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Semantic diffing of formal policies with anti-unification

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A textual diff of two formal policies flags every cosmetic change and hides the one that alters behavior. This post shows how to compute a symbolic, deterministic semantic diff with an open-source anti-unification engine, so reviewers see only the genuine disagreements between two candidate authorization policies.

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When reviewing code, you start with a diff. You wouldn’t compare two 3,000-line files by eye and hope to spot every change. Formal policies can be even harder to compare because a textual diff often highlights syntactic changes that don’t affect meaning. Reorder two conjuncts, swap the arguments of an equality, or use an equivalent predicate, and much of the file might appear changed. A real change in behavior, such as an Or where the requirement says and , can get lost in that noise. A…

overfeed.news indexa y enlaza. Publicamos un extracto breve; el artículo completo sigue en AWS Machine Learning Blog.

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