Litcius/Paper detail

Turning Low-Code Development Platforms into True No-Code with LLMs

Nathan Hagel, Nicolas Hili, Didier Schwab

202415 citationsDOIOpen Access PDF

Abstract

The relevance of low-code / no-code development has grown substantially in research and practice over the years to allow nontechnical users to create applications and, therefore, democratise software development. One problem in this domain still persists: many platforms remain low-code as the underlying modeling layer still requires professionals to write/design a model, often using Domain Specific Languages (DSLs). With the rise of generative AI and Large Language Models (LLMs) and their capabilities, new possibilities emerge on how Low Code Development Platforms (LCDPs) can be improved.

Topics & Concepts

Code (set theory)Computer scienceProgramming languageSet (abstract data type)Software Testing and Debugging TechniquesAdvanced Malware Detection TechniquesScientific Computing and Data Management