Software Testing With Large Language Models: Survey, Landscape, and Vision-Reference-Cited by-同舟云学术

Software Testing With Large Language Models: Survey, Landscape, and Vision

Published:2024-04 Issue:4 Volume:50 Page:911-936
ISSN:0098-5589
Container-title:IEEE Transactions on Software Engineering
language:
Short-container-title:IIEEE Trans. Software Eng.

Author:

Wang Junjie¹^ORCID,Huang Yuchao¹^ORCID,Chen Chunyang²^ORCID,Liu Zhe¹^ORCID,Wang Song³^ORCID,Wang Qing¹^ORCID

Affiliation:

1. State Key Laboratory of Intelligent Game, Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China

2. Technical University of Munich, Munich, Germany

3. York University, Toronto, ON, Canada

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association Chinese Academy of Sciences, Basic Research Program of ISCAS

Major Program of ISCAS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/32/10504688/10440574.pdf?arnumber=10440574

Reference166 articles.

1. The Art of Software Testing

2. A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search

3. InterEvo-TR: Interactive Evolutionary Test Generation With Readability Assessment

4. Characteristic studies of loop problems for structural test generation via symbolic execution

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