Difference between revisions of "Category:Numerical and Symbolic Abstract Domains"

Abstract domains are a key notion in Abstract Interpretation theory and practice. They embed the semantic choices, data structures and algorithmic aspects, and implementation decisions. The Abstract Interpretation framework provides constructive and systematic formal methods to design, compose, compare, study, prove, and apply abstract domains. Many abstract domains have been designed so far: numerical domains (intervals, congruences, polyhedra, polynomials, etc.), symbolic domains (shape domains, trees, etc.), but also domain operators (products, powersets, completions, etc.), which have been applied to several kinds of static analyses (safety, termination, probability, etc.).