Authors : Aishwarya G; Sathwik C M; Shashank V H; Subham Mohanty; Sudeep D

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/2x5mkk7a

Scribd : https://tinyurl.com/yth5225f

DOI : https://doi.org/10.5281/zenodo.14356184

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.

Keywords : Large Language Models (LLMs),Text-to-Web Application Generation, Automated Code Generation, Machine Learning in Web Development, Natural Language Processing (NLP),Static Web Application Generator, Web Development Automation, Frontend Code Generation HTML/CSS/JavaScript Code Generation, Web App Scaffolding, NLP-Driven Software Engineering

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