Editing Automatic programming (section)

==Source-code generation==
''Source-code generation'' is the process of generating source code based on a description of the problem<ref>{{cite web
|quote=Software that generates application programs from descriptions of the problem rather than by traditional programming. It is at a higher level and easier to use than a high-level programming language such as ...
|url=https://www.pcmag.com/encyclopedia/term/37909/application-generator
|title=Application generator |publisher=PCmag.com}}</ref> or an [[ontology (information science)|ontological]] model such as a template and is accomplished with a [[programming tool]] such as a [[template processor]] or an [[integrated development environment]] (IDE). These tools allow the generation of [[source code]] through any of various means.

Modern programming languages are well supported by tools like [https://www.json4swift.com/ Json4Swift] ([[Swift (programming language)|Swift]]) and [https://www.json2kotlin.com/ Json2Kotlin] ([[Kotlin (programming language)|Kotlin]]).

Programs that could generate [[COBOL]] code include: 
* the DYL250/DYL260/DYL270/DYL280 series<ref>{{cite web
  |url=http://www.sysed.com/DnLoads/RefCards/DYL280.pdf
  |title=DYL-280 Command Syntax
  |access-date=2018-09-03
  |archive-url=https://web.archive.org/web/20180730111004/http://www.sysed.com/DnLoads/RefCards/DYL280.pdf
  |archive-date=2018-07-30
  |url-status=dead
  }}</ref>
* [[Business Controls Corporation]]'s SB-5
* [[KPMG|Peat Marwick Mitchell]]'s PMM2170 application-program-generator package
These application generators supported COBOL inserts and overrides.

A [[Macro (computer science)|macro]] processor, such as the [[C preprocessor]], which replaces patterns in source code according to relatively simple rules, is a simple form of source-code generator. [[Source-to-source compiler|Source-to-source]] code generation tools also exist.<ref>Noaje, Gabriel, Christophe Jaillet, and Michaël Krajecki. "[https://www.researchgate.net/profile/Ponnuswamy_Sadayappan/publication/221302775_Automatic_C-to-CUDA_Code_Generation_for_Affine_Programs/links/09e4150e7f97085734000000/Automatic-C-to-CUDA-Code-Generation-for-Affine-Programs.pdf Source-to-source code translator: OpenMP C to CUDA]". High Performance Computing and Communications (HPCC), 2011 IEEE 13th International Conference on. IEEE, 2011.</ref><ref>Quinlan, Dan, and Chunhua Liao. "[https://www.researchgate.net/profile/Chunhua_Liao/publication/267861836_The_ROSE_Source-to-Source_Compiler_Infrastructure/links/5465a8120cf2f5eb17ff4238.pdf The ROSE source-to-source compiler infrastructure]". Cetus users and compiler infrastructure workshop, in conjunction with PACT. Vol. 2011. 2011.</ref>

[[Large language model]]s such as [[ChatGPT]] are capable of generating a program's source code from a description of the program given in a natural language.<ref name="ChatGPT can write code">{{Cite web |url=https://www.zdnet.com/article/chatgpt-can-write-code-now-researchers-say-its-good-at-fixing-bugs-too/ |title=ChatGPT can write code. Now researchers say it's good at fixing bugs, too |website=ZDNET |date=January 26, 2023 |first=Liam |last=Tung |access-date=June 22, 2023 |archive-date=February 3, 2023 |archive-url=https://web.archive.org/web/20230203051252/https://www.zdnet.com/article/chatgpt-can-write-code-now-researchers-say-its-good-at-fixing-bugs-too/ |url-status=live}}</ref>

Many [[Relational database system|relational database systems]] provide a function that will export the content of the database as [[SQL]] [[Data definition language|data definition]] queries, which may then be executed to re-import the tables and their data, or migrate them to another RDBMS.