Books

Dokumentation für ein Software-System ist aufwändig, teuer und mach keinen Spass?Schlechte Dokumentation ist teuer! Und dass Sie Dokumentation mit dem richtigen Ansatz leicht leicht erstellen und pflegen können, zeigen wir Ihnen in diesem Buch über den Docs-as-Code Ansatz.

A project-driven approach to practical Haskell development. Start from zero lines of code and finish with a working CI Server. Step by step. One type error at a time.

What is a good software architecture? Why should we bother structuring the code and spending time testing it? If you like spending hours debugging your programs or staying late at the office to recover from a buggy deploy in production this book is definitely NOT for you!

Discover how Java developers can contribute to a sustainable future. Written by Java Champions and community experts, this collaborative guide explores practical approaches to sustainable software engineering, from resource-efficient design to mindful architecture, empowering you to reduce your environmental impact while building better systems.

The easiest (and shortest) entry point to Event Storming and Domain-Driven Design you will find for free. I designed this book to be as close to a workshop experience as possible, and I did my best to make it so. Instead of focusing solely on abstract concepts, you will follow a real-world case study throughout the chapters.

Professionals require tools to perform their jobs effectively. Product designers, Salespeople, Managers, and Software Developers all have tools. What about Software Architects?

Peer-to-peer (P2P) networks are fascinating! P2P networks can scale to thousands, millions or even billions of individual peers collaborating without a central, coordinating entity. These peers can be run by individuals or organizations - each contributing resources towards the total capacity of the network. This book explores how!

In diesem Primer erklären wir Data Mesh aus der Engineering-Perspektive.

You know how to build classes in Protégé. But do you know when to attach meaning — and when to wait?Volume 4 of "Mastering Ontology Engineering" introduces SKDL: the Semantic Knowledge Development Lifecycle. Seven stages. One discipline. Zero guesswork.From Aristotle to Description Logic. From taxonomy to executable knowledge.This is where pizza -> philosophy — and philosophy -> engineering.

In unethical software, not every line of code is written with good intentions. Unethical Software Engineering: Dark Patterns exposes how to manipulate users, drive profits, and evade accountability. From covert surveillance, monetization at all costs, digital fraud, ranking manipulation, all the way to unethical artificial intelligence practices, this scary book unveils how these "dark patterns" exploit human beings, erode trust, and disrupt digital ethics.Whether you're a developer, an architect, a tech enthusiast, or simply a concerned user, this book will change how you think about your daily apps — and inspire you to demand better. By helping you to draw the line between what is acceptable and what is questionable, Unethical Software Engineering: Dark Patterns shines a light on the digital dark side of software engineering where profits are prioritized over people.

In the rapidly evolving technology landscape, the ability to deploy scalable, secure, and efficient applications is paramount for businesses striving to maintain a competitive edge. Multi-tier architectures, also known as multi-layer architectures, provide a structured approach to application development that enhances these qualities. This book provides a high-level introduction to the architecture principles and services essential for building multi-tier applications on AWS.

The book describes the evolution of typical web project architecture, which grows step by step by making changes in architecture, like moving some parts to their own layers, improving error handling, and maybe rethinking how data is stored.

To write better code and build better products, we must understand why engineering and design often fail. Why is it so difficult to write bug-free code? Why do people fail to use products? And why do engineering projects so often go sideways? The answer to these questions lies in the shortcomings of human cognition and the nature of complexity.

Data Mesh is a sociotechnical approach that enables development teams to autonomously carry out data analysis. In this primer, we explain Data Mesh from the engineering perspective.

Domain Driven Design, DDD, Strategic Design, Tactical Design, Enterprise Application Development, Agile, Scrum, Event Storming, Domain Storytelling, Microservices, CQRS, Layered Architecture, OOP, SOLID, KISS, YAGNI, DRY, Gang of Four, Enterprise Application Architecture Patterns, TDD, BDD