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Relational Parametricity for Computational Effects

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

    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.
    Original languageEnglish
    JournalLogical Methods in Computer Science
    Volume5
    Issue number3
    Number of pages31
    ISSN1860-5974
    DOIs
    Publication statusPublished - 2009

    Keywords

    • Polymorphic Programming
    • Relational Parametricity
    • Data Abstraction
    • Computational Effects
    • Functional Programming

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