Retrieval-Augmented Test Generation: How Far Are We?
Abstract
Retrieval Augmented Generation (RAG) has advanced software engineering tasks but remains underexplored in unit test generation. To bridge this gap, we investigate the efficacy of RAG-based unit test generation for machine learning (ML/DL) APIs and analyze the impact of different knowledge sources on their effectiveness.
Fields of Study & Subjects
Natural Language Processing Techniques
Topic Modeling
Web Data Mining and Analysis
Publication details
- Pages
- 767–779
- Publication date
- 12 April 2026
- Language
- EN