Text to Web Application Using LLM

This paper provides an extensive survey on the application of large language models (LLMs) in automating web application development, specifically by translating natural language descriptions into functional code. By examining recent advancements, core challenges, and future directions, this survey outlines the capabilities and transformative potential of LLMs in software engineering. Special emphasis is placed on their role in reducing the technical barriers of web development through text-to-web app transformations, bridging the gap between user-friendly requirements and operational implementation. This survey also identifies key areas for improvement, offering insightsinto the advancement of LLM-driven web automation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-10
DOI
https://doi.org/10.5281/zenodo.14356183
Primary Topic
Web Applications and Data Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Text to Web Application Using LLM

Zenodo (CERN European Organization for Nuclear Research)
Web Applications and Data Management
article

Text to Web Application Using LLM

article en

Abstract

This paper provides an extensive survey on the application of large language models (LLMs) in automating web application development, specifically by translating natural language descriptions into functional code. By examining recent advancements, core challenges, and future directions, this survey outlines the capabilities and transformative potential of LLMs in software engineering. Special emphasis is placed on their role in reducing the technical barriers of web development through text-to-web app transformations, bridging the gap between user-friendly requirements and operational implementation. This survey also identifies key areas for improvement, offering insightsinto the advancement of LLM-driven web automation.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 43%
Web Applications and Data Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Text to Web Application Using LLM · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS