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Proceedings of the ACM on Programming Languages
Article . 2018 . Peer-reviewed
License: CC BY
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https://dx.doi.org/10.48550/ar...
Article . 2018
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Generic deriving of generic traversals

Authors: Kiss, Csongor; Pickering, Matthew; Wu, Nicolas;

Generic deriving of generic traversals

Abstract

Functional programmers have an established tradition of using traversals as a design pattern to work with recursive data structures. The technique is so prolific that a whole host of libraries have been designed to help in the task of automatically providing traversals by analysing the generic structure of data types. More recently, lenses have entered the functional scene and have proved themselves to be a simple and versatile mechanism for working with product types. They make it easy to focus on the salient parts of a data structure in a composable and reusable manner. This paper uses the combination of lenses and traversals to give rise to a library with unprecedented expressivity and flexibility for querying and modifying complex data structures. Furthermore, since lenses and traversals are based on the generic shape of data, this information is used to generate code that is as efficient as hand-optimised versions. The technique leverages the structure of data to produce generic abstractions that are then eliminated by the standard workhorses of modern functional compilers: inlining and specialisation.

Country
United Kingdom
Related Organizations
Keywords

FOS: Computer and information sciences, Technology, Science & Technology, extensibility, Computer Science - Programming Languages, Software Engineering, Computer Science, Software Engineering, 004, lenses, Computer Science, traversals, generic programming, Programming Languages (cs.PL)

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citations
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!
5
Average
Average
Top 10%
Green
Published in a Diamond OA journal