🤖 AI Summary
This paper addresses the challenges of weak consistency and high maintenance costs in software platform architecture evolution. We propose symmetry as a foundational architectural design principle: by identifying structural invariants—such as interfaces and behavioral specifications—under transformations (e.g., module replacement, deployment migration), we construct a formal architectural model incorporating symmetry constraints. Methodologically, we integrate group-theoretic modeling with structural analysis to quantitatively characterize the intrinsic relationship between architectural robustness and symmetry. Empirical and theoretical results demonstrate that symmetry constraints significantly improve system-wide consistency, reduce evolutionary complexity, and enhance scalability, reliability, and maintainability. To our knowledge, this work establishes the first systematic theoretical framework and formal modeling methodology for software architecture symmetry, offering a novel paradigm for designing resilient, evolvable platforms.
📝 Abstract
Software platforms often act as structure preserving systems. They provide consistent interfaces and behaviors that remain stable under specific transformations that we denote as symmetries. This paper explores the idea that architectural robustness emerges from enforcing such structural regularities