Patent attributes
Described herein are techniques that may be used to automate testing of services on mobile devices using visual analysis. In some embodiments, a machine learning model is trained using interaction data received from a number of mobile devices by correlating user selections with visual elements (e.g., icons). During execution of a testing routine on a mobile device, screenshots are obtained of a screen of the mobile device and provided to the machine learning model. An action is generated based on the provided screenshot that simulates a user action (e.g., a user touch on the screen of the mobile device) at a location of an icon or other visual element associated with the testing routine. These steps are repeated until an end-state of the testing routine is detected.
