Cervantes Architectures

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Designing Software Architectures

Designing Software Architectures
Author :
Publisher : Addison-Wesley Professional
Total Pages : 347
Release :
ISBN-10 : 9780134390833
ISBN-13 : 0134390830
Rating : 4/5 (830 Downloads)

Book Synopsis Designing Software Architectures by : Humberto Cervantes

Download or read book Designing Software Architectures written by Humberto Cervantes and published by Addison-Wesley Professional. This book was released on 2016-04-29 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing Software Architectures will teach you how to design any software architecture in a systematic, predictable, repeatable, and cost-effective way. This book introduces a practical methodology for architecture design that any professional software engineer can use, provides structured methods supported by reusable chunks of design knowledge, and includes rich case studies that demonstrate how to use the methods. Using realistic examples, you’ll master the powerful new version of the proven Attribute-Driven Design (ADD) 3.0 method and will learn how to use it to address key drivers, including quality attributes, such as modifiability, usability, and availability, along with functional requirements and architectural concerns. Drawing on their extensive experience, Humberto Cervantes and Rick Kazman guide you through crafting practical designs that support the full software life cycle, from requirements to maintenance and evolution. You’ll learn how to successfully integrate design in your organizational context, and how to design systems that will be built with agile methods. Comprehensive coverage includes Understanding what architecture design involves, and where it fits in the full software development life cycle Mastering core design concepts, principles, and processes Understanding how to perform the steps of the ADD method Scaling design and analysis up or down, including design for pre-sale processes or lightweight architecture reviews Recognizing and optimizing critical relationships between analysis and design Utilizing proven, reusable design primitives and adapting them to specific problems and contexts Solving design problems in new domains, such as cloud, mobile, or big data


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