Designing Software Architectures, 2nd Edition, provides a practical, step-by-step methodology for architecture design that any professional software engineer can use, with structured methods supported by reusable chunks of design knowledge and rich case studies that demonstrate how to use the methods.

The Attribute-Driven Design method may not have changed since this book's first printing, but almost everything else about the industry has. In this newly updated edition, you will find new chapters on supporting business agility through API-centric design, deployability, cloud-based solutions, and technical debt in design.

Humberto Cervantes and Rick Kazman illuminate best practices for how architects should design complex systems so you can make design decisions in systematic, repeatable, and cost-effective ways. This book will help you become a better, more confident designer who can create high-quality architectures with ease.

The new edition includes:

A clear explanation of the Attribute-Driven Design method
New chapters focused on the technical environments and contexts of contemporary design
Two new case studies on The Hotel Pricing System and Digital Twin Platform
Coverage of current architecture topics like cloud computing, DevOps, and large-scale systems
Methods to make architecture design agile and achievable

Register your product at informit.com/register for convenient access to downloads, updates, and/or corrections as they become available.

�ber die Autorin bzw. den Autor

Humberto Cervantes is a professor at Universidad Aut�noma Metropolitana Iztapalapa in Mexico City. His primary research interest is software architecture design process tool development methods. He holds the Software Architecture Professional and ATAM Evaluator certificates from the SEI.

Rick Kazman is the Danny and Elsa Lui Distinguished Professor of Information Technology Management at the University of Hawaii. He was involved in creating the ATAM (Architecture Tradeoff Analysis Method) and the Titan and DV8 tools for architecture analysis.

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