Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs
Journal:
arXiv
Published Date:
Jun 3, 2025
Abstract
Web applications are critical to modern software ecosystems, yet ensuring
their reliability remains challenging due to the complexity and dynamic nature
of web interfaces. Recent advances in large language models (LLMs) have shown
promise in automating complex tasks, but limitations persist in handling
dynamic navigation flows and complex form interactions. This paper presents an
automated system for generating test cases for two key aspects of web
application testing: site navigation and form filling. For site navigation, the
system employs screen transition graphs and LLMs to model navigation flows and
generate test scenarios. For form filling, it uses state graphs to handle
conditional forms and automates Selenium script generation. Key contributions
include: (1) a novel integration of graph structures and LLMs for site
navigation testing, (2) a state graph-based approach for automating
form-filling test cases, and (3) a comprehensive dataset for evaluating
form-interaction testing. Experimental results demonstrate the system's
effectiveness in improving test coverage and robustness, advancing the state of
web application testing.
