304 Язык: английский Формат: pdf, epub (true), mobi Размер: 10.5 MB
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.
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.
We are all responsible for quality and testing as part of a team, and this book follows that mindset closely. Whether you are a developer or an automator focusing on test automation, a quality engineer focusing on continuous testing, or a more traditional tester, this book explores a range of testing activities and how LLMs can help support them. However, to get the most of this book, some necessary skills are required.
If you are looking to learn how LLMs can support test automation, then it is assumed you are familiar with it. This means you should have at least basic experience with TDD and intermediate experience with unit, integration, and end-to-end test automation, as well as using integrated development environments. The code examples in this book are written in Java, so you will need to be confident in reading and writing Java.
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