Residues: Time, Change, and Uncertainty in Software Architecture.
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Residues: Time, Change, and Uncertainty in Software Architecture.

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.

About the Author

Barry O’Reilly
Barry M O’Reilly

Barry is an architect with 25 years of experience. He has held Chief Architect positions within Microsoft as well as being the global lead for Solutions Architecture Community there. He is currently finsihing of a PhD in Complexity Science and Software Design.

Reader Testimonials

Shiraz Bhaiji
Shiraz Bhaiji

Chief Consultant

Just finished reading Barry O'Reilly's book "Residues: Time, Change, and Uncertainty in Software Architecture", highly recommend it. It is not very often that new ideas come around in IT Architecture. Conway's Law is from 1967, The Mythical Man-Month was published in 1975, the Gang of 4 Design Patterns was published in 1994, Domain Driven Design is from 2003. And now in 2024 we have Residuality Theory.

Russell Miles
Russell Miles

Platform Engineering, Clear.Bank

“Every line of this little book is a quotable, simple and beautifully thought provoking note. The whole book is a wonderfully accessible “pop song” of Residuality and I adore it. It’s all information, no filler, and it’s passion and mission for setting software architecture on a better footing is more than laudable. This is a once-in-a-decade book and a must-read for anyone on the path to software system architect.”

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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