From Operational Semantics to Abstract Machines

We consider the problem of mechanically constructing abstract machines from operational semantics, producing intermediate-level specifications of evaluators guaranteed to be correct with respect to the operational semantics. We construct these machines by repeatedly applying correctness-preserving transformations to operational semantics until the resulting specifications have the form of abstract machines. Though not automatable in general, this approach to constructing machine implementations can be mechanized, providing machine-verified correctness proofs. As examples we present the transformation of specifications for both call-by-name and call-by-value evaluation of the untyped λ-calculus into abstract machines that implement such evaluation strategies. We also present extensions to the call-by-value machine for a language containing constructs for recursion, conditionals, concrete data types, and built-in functions. In all cases, the correctness of the derived abstract machines follows from the (generally transparent) correctness of the initial operational semantic specification and the correctness of the transformations applied. Comments University of Pennsylvania Department of Computer and Information Science Technical Report No. MSCIS-92-46. This technical report is available at ScholarlyCommons: http://repository.upenn.edu/cis_reports/502 From Operational Semantics to Abstract Machines MS-CIS-92-46 LINC LAB 225 Dale Miller (University of Pennsylvania) John Hannan (University of Copenhagen) University of Pennsylvania School of Engineering and Applied Science Computer and Information Science Department Philadelphia, PA 19 104-6389