Abstract: An image of a receipt may be received by a service provider from a user device of a user. The receipt may be a record of a transaction between the user and a physical merchant. The service provider may extract text from the image and apply a predictive model trained on text data of historical receipts to the extracted text to identify keywords corresponding to items purchased in the transaction. The service provider may generate a shopping list for the user and/or may compare the keywords to descriptions of catalog items in an online catalog maintained by the service provider to identify catalog items that are the same or similar to the purchased items. The service provider may associate the catalog items with the user's account maintained by the service provider and generate a user interface to present on the user device that includes an indication of the catalog items.

Abstract: A method of training a test system, including: running a predefined set of test procedures on the testing device in order to obtain a temporal test metric; evaluating the temporal test metric via a machine learning model by a processing circuit; and training the machine learning model by the processing circuit to predict a temporal course of a test stability score based on the temporal test metric obtained, wherein the training of the machine learning model is based on the temporal test metric together with a known binary test result, and wherein the temporal course of the test stability score indicates the probability of a respective binary test result throughout the entire duration of a test. A test system and a method for mobile network testing are also described.

Abstract: A computer-implemented method and system for binding digital rights management executable code to a software application are disclosed. The method and system include identifying a host code block in the host code section, copying the host code block from the host code section to a stub code block in the stub code section, and re-routing at least one reference of the host code block to be a reference of the stub code block.

Abstract: A computer-implemented method and system for embedding ancillary information into the header of a digitally signed executable are disclosed. The method and system include identifying a digital signature block and a digital signature size block in a digitally signed file header, modifying a digital signature size value in the digital signature size block, the modified value corresponding to the size of the digital signature block plus the length of an ancillary data block plus a pre-determined pad, storing the modified digital signature size in the digital signature size block, and appending the ancillary data block to the end of the digital signature block.

Abstract: A computer-implemented method and system for binding digital rights management executable code to a software application are disclosed. The method and system include identifying a host code block in the host code section, copying the host code block from the host code section to a stub code block in the stub code section, and re-routing at least one reference of the host code block to be a reference of the stub code block.

Abstract: A computer-implemented method and system for embedding ancillary information into the header of a digitally signed executable are disclosed. The method and system include identifying a digital signature block and a digital signature size block in a digitally signed file header, modifying a digital signature size value in the digital signature size block, the modified value corresponding to the size of the digital signature block plus the length of an ancillary data block plus a pre-determined pad, storing the modified digital signature size in the digital signature size block, and appending the ancillary data block to the end of the digital signature block.