An Introduction to Residuality Theory
summary
Residuality Theory claims architecture should model how a system falls apart, not just how it looks, by enumerating speculative stressors, deriving residues (leftover component sets) and compressing them into a residual architecture. It uses Monte Carlo-style random simulation and Kauffman-style NK/P analysis (he reports ~317 attractor states for large RB networks) and practical tools like an incident matrix to expose invisible coupling. Example: a global EV charger platform adds ALPR, sliding pricing and redundancy, survives unexpected failures and social attacks that naive designs do not.
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chapters (7)
- 0:00Residuality Theory intro
- 1:54Why software architecture hard
- 9:44Complexity view on software
- 22:30What is residuality and why
- 31:17Residual architecture example
- 45:14Measuring resilience with residual index
- 49:10Q&A cost complexity agile
