Abstract. The last decade has seen a number of approaches to datatype-generic programming: PolyP, Functorial ML, ‘Scrap Your Boilerplate’, Generic Haskell, ‘Generics for the Masses’, and so on. The approaches vary in sophistication and target audience: some propose fullblown programming languages, some suggest libraries, some can be seen as categorical programming methods. In these lecture notes we compare the various approaches to datatype-generic programming in Haskell. We introduce each approach by means of example, and we evaluate it along different dimensions (expressivity, ease of use, and so on).
Datatype-generic programming (DGP) involves parametrization of programs by the shape of data, in the...
Generic Programming deals with the construction of programs that can be applied to many different da...
Datatype-generic programming (DGP) involves parametrization of programs by the shape of data, in the...
The last decade has seen a number of approaches to data- type-generic programming: PolyP, Functoria...
Datatype-generic programming is defining functions that depend on the structure, or "shape", of data...
Datatype-generic programming is defining functions that depend on the structure, or "shape", of data...
Datatype-generic programming is defining functions that depend on the structure, or ``shape\u27\u27,...
Datatype-generic programming is defining functions that depend on the structure, or ``shape\u27\u27,...
Abstract. Generic Haskell is an extension of Haskell that supports the construction of generic progr...
This thesis is an exploration -- an exploration of a language extension of the functional programmi...
Abstract. A generic function is defined by induction on the structure of types. The structure of a d...
This thesis aims at making Datatype Generic Programming more useful in practice. We extend the fixed...
Functional generic programming extends functional programming with the ability to parameterize funct...
Abstract Functional generic programming extends functional programming with the ability to parameter...
Many functions can be dened completely generically for all datatypes. Examples include pretty printe...
Datatype-generic programming (DGP) involves parametrization of programs by the shape of data, in the...
Generic Programming deals with the construction of programs that can be applied to many different da...
Datatype-generic programming (DGP) involves parametrization of programs by the shape of data, in the...
The last decade has seen a number of approaches to data- type-generic programming: PolyP, Functoria...
Datatype-generic programming is defining functions that depend on the structure, or "shape", of data...
Datatype-generic programming is defining functions that depend on the structure, or "shape", of data...
Datatype-generic programming is defining functions that depend on the structure, or ``shape\u27\u27,...
Datatype-generic programming is defining functions that depend on the structure, or ``shape\u27\u27,...
Abstract. Generic Haskell is an extension of Haskell that supports the construction of generic progr...
This thesis is an exploration -- an exploration of a language extension of the functional programmi...
Abstract. A generic function is defined by induction on the structure of types. The structure of a d...
This thesis aims at making Datatype Generic Programming more useful in practice. We extend the fixed...
Functional generic programming extends functional programming with the ability to parameterize funct...
Abstract Functional generic programming extends functional programming with the ability to parameter...
Many functions can be dened completely generically for all datatypes. Examples include pretty printe...
Datatype-generic programming (DGP) involves parametrization of programs by the shape of data, in the...
Generic Programming deals with the construction of programs that can be applied to many different da...
Datatype-generic programming (DGP) involves parametrization of programs by the shape of data, in the...