Title :
Relational Parametricity for Computational Effects
Author :
Møgelberg, Rasmus Ejlers ; Simpson, Alex
Author_Institution :
Univ. of Edinburgh, Edinburgh
Abstract :
According to Strachey, a polymorphic program is parametric if it applies a uniform algorithm independently of the type instantiations at which it is applied. The notion of relational parametricity, introduced by Reynolds, is one possible mathematical formulation of this idea. Relational parametricity provides a powerful tool for establishing data abstraction properties, proving equivalences of datatypes, and establishing equalities of programs. Such properties have been well studied in a pure functional setting. Many programs, however, exhibit computational effects. In this paper, we develop a framework for extending the notion of relational parametricity to languages with effects.
Keywords :
data structures; relational algebra; Reynolds; data abstraction properties; polymorphic program; relational parametricity; Calculus; Computer science; Encoding; Informatics; Logic; Technological innovation;
Conference_Titel :
Logic in Computer Science, 2007. LICS 2007. 22nd Annual IEEE Symposium on
Conference_Location :
Wroclaw
Print_ISBN :
0-7695-2908-9
DOI :
10.1109/LICS.2007.40