"Bidirectionalization for Free" for Monomorphic Transformations
Artikel i vetenskaplig tidskrift, 2015

Abstract 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. Over the years, a lot of effort has been made to offer better language support for programming such transformations. In particular, a technique known as bidirectionalization is able to analyze and transform unidirectional programs written in general purpose languages, and “bidirectionalize” them. Among others, an approach termed semantic bidirectionalization proposed by Voigtländer stands out in terms of user-friendliness. A unidirectional program can be written using arbitrary language constructs, as long as the function it represents is polymorphic and the language constructs respect parametricity. The free theorems that follow from the polymorphic type of the program allow a kind of forensic examination of the transformation, determining its effect without examining its implementation. This is convenient, as the programmer is not restricted to using a particular syntax; but it does require the transformation to be polymorphic. In this paper, we lift this polymorphism requirement to improve the applicability of semantic bidirectionalization. Concretely, we provide a type class PackM γ α μ , which intuitively reads “a concrete datatype γ is abstracted to a type α, and the ‘observations’ made by a transformation on values of type γ are recorded by a monad μ”. With PackM, we turn monomorphic transformations into polymorphic ones that are ready to be bidirectionalized. We demonstrate our technique with case studies of typical applications of bidirectional transformation, namely text processing, \{XML\} query and graph transformation, which were commonly considered beyond semantic bidirectionalization because of their monomorphic nature.

Haskell

Type class

Bidirectional transformation

Free theorem

Författare

Kazutaka Matsuda

University of Tokyo, Graduate School of Information Science and Technology

Meng Wang

Chalmers, Data- och informationsteknik, Programvaruteknik

Science of Computer Programming

0167-6423 (ISSN)

Vol. 111 P1 79-109 1809

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Programvaruteknik

Datavetenskap (datalogi)

DOI

10.1016/j.scico.2014.07.008

Mer information

Skapat

2018-01-24