logseq/pages/@Low-Code Programming Models.md

links:: Local library, Web library 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 {{zotero-imported-file KFCH92K4, "2205.html"}}
  • Hirzel_2022_Low-Code Programming Models.pdf {{zotero-imported-file JGDXBIXM, "Hirzel_2022_Low-Code Programming Models.pdf"}}
• Highlights
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