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 The method can retrieve an archived version of the target user interface control element from an archived master data frame of the webpage.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 The method can retrieve an archived version of the target user interface control element from an archived master data frame of the webpage.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: Described herein are technologies pertaining to presenting a map to a user that comprises graphical icons that are representative of retail stores. The user has provided a shopping list, wherein the shopping list includes a plurality of products that are desirably purchased by the user. Inventories of retail stores in a geographic region of interest to the user are searched, and a map is generated that includes graphical icons representative of the retail stores, data that indicates that product(s) in the shopping list are available at the retail stores, and price data that indicates prices of product(s) in the shopping list at the respective retail stores.

Abstract: In one aspect, there is provided a method for software testing. In one aspect, there is provided a method. The method may include executing a test script including at least one test instruction requiring an input at a user interface element displayed on a screen of a device under test; determining, based on a machine learning model, a candidate location on the screen of the device under test, the candidate location representing a candidate portion of the screen having the user interface element for the required input associated with the at least one test instruction; recognizing, based on optical character recognition, one or more characters in the determined candidate location; selecting, based on the recognized characters, the determined candidate location as the user interface element having the required input; and executing an inserted value at the determined candidate location to test a result of the test script execution.

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: In one aspect, there is provided a method for software testing. In one aspect, there is provided a method. The method may include executing a test script including at least one test instruction requiring an input at a user interface element displayed on a screen of a device under test; determining, based on a machine learning model, a candidate location on the screen of the device under test, the candidate location representing a candidate portion of the screen having the user interface element for the required input associated with the at least one test instruction; recognizing, based on optical character recognition, one or more characters in the determined candidate location; selecting, based on the recognized characters, the determined candidate location as the user interface element having the required input; and executing an inserted value at the determined candidate location to test a result of the test script execution.

Abstract: Described herein are technologies pertaining to presenting a map to a user that comprises graphical icons that are representative of retail stores. The user has provided a shopping list, wherein the shopping list includes a plurality of products that are desirably purchased by the user. Inventories of retail stores in a geographic region of interest to the user are searched, and a map is generated that includes graphical icons representative of the retail stores, data that indicates that product(s) in the shopping list are available at the retail stores, and price data that indicates prices of product(s) in the shopping list at the respective retail stores.

Abstract: Described herein are technologies pertaining to presenting a map to a user that comprises graphical icons that are representative of retail stores. The user has provided a shopping list, wherein the shopping list includes a plurality of products that are desirably purchased by the user. Inventories of retail stores in a geographic region of interest to the user are searched, and a map is generated that includes graphical icons representative of the retail stores, data that indicates that product(s) in the shopping list are available at the retail stores, and price data that indicates prices of product(s) in the shopping list at the respective retail stores.

Abstract: Described herein are technologies pertaining to presenting a map to a user that comprises graphical icons that are representative of retail stores. The user has provided a shopping list, wherein the shopping list includes a plurality of products that are desirably purchased by the user. Inventories of retail stores in a geographic region of interest to the user are searched, and a map is generated that includes graphical icons representative of the retail stores, data that indicates that product(s) in the shopping list are available at the retail stores, and price data that indicates prices of product(s) in the shopping list at the respective retail stores.

Abstract: Described herein are technologies pertaining to presenting a map to a user that comprises graphical icons that are representative of retail stores. The user has provided a shopping list, wherein the shopping list includes a plurality of products that are desirably purchased by the user. Inventories of retail stores in a geographic region of interest to the user are searched, and a map is generated that includes graphical icons representative of the retail stores, data that indicates that product(s) in the shopping list are available at the retail stores, and price data that indicates prices of product(s) in the shopping list at the respective retail stores.

Abstract: Described herein are technologies pertaining to presenting a map to a user that comprises graphical icons that are representative of retail stores. The user has provided a shopping list, wherein the shopping list includes a plurality of products that are desirably purchased by the user. Inventories of retail stores in a geographic region of interest to the user are searched, and a map is generated that includes graphical icons representative of the retail stores, data that indicates that product(s) in the shopping list are available at the retail stores, and price data that indicates prices of product(s) in the shopping list at the respective retail stores.