AI-Powered Software Testing: The Impact of Large Language Models on Testing Methodologies
Vahit Bayrı, Ece Demirel
Abstract
Software testing is a crucial aspect of the software development lifecycle, ensuring the delivery of high-quality, reliable, and secure software systems. With the advancements in Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) have emerged as powerful tools capable of understanding and processing natural language texts easly. This article investigates the application of AI-based software testing, with a specific focus on the impact of LLMs in traditional testing methodologies. Through a comprehensive review of relevant literature and SeturDigital’s 25 year testing experience, this article explores the potential benefits, challenges, and prospects of integrating LLMs into software testing.