A Survey on Web Testing: on the Rise of AI and Applications in Industry

Abstract

Web testing is a critical component of software quality assurance, ensuring functionality, usability, and reliability of increasingly complex web applications. The integration of Artificial Intelligence (AI) techniques such as machine learning, natural language processing, and computer vision has significantly advanced the field by automating test generation, self-healing scripts, anomaly detection, and test optimization. This survey explores the current landscape of AI-powered web testing approaches, tools, and frameworks widely adopted across industries including e-commerce, finance, and healthcare in 2024. We analyze popular commercial and open-source solutions, discuss the challenges of dynamic web environments and flaky tests, and highlight emerging trends such as autonomous testing agents, multimodal testing, federated learning, and the need for standardization. Finally, the survey emphasizes the importance of collaboration between academia and industry to accelerate innovation and practical deployment of intelligent web testing methodologies.