Matching Software Requirements Specifications and Source Code Using LLM and Embedding Model

Abstract

In software requirements specifications, inconsistencies in the level of abstraction and expression may lead to a decrease in the accuracy of source code retrieval. This study proposes a method to improve the accuracy of source code retrieval using embedding model and vector similarity by employing large language model (LLM) as a preprocessing step to generate source code descriptions with a unified level of abstraction.