Large Language Models for Engineering Web Applications

dc.contributor.author	Kimmel, Robin
dc.contributor.editor	Dhungana, Deepak
dc.contributor.editor	Lambers, Leen
dc.contributor.editor	Bonorden, Leif
dc.contributor.editor	Henning, Sören
dc.date.accessioned	2024-02-14T05:22:29Z
dc.date.available	2024-02-14T05:22:29Z
dc.date.issued	2024
dc.description.abstract	This work examines the potential of blending traditional programming methods with artificial intelligence, specifically large language models (LLMs), to automate the creation of web applications. The primary focus is on defining the necessary software architecture and components to transform diverse inputs, such as natural language and Unified Modeling Language (UML) notations, into functional web applications. The core concept involves a software agent built around a Large Language Model, equipped with tools to autonomously address tasks. While demonstrating promise, this approach exhibits certain limitations that demand further exploration and refinement.	en
dc.identifier.doi	10.18420/sw2024-ws_14
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/43511
dc.language.iso	en
dc.pubPlace	Bonn
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	SE 2024 - Companion
dc.subject	Large Language Models
dc.title	Large Language Models for Engineering Web Applications	en
dc.type	Text/Conference Paper
gi.citation.endPage	176
gi.citation.startPage	175
gi.conference.date	26.- 27. Februar
gi.conference.location	Linz
gi.conference.sessiontitle	SRC

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