Quality Management

AI can write code fast, but getting reliable software still starts with clear thinking. This book shows how to turn ideas into precise specifications, then use AI assistants and autonomous agents to build, test and maintain real-world software. Follow a complete project from business problem to production and learn a practical approach to AI-assisted development.

Are you a VP or Head of Engineering considering the best quality engineering model for your company? Are you a director of Engineering tasked with rolling out a Quality Coach Model? Are you a test lead or software tester shifting to a quality coach role? The Quality Coach Handbook is your practical guide to shifting to a model where the whole team owns quality and in particular software engineers design, build, test and support software. Print version: Paperback and hardcover are available on Amazon. Use your country's Amazon site (e.g., Amazon.com.au for Australia) to minimise shipping time and cost.

Build, implement and sustain an AS/EN 9100-compliant Quality Management System with confidence. This practical guide takes you from planning and implementation through certification and ongoing improvement, with clear guidance, aerospace context and insights grounded in authoritative industry sources.

AI can sound certain even when it is completely wrong. This book takes a practical approach to building RAG systems and AI agents that ground answers in evidence, verify what they generate and know when to stop. Learn how to make AI more reliable in the places where getting it wrong really matters.

Holistic testing is a comprehensive term to encompass testing throughout the development cycle from the start of an idea, through to customer interaction with a delivered feature. All members of a delivery team think about testing and quality from the beginning and throughout the cycle.  This book is about the Holistic Testing Model and how to apply it to develop a quality and testing strategy for the whole team. If you care about quality – no matter what your specialty or role in your organization is – we think you’ll find it helpful. UI/UX designers, product owners, programmers, testers, database experts, business analysts, site reliability and platform engineers, and more – this model will guide you as you collaborate to continually improve your process and product. 

STOP REACTING TO NOISE. START RESPONDING TO SIGNALS.  Measures of Success shows business leaders how. Buy the eBook here and receive exclusive digital extras

Dieser praktischer Leitfaden zeigt Ihnen, wie langjährig gewachsene Softwaresysteme effektiv analysiert und bewertet werden können.

Make ISO 45001 easier to understand and put into practice. This practical guide breaks down every clause into clear, actionable steps, helping organizations build a safety management system that works in the real world and protects people while supporting business goals.

A practical guide to turning ISO 14001:2015 from a certification exercise into a management system that delivers real results. Learn how to build an effective EMS, avoid unnecessary bureaucracy and common pitfalls and improve environmental performance while creating lasting business value.

Build a quality management system that works in the real world. This practical guide to ISO 9001:2015 takes you from the basics through implementation, certification and continual improvement, with clear explanations, practical examples and guidance on what the standard actually requires.

Static code analysis is more than running a linter and fixing warnings. This book shows how to build practical analysis pipelines with Claude Code and deterministic tools, combining AI-driven insights with reliable checks to improve code quality and security across projects of any size.

What happens when Lean Six Sigma meets software development? This practical guide shows engineering leaders and teams how to improve quality, flow and performance without losing sight of how software actually gets built. From Agile and DevOps to metrics and continuous improvement, learn what works, what doesn't and how to make change stick.

What if AI could help you find flaws in software logic before they become costly bugs? This practical guide shows you how to use Claude Code alongside proven verification tools to test assumptions, uncover hidden issues and build confidence in your code. From first principles to production workflows, learn a smarter way to verify software with AI.

Generative AI can write code fast, but fast does not always mean safe. This practical guide shows software teams how to verify, test, secure and govern AI-assisted code across the full development lifecycle. Packed with real-world examples and practical workflows, it offers a clear path to adopting AI without lowering the bar for software quality.