Abstract: In an example embodiment, actionable flows are found from customer tickets by autonomously reading and understanding customer queries using neural networks. Specifically, in an example embodiment, a deep neural network is trained to be utilized at two separate stages in a flow generation process. In one stage, the neural network is used to identify a list of repetitive queries from a repository of customer tickets. In another stage, the neural network is used to identify actionable flows from query steps obtained from the list of repetitive queries.

Abstract: A computer-implemented method can receive a request from a robotic process automation engine to identify a target user interface control element in a webpage represented by a current master data frame. The current master data frame comprises a current document object model (DOM). The method can determine that a target user interface control element identifier associated with the target user interface control element is absent in the current DOM. The method can retrieve an archived version of the target user interface control element from an archived master data frame of the webpage. The method can find an equivalent user interface control element within the current master data frame based at least on the archived version of the target user interface control element, and output an equivalent user interface control element identifier associated with the equivalent user interface control element.

Abstract: The present disclosure involves systems, software, and computer implemented methods for automatically detecting user interface elements. One example method includes accessing master frame information for a user interface of an application. The master frame information includes first captured user interface information captured during a first execution of a scenario for the application. A subsequent execution of the scenario is performed, including capturing second captured user interface information. A determination is made that the subsequent execution of the scenario has not passed successfully, due to a non-functional error. A determination is made that the non-functional error is based on a failure to locate a user interface element specified in the master frame. A recovery strategy is performed, using the first captured user interface information and the second captured user interface information, to automatically locate the user interface element.

Abstract: A computer-implemented method can receive a request from a robotic process automation engine to identify a target user interface control element in a webpage represented by a current master data frame. The current master data frame comprises a current document object model (DOM). The method can determine that a target user interface control element identifier associated with the target user interface control element is absent in the current DOM. The method can retrieve an archived version of the target user interface control element from an archived master data frame of the webpage. The method can find an equivalent user interface control element within the current master data frame based at least on the archived version of the target user interface control element, and output an equivalent user interface control element identifier associated with the equivalent user interface control element.

Abstract: The present disclosure involves systems, software, and computer implemented methods for automatically detecting user interface elements. One example method includes accessing master frame information for a user interface of an application. The master frame information includes first captured user interface information captured during a first execution of a scenario for the application. A subsequent execution of the scenario is performed, including capturing second captured user interface information. A determination is made that the subsequent execution of the scenario has not passed successfully, due to a non-functional error. A determination is made that the non-functional error is based on a failure to locate a user interface element specified in the master frame. A recovery strategy is performed, using the first captured user interface information and the second captured user interface information, to automatically locate the user interface element.