Just Enough Software Architecture: A Risk-driven ApproachThis is a practical guide for software developers, and different than other software architecture books. Here's why: It teaches risk-driven architecting. There is no need for meticulous designs when risks are small, nor any excuse for sloppy designs when risks threaten your success. This book describes a way to do just enough architecture. It avoids the one-size-fits-all process tar pit with advice on how to tune your design effort based on the risks you face. It democratizes architecture. This book seeks to make architecture relevant to all software developers. Developers need to understand how to use constraints as guiderails that ensure desired outcomes, and how seemingly small changes can affect a system's properties. It cultivates declarative knowledge. There is a difference between being able to hit a ball and knowing why you are able to hit it, what psychologists refer to as procedural knowledge versus declarative knowledge. This book will make you more aware of what you have been doing and provide names for the concepts. It emphasizes the engineering. This book focuses on the technical parts of software development and what developers do to ensure the system works not job titles or processes. It shows you how to build models and analyze architectures so that you can make principled design tradeoffs. It describes the techniques software designers use to reason about medium to large sized problems and points out where you can learn specialized techniques in more detail. It provides practical advice. Software design decisions influence the architecture and vice versa. The approach in this book embraces drill-down/pop-up behavior by describing models that have various levels of abstraction, from architecture to data structure design. |
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agile agile software development allocation viewtype analysis analysis paralysis Anti-pattern apply architects architectural style architecture drivers architecture models architecture-focused design boundary model build chapter choose client-server clients code model complex component assembly component instances component types concepts conceptual model connector instance constraints Contact D’Souza database describes design decisions design intent design model domain model elements encapsulation engineering risks evolutionary design example express Figure filters functionality scenario Garlan implementation internals model invariants iteration latency layers Library System master model Moby-Dick module viewtype object-oriented object-oriented programming patterns peer-to-peer pipe-and-filter port instance prioritize problem programming languages provides quality attribute scenarios refactoring refinement relationship requirements risk-driven model runtime viewtype Section server shows software architecture software development software development process Software Engineering source code spiral model structure system context diagram techniques tecture tradeoffs understand user interface views write Yinzer system