.png){kind=icon}
返回
Generative AI to Generate Test Data Generators
.png){kind=icon}
OA
AI
DOI：10.1109/MS.2024.3418570.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
High quality data is essential for designing effective software test suites. We propose three original methods for using large language models to generate representative test data, which fit to the domain of the program under test and are culturally adequate.
Keyword:
Generators
Cultural differences
Testing
Libraries
Java
Codes
Vectors
期刊
IF:
3
论文数:
3.2K
被引数:
3.6K
机构
查看更多机构
引用论文
.png){kind=icon}
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation使用大型语言模型进行自动单元测试生成的经验评估OAAI
OAAI分享收藏Application of Large Language Models to Software Engineering Tasks: Opportunities, Risks, and Implications大型语言模型在软件工程任务中的应用: 机遇，风险和影响OAAI
OAAI分享收藏
没有更多内容