Skip to search boxSkip to navigationSkip to main content

Relational Parametricity for Computational Effects

  • University of Edinburgh
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Journal (Volume, Issue Number)

Logical Methods in Computer Science (Volume 5, Issue 3)

Publication milestones

  • Published - 2009

Publication status

Published - 2009

ISSN

1860-5974

Publication IDs

  • Scopus: 84871009624

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, and are not accounted for by the standard theory of relational parametricity. In this paper, we develop a foundational framework for extending the notion of relational parametricity to programming languages with effects.

Publication metrics

PlumX, opens in new tab

Captures
1
Citations
7