Books > Computing & IT > General theory of computing > Systems analysis & design
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Designing Software Architectures - A Practical Approach (Hardcover)
Loot Price: R1,353
Discovery Miles 13 530
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Designing Software Architectures - A Practical Approach (Hardcover)
Series: SEI Series in Software Engineering
Expected to ship within 10 - 15 working days
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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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