Software Testing Revolution Using AI (Paperback)
Rohit Mehta
Sold by AussieBookSeller, Truganina, VIC, Australia
AbeBooks Seller since 22 June 2007
New - Soft cover
Condition: New
Ships from Australia to U.S.A.
Quantity: 1 available
Add to basketSold by AussieBookSeller, Truganina, VIC, Australia
AbeBooks Seller since 22 June 2007
Condition: New
Quantity: 1 available
Add to basketPaperback. Modern software systems are complex, distributed, and constantly evolving-making traditional testing approaches insufficient. Software Testing Revolution Using AI explores how Artificial Intelligence is transforming Quality Engineering from script-based validation into an insight-driven, predictive engineering discipline.Written for beginner to intermediate testers and automation engineers, this book explains-without hype or heavy theory-how AI-first automation, self-healing frameworks, GPT-driven test generation, agentic workflows, and DevSecOps practices can be applied in real-world testing environments. Through practical examples and architectural thinking, readers learn how to build resilient, scalable, and secure quality systems while retaining human judgment and accountability.This book is a practical guide for professionals who want to stay relevant, lead with confidence, and engineer quality in the age of AI. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Seller Inventory # 9798902690948
Software Testing Revolution Using AI is a hands-on guide for experienced testers and quality engineers ready to evolve into the next generation of Intelligent Quality Engineering. Moving beyond surface-level AI concepts, the book shows how to practically integrate AI with real-world tools like Playwright, Selenium, MCP, CI/CD pipelines, and security scanners.
Through realistic enterprise scenarios—OTT traffic spikes, flash sales, flaky pipelines, security breaches, and AI-driven release decisions—this book demonstrates how testing transforms into predictive, risk-aware quality intelligence. Designed for professionals who already know testing and automation, this book helps you architect resilient, scalable, and AI-native quality systems that work at production scale.
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