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Metaprogramming

Metaprogramming is a programming technique in which computer programs have the ability to treat other programs as their data. It means that a program can be designed to read, generate, analyse or transform other programs, and even modify itself while running.[1][2] In some cases, this allows programmers to minimize the number of lines of code to express a solution, in turn reducing development time.[3] It also allows programs a greater flexibility to efficiently handle new situations without recompilation.

This article is about the computer programming technique. For the management technique, see Charles Simonyi.

Metaprogramming can be used to move computations from run-time to compile-time, to generate code using compile time computations, and to enable self-modifying code. The ability of a programming language to be its own metalanguage is called reflection.[4] Reflection is a valuable language feature to facilitate metaprogramming.


Metaprogramming was popular in the 1970s and 1980s using list processing languages such as LISP. LISP hardware machines were popular in the 1980s and enabled applications that could process code. They were frequently used for artificial intelligence applications.

Usages[edit]

Code generation[edit]

A simple example of a metaprogram is this POSIX Shell script, which is an example of generative programming:

Challenges[edit]

Some argue that there is a sharp learning curve to make complete use of metaprogramming features.[8] Since metaprogramming gives more flexibility and configurability at runtime, misuse or incorrect use of metaprogramming can result in unwarranted and unexpected errors that can be extremely difficult to debug to an average developer. It can introduce risks in the system and make it more vulnerable if not used with care. Some of the common problems, which can occur due to wrong use of metaprogramming are inability of the compiler to identify missing configuration parameters, invalid or incorrect data can result in unknown exception or different results.[9] Due to this, some believe[8] that only high-skilled developers should work on developing features which exercise metaprogramming in a language or platform and average developers must learn how to use these features as part of convention.

and most Lisp dialects.

Common Lisp

Scheme

hygienic macros

MacroML

Racket (programming language)

Template Haskell

macros

Scala

macros

Clojure

Nim

Rust

Haxe

Julia

Elixir

Implementations[edit]

The list of notable metaprogramming systems is maintained at List of Program Transformation Systems.

c2.com Wiki: Metaprogramming article

on the Program Transformation Wiki

Meta Programming

Code generation Vs Metaprogramming

: The first metaprogramming framework for eXist-db

"Solenoid"