Residues: Time, Change, and Uncertainty in Software Architecture.
Residuality Theory is a new way to think about the design of software systems that explains why we experience design the way we do, why certain things seem to work only sporadically, and why certain architects get it right so often regardless of which tools they use. A new, scientific approach is defined that fuses Software Engineering, Complexity Science, and Philosophy to produce an entirely new way to think about how to design software. The result is a theoretical base that allows architecture to finally become its own discipline.
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About
About the Book
This book provides a short, easy introduction to the subject of Residuality Theory. A revolutionary new way to think about software architecture that fuses Software Engineering, Complexity Science, and Philosophy to provide an entirely new way to think about the problem of architecting software solutions.
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Author
About the Author
Barry M O’Reilly
Barry is a veteran architect and PhD student in the area of Complexity Science and Software Design.
Episode 290
An Interview with Barry O’Reilly
Contents
Table of Contents
- Introduction
- Architecture
- What is architecture?
- Time, Uncertainty, and Change
- The Unit of Software Architecture
- Ergodicity and Hyperliminality
- Residuality
- What is Residuality?
- A Scientific Revolution
- Random simulation.
- Why Random Simulation works: The Kauffman Network.
- Attractors.
- Criticality
- Applying Residuality Theory
- The naïve architecture
- Residues
- Architecture as a collection of interrelated residues.
- Hyperliminal Coupling
- How we learn a domain.
- Architectural Walking
- Complexity Science and Systems Thinking
- Linear and Lateral Thinking.
- Walking with Stressors
- Stressors
- Stressors, Requirements, Risks, Scenarios, and Edge Cases.
- Stressor Analysis
- Coaching Stressor Analysis
- NKP Analysis With Matrices.
- Failure Mode Effects Analysis(FMEA) & Architecture Trade-off Analysis Method(ATAM)
- Empirical Test
- Over-engineering, Cost, and Agility
- Over-engineering and Cost
- Agility
- A Worked Example
- The naïve architecture
- Flow Analysis
- Stressor Analysis.
- Contagion Analysis
- Safety Nets
- Heuristics
- Conclusion
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