Work

From Code Generation to Software Testing: AI Copilot With Context-Based Retrieval-Augmented Generation

Year: 2025

Type: article

Abstract: 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.

Source: IEEE Software

DOI: 10.1109/ms.2025.3549628

Authors: Yuchen Wang, Shangxin Guo, Chee Wei Tan

Institutions: Nanyang Technological University, City University of Hong Kong

Language: English

Topic: Software Testing and Debugging Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Ministry of Education - Singapore

Award: G1619308438