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Applicative bidirectional programming

Mixing lenses and semantic bidirectionalization

Published online by Cambridge University Press:  21 June 2018

KAZUTAKA MATSUDA  and
MENG WANG
KAZUTAKA MATSUDA
Affiliation:
Graduate School of Information Sciences, Tohoku University, Sendai 980-8579, Japan (e-mail: kztk@ecei.tohoku.ac.jp)
MENG WANG
Affiliation:
Department of Computer Science, University of Bristol, Bristol BS8 1TH, UK (e-mail: meng.wang@bristol.ac.uk)
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Abstract

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A bidirectional transformation is a pair of mappings between source and view data objects, one in each direction. When the view is modified, the source is updated accordingly with respect to some laws. One way to reduce the development and maintenance effort of bidirectional transformations is to have specialized languages in which the resulting programs are bidirectional by construction—giving rise to the paradigm of bidirectional programming. In this paper, we develop a framework for applicative-style and higher-order bidirectional programming, in which we can write bidirectional transformations as unidirectional programs in standard functional languages, opening up access to the bundle of language features previously only available to conventional unidirectional languages. Our framework essentially bridges two very different approaches of bidirectional programming, namely the lens framework and Voigtländer's semantic bidirectionalization, creating a new programming style that is able to obtain benefits from both.

Information

Type
Research Article
Information
Journal of Functional Programming , Volume 28 , 2018 , e15
Copyright
Copyright © Cambridge University Press 2018 

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