links:: [Local library](zotero://select/library/items/7NN9HNPG), [Web library](https://www.zotero.org/users/1039502/items/7NN9HNPG)
authors:: [[Martin Hirzel]]
tags:: [[Computer Science - Programming Languages]]
date:: [[04-05-2022]]
item-type:: [[preprint]]
title:: @Low-Code Programming Models

- [[Abstract]]
	- Traditionally, computer programming has been the prerogative of professional developers using textual programming languages such as C, Java, or Python. Low-code programming promises an alternative: letting citizen developers create programs using visual abstractions, demonstrations, or natural language. While low-code programming is currently getting a lot of attention in industry, the relevant research literature is scattered, and in fact, rarely uses the term "low-code". This article brings together low-code literature from various research fields, explaining how techniques work while providing a unified point of view. Low-code has the potential to empower more people to automate tasks by creating computer programs, making them more productive and less dependent on scarce professional software developers.
- [[Attachments]]
	- [arXiv.org Snapshot](https://arxiv.org/abs/2205.02282) {{zotero-imported-file KFCH92K4, "2205.html"}}
	- [Hirzel_2022_Low-Code Programming Models.pdf](https://arxiv.org/pdf/2205.02282.pdf) {{zotero-imported-file JGDXBIXM, "Hirzel_2022_Low-Code Programming Models.pdf"}}
- [[Highlights]]
	- ((6464b288-5d89-4b29-bd9d-eb6c88f1371e)) #WORK/SE4DS2023_Intro
	- ((6464e5e9-a147-4747-8c6f-2c907d728754)) #WORK/SE4DS2023_Intro #motivation
	- ((6464e648-e4c8-496f-b66f-bb14f860170a)) #WORK/SE4DS2023_Intro
	- ((6464e67a-e0da-4289-a819-ba114dd6c3ac)) #WORK/SE4DS2023_Intro #definition
	- ((6464e6c2-476a-4106-bed9-c00c456ec273)) #WORK/SE4DS2023_Intro #definition
	- ((6464e6f9-07ce-4bcc-b118-5c2f006d8535))
	-