Calculational Design of Hyperlogics by Abstract Interpretation
Patrick Cousot, Jeffery Wang

TL;DR
This paper develops a generic framework for designing hyperlogics using abstract interpretation, enabling systematic derivation of proof rules for hyper properties of iterative programs.
Contribution
It introduces a parameterized abstract interpreter for hyperlogics based on algebraic semantics, with new algebraic hyperlogics and proof rule simplifications.
Findings
Designed a generic, fixpoint abstract interpreter for hyperproperties.
Derived new algebraic hyperlogics including orallorall^ imes and orallorall^ imes.
Established that semantic abstractions preserve algebraic structures.
Abstract
We design various logics for proving hyper properties of iterative programs by application of abstract interpretation principles. In part I, we design a generic, structural, fixpoint abstract interpreter parameterized by an algebraic abstract domain describing finite and infinite computations that can be instantiated for various operational, denotational, or relational program semantics. Considering semantics as program properties, we define a post algebraic transformer for execution properties (e.g. sets of traces) and a Post algebraic transformer for semantic (hyper) properties (e.g. sets of sets of traces), we provide corresponding calculuses as instances of the generic abstract interpreter, and we derive under and over approximation hyperlogics. In part II, we define exact and approximate semantic abstractions, and show that they preserve the mathematical structure of the…
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