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Electronic Notes in Theoretical Computer Science
Article . 2011 . Peer-reviewed
License: CC BY NC ND
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Dynamics for ML using Meta-Programming

Authors: Thomas Gazagnaire; Anil Madhavapeddy;

Dynamics for ML using Meta-Programming

Abstract

AbstractWe present the design and implementation of dynamic type and value introspection for the OCaml language. Unlike previous attempts, we do not modify the core compiler or type-checker, and instead use the camlp4 metaprogramming tool to generate appropriate definitions at compilation time. Our dynamics library significantly eases the task of generating generic persistence and I/O functions in OCaml programs, without requiring the full complexity of fully-staged systems such as MetaOCaml. As a motivating use of the library, we describe a SQL backend which generates type-safe functions to persist and retrieve values from a relational database, without requiring programmers to ever use SQL directly.

Keywords

sql, generative, metaprogramming, dynamics, ocaml, database, Theoretical Computer Science, Computer Science(all)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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