Paper Info
Title
Observable sequentiality and full abstraction
Abstract
One of the major challenges in denotational semantics is the construction of fully abstract models for sequential programming languages. For the past fifteen years, research on this problem has focused on developing models for PCF, an idealized functional programming language based on the typed lambda calculus. Unlike most practical languages, PCF has no facilities for observing and exploiting the evaluation order of arguments in procedures. Since we believe that such facilities are crucial for understanding the nature of sequential computation, this paper focuses on a sequential extension of PCF (called SPCF) that includes two classes of control operators: error generators enable us to construct a fully abstract model for SPCF that interprets higher types as sets of error-sensitive functions instead of continuous functions. The error-sensitve functions form a Scott domain that is isomorphic to a domain of decision trees. We believe that the same construction will yield fully abstract models for functional languages with different control operators for observing the order of evaluation.
Year
DOI
Venue
1992
10.1145/143165.143232
POPL
Keywords
Field
DocType
sequential computation,full abstraction,evaluation order,sequential extension,different control operator,abstract model,functional language,sequential programming language,idealized functional programming language,observable sequentiality,scott domain,control operator,programming language,functional form,functional programming language,partial evaluation,decision tree,typed lambda calculus
Functional logic programming,Second-generation programming language,Lambda calculus,Programming language,Functional programming,Typed lambda calculus,Normalisation by evaluation,Computer science,Denotational semantics,Theoretical computer science,Programming language theory
Conference
ISBN
Citations 
PageRank 
0-89791-453-8
30
2.61
References 
Authors
8
2
Name
Order
Citations
PageRank
Robert Cartwright152967.27
Matthias Felleisen23001272.57