Exploring the Feasibility of Retrieval-Augmented Generation for Software Defect Analysis: An Empirical Study
An empirical study using real-world data investigating the feasibility of Retrieval-Augmented Generation (RAG) to support interactive exploration of software defect repositories to improve decision-making in quality assurance and software development by enabling scalable and intelligent exploration of software failures.