Hierarchy in Generic Programming Libraries

  • José Pedro Magalhães
  • Andres Löh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9129)


Generic programming (GP) is a form of abstraction in programming languages that serves to reduce code duplication by exploiting the regular structure of algebraic datatypes. Several different approaches to GP in Haskell have surfaced, giving rise to the problem of code duplication across GP libraries. Given the original goals of GP, this is a rather unfortunate turn of events. Fortunately, we can convert between the different representations of each approach, which allows us to “borrow” generic functions from different approaches, avoiding the need to reimplement every generic function in every single GP library.

In previous work we have shown how existing GP libraries relate to each other. In this paper we go one step further and advocate “hierarchical GP”: through proper design of different GP approaches, each library can fit neatly in a hierarchy, greatly minimizing the amount of supporting infrastructure necessary for each approach, and allowing each library to be specific and concise, while eliminating code duplication overall. We introduce a new library for GP in Haskell intended to sit at the top of the “GP hierarchy”. This library contains a lot of structural information, and is not intended to be used directly. Instead, it is a good starting point for generating generic representations for other libraries. This approach is also suitable for being the only library with native compiler support; all other approaches can be obtained from this one by simple conversion of representations in plain Haskell code.


Generic Programming Type Family Test Data Generation Constructor Argument Structure Library 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The first author is funded by EPSRC grant number EP/J010995/1. We thank the anonymous reviewers for the helpful feedback.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of OxfordOxfordUK
  2. 2.Well-Typed LLPRegensburgGermany

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