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Designing Software Architectures: A Practical Approach
Contributor(s): Cervantes, Humberto (Author), Kazman, Rick (Author)
ISBN: 0134390784     ISBN-13: 9780134390789
Publisher: Addison-Wesley Professional
OUR PRICE:   $52.24  
Product Type: Hardcover - Other Formats
Published: May 2016
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Computers | Software Development & Engineering - Systems Analysis & Design
Dewey: 005.12
LCCN: 2016005436
Series: SEI Software Engineering
Physical Information: 0.9" H x 6.5" W x 9.3" (1.20 lbs) 320 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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