From Code Generation to Software Testing: AI Copilot With Context-Based Retrieval-Augmented Generation
The rapid pace of large-scale software development places increasing demands on traditional testing methodologies. We propose a novel perspective on software testing, highlighting the transformative potential of AI-driven technologies in modern software development practices.
Authors
- Chee Wei Tan (ORCID: https://orcid.org/0000-0002-6624-9752)
- Shangxin Guo (ORCID: https://orcid.org/0009-0004-0779-7179)
- Yuchen Wang (ORCID: https://orcid.org/0000-0002-5183-1248)
Institutions
- City University of Hong Kong (HK)
- Nanyang Technological University (SG)
Publication Details
- Journal
- IEEE Software
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1109/ms.2025.3549628
- Citations
- 17
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 20.65