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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.
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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.