AUITestAgent: Automatic Requirements Oriented GUI Function Testing
Abstract
The Graphical User Interface (GUI) is how users interact with mobile apps. To ensure it functions properly, testing engineers have to make sure it functions as intended, based on test requirements that are typically written in natural language. While widely adopted manual testing and script-based methods are effective, they demand substantial effort due to the vast number of GUI pages and rapid iterations in modern mobile apps. This paper introduces AUITestAgent, the first automatic, natural language-driven GUI testing tool for mobile apps, capable of fully automating the entire process of GUI interaction and function verification. Since test requirements typically contain interaction commands and verification oracles. AUITestAgent can extract GUI interactions from test requirements via dynamically organized agents. Then, AUITestAgent employs a multi-dimensional data extraction strategy to retrieve data relevant to the test requirements from the interaction trace and perform verification. Experiments on customized benchmarks demonstrate that AUITestAgent outperforms existing tools in the quality of generated GUI interactions and achieved the accuracy of verifications of 94%. Moreover, field deployment in Meituan has shown AUITestAgent's practical usability, with it detecting 4 new functional bugs during 10 regression tests in two months.
Community
Demos and benchmarks for AUITestAgent can be found at https://github.com/bz-lab/AUITestAgent.
AUITestAgent is a joint work of Prof. Zhou's team at Fudan University and the Meituan In-Store R&D platform. We have long been dedicated to the field of AI for full-stack front-end technology. In addition to AUITestAgent, we have developed several other technological innovations, including vision-ui, Appaction, and AutoConsis.
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