Metaprogramming

[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.Generic programming invokes a metaprogramming facility within a language by allowing one to write code without the concern of specifying data types since they can be supplied as parameters when used.Nonetheless, a programmer can write and execute this metaprogram in less than a minute, and will have generated over 1000 lines of code in that amount of time.If programs are modifiable at runtime, or if incremental compiling is available (such as in C#, Forth, Frink, Groovy, JavaScript, Lisp, Elixir, Lua, Nim, Perl, PHP, Python, Rebol, Ruby, Rust, R, SAS, Smalltalk, and Tcl), then techniques can be used to perform metaprogramming without generating source code.A fairly common example of using DSLs involves generative metaprogramming: lex and yacc, two tools used to generate lexical analysers and parsers, let the user describe the language using regular expressions and context-free grammars, and embed the complex algorithms required to efficiently parse the language.Metaclasses are provided by the following programming languages: Use of dependent types allows proving that generated code is never invalid.
Charles Simonyicomputer programmingcomputer programsruntimecompile timecompile time computationsself-modifying codeprogramming languagemetalanguagereflective programmingLisp machineartificial intelligencegeneric programmingparadigmfirst-class data typePrologSNOBOLhomoiconicityparametersruntime systemapplication programming interfacesCommon Intermediate Languagedynamic executionJavaScriptprogram transformationcompilersSchemeRemObjectsPascal ScriptObject PascalPOSIX Shellscriptgenerative programmingGroovyElixirPythonSmalltalkdomain-specific languageslexical analysersparsersregular expressionscontext-free grammarsdynamic program analysisMacro (computer science)ClojureCommon LispRackethygienic macrosMacroMLTemplate HaskellMacro assemblerIBM/360assembly languagetransaction processingMetaclassMetaclassesTemplate metaprogrammingC "X Macros"C++ TemplatesMulti-stage programmingDependent typedependent typesList of program transformation systemsAspect weaverComparison of code generation toolsCompile-time function executionGenetic programmingInferential programmingInstruction set simulatorIntentional ProgrammingInterpreted languageMachine learningMetacompilerMetaobjectPartial evaluationSelf-interpreterSource code generationTranscompilerVery-large-scale integrationHalting problemCzarnecki, KrzysztofCommon Lisp Object SystemLisp (programming language)Programming paradigmsComparison by languageImperativeStructuredJackson structuresBlock-structuredModularNon-structuredProceduralProgramming in the large and in the smallDesign by contractInvariant-basedNested functionObject-orientedcomparisonClass-basedPrototype-basedObject-basedImmutable objectPersistentUniform Function Call SyntaxDeclarativeFunctionalRecursiveAnonymous functionPartial applicationHigher-orderPurely functionalStrictFunctional logicPoint-free styleExpression-orientedApplicativeConcatenativeFunction-levelValue-levelDataflowFlow-basedReactiveFunctional reactiveSignalsStreamsSynchronousAbductive logicAnswer setConstraintConstraint logicInductive logicNondeterministicOntologyProbabilistic logicAlgebraic modelingAutomata-basedActionCommandSpacecraftDifferentiableEnd-userGrammar-orientedInterface descriptionLanguage-orientedList comprehensionLow-codeModelingNatural languageNon-English-basedPage descriptionfiltersProbabilisticQuantumScientificScriptingSet-theoreticSimulationStack-basedSystemTactileTemplatingTransformationGraph rewritingProductionPatternVisualConcurrentdistributedparallelActor-basedAutomatic mutual exclusionChoreographic programmingConcurrent logicConcurrent constraint logicConcurrent OOMacroprogrammingMultitier programmingOrganic computingParallel programming modelsPartitioned global address spaceProcess-orientedRelativistic programmingService-orientedStructured concurrencyAttribute-orientedAutomaticInductiveDynamicExtensibleGenericInteractiveHygienicMetalinguistic abstractionMulti-stageProgram synthesisBayesianInferentialby demonstrationby exampleReflectiveSymbolicTemplateSeparationof concernsAspectsComponentsData-drivenData-orientedEvent-drivenFeaturesIntentionalLiterateSubjectsTypes of programming languagesMachineAssemblyCompiledInterpretedLow-levelHigh-levelVery high-levelEsotericGenerationSecondFourth