AI-Driven Software Testing: Transforming Software Testing with Artificial Intelligence and Machine Learning

AI meets modern software testing

AI-Driven Software Testing: Transforming Software Testing with Artificial Intelligence and Machine Learning takes a clear, practical look at how AI and machine learning are changing quality engineering. Rather than treating testing as a static checklist, the book follows the shift toward more adaptive, data-aware, and responsive testing workflows.

The result is a title that speaks directly to the pressures of modern software delivery: faster release cycles, more complex systems, and the growing need to focus testing effort where it matters most. Srinivasa Rao Bittla frames that transition through the lens of quality engineering, showing how AI can support smarter test generation, stronger defect detection, and better decision-making across the testing lifecycle.

What the book covers

• The evolution from manual testing to automation and AI-assisted approaches
• The role of quality engineering in modern software development
• How AI and ML can support test planning, execution, and monitoring
• Intelligent test case development and predictive defect analysis
• The relationship between SDLC, STLC, and AI-driven testing practices
• Practical challenges involved in adopting AI within testing teams

A focused guide for testing teams

This book is especially relevant for quality engineers, testers, developers, and software professionals who want a grounded introduction to AI-driven testing without losing sight of real-world delivery concerns. It reads like a roadmap for teams that are already feeling the limits of traditional approaches and want to understand what AI can realistically add.

Why it stands out

What makes this title useful is its balance: it looks at the promise of AI in testing, but it also keeps the operational reality in view. That makes it a strong fit for readers who want context, terminology, and implementation ideas in one place.

If you are building, managing, or modernizing a software testing workflow, this ebook offers a timely and structured overview of where AI-driven quality engineering is headed.