Software Testing With Large Language Models: Survey, Landscape, and Vision
Institute of Software · University of Chinese Academy of Sciences · +2 more institutions
Abstract
Pre-trained large language models (LLMs) have recently emerged as a breakthrough technology in natural language processing and artificial intelligence, with the ability to handle large-scale datasets and exhibit remarkable performance across a wide range of tasks. Meanwhile, software testing is a crucial undertaking that serves as a cornerstone for ensuring the quality and reliability of software products. As the scope and complexity of software systems continue to grow, the need for more effective software testing techniques becomes increasingly urgent, making it an area ripe for innovative approaches such as the use of LLMs. This paper provides a comprehensive review of the utilization of LLMs in software…
Citation impact
- FWCI
- 168.29
- Percentile
- 100%
- References
- 220
Authors
6- JWJunjie WangCorresponding
Institute of Software, University of Chinese Academy of Sciences
- YHYuchao Huang
Institute of Software, University of Chinese Academy of Sciences
- CCChunyang Chen
Technical University of Munich
- ZLZhe Liu
Institute of Software, University of Chinese Academy of Sciences
- SWSong Wang
York University
Topics & keywords
- Computer science
- Software engineering
- Software