A Survey of Testing Techniques Based on Large Language Models
Fei Qi, Yingnan Hou, Ning Lin, Shanshan Bao, Nuo Xu · 2024
With the development of software testing technology, Large Language Model (LLM) driven testing method have gradually become an emerging trend in the field of software testing. This paper presents a comprehensive review of LLM-based testing techniques. The results of 19 studies using LLM to optimize testing techniques are analyzed from the perspective of software testing. This paper discusses in detail how to use LLM to optimize test techniques for generating automated test code and generating diverse input in software test tasks. It also summarizes the challenges and opportunities faced by this field. The above conclusions can identify the shortcomings of LLM-based software testing technology and the direction of future research.