Software Testing with Generative AI

Description

Software Testing with Generative AI by Mark Winteringham is a revolutionary guide to leveraging artificial intelligence for modern software quality assurance. This book explores Software Testing with Generative AI, focusing on how AI-driven tools enhance automation, efficiency, and accuracy in testing workflows. Readers will learn cutting-edge methods for optimizing software testing strategies.

The book introduces foundational testing principles and their transformation through generative AI models, including ChatGPT, Copilot, and custom AI-driven frameworks. It explains how AI can generate test cases, automate bug detection, and improve coverage. Ebook provides hands-on techniques for integrating AI-powered solutions into existing testing environments.

Designed for QA engineers, software developers, and DevOps professionals, this book bridges the gap between traditional testing methods and AI-assisted automation. It covers natural language processing (NLP) for test case generation, AI-driven test maintenance, and self-healing test automation. Readers will explore AI’s role in continuous integration, deployment pipelines, and software security testing.

Textbook dives into real-world use cases where AI accelerates performance testing, exploratory testing, and UI/UX validation. The book discusses how AI improves test reliability, reduces false positives, and enhances regression testing. Readers will gain insight into AI ethics, bias detection, and best practices for trustworthy AI-driven testing.

This book is a must-read for professionals seeking to integrate AI into software quality assurance. It includes step-by-step tutorials, industry case studies, and future trends in AI-powered testing. Software Testing with Generative AI empowers testers to build more intelligent, adaptive, and scalable testing frameworks. It prepares readers for the next evolution of AI-driven software testing.