Research on Behavior Simulation Optimization for Automated Testing in Mobile Game

GUIs(Graphical User Interfaces) are an important part of many software applications, especially for mobile gaming applications whose GUI screens contain a large number of widgetized control elements for triggering state transitions. Traditional testing tools such as Monkey Test generate random event sequences that fail to generate valid events for these manipulated controls, which can easily lead the test into a loop that cannot be recovered from a particular interface state. For this reason, this paper proposes a new automated testing framework named YOLOv5-ABLN-Test, which utilizes the model YOLOv5ABLN proposed in previous studies for control identification. Meanwhile, a new interface state determination strategy is proposed based on the improved ORB algorithm. The framework confirms the actual operable GUI controls by initiating GUI events to the recognized controls. We have implemented the framework as an Android application testing tool and compared it with the existing techniques in the industry through case studies of real-world applications.