An arrangement for automated testing of mobile devices comprising a learning arrangement for learning how to use test devices that do not match with an earlier already defined test case pattern. In the arrangement the learning arrangement generates instructions for performing a set of tasks. The tasks are then executed in the mobile device being tested. The mobile device provides feedback in form of error/success messages, screenshots, source code, return values and similar. Based on the feedback and earlier accumulated information the learning entity can generate a new set of instructions in order to execute the set of tasks successfully.

Methods and apparatus for automatic qubit calibration. In one aspect, a method includes obtaining a plurality of qubit parameters and data describing dependencies of the plurality of qubit parameters on one or more other qubit parameters; identifying a qubit parameter; selecting a set of qubit parameters that includes the identified qubit parameter and one or more dependent qubit parameters; processing one or more parameters in the set of qubit parameters in sequence according to the data describing dependencies, comprising, for a parameter in the set of qubit parameters: performing a calibration test on the parameter; and performing a first calibration experiment or a diagnostic calibration algorithm on the parameter when the calibration test fails.

There is provided a method for defining an automated test configured, when executed, to test a system under test comprising one or more computer programs being executed on one or more computer devices. The system under test comprises a plurality of operational states, at least one operational state having one or more executable actions associated therewith operable to execute predetermined operations and/or transition the system under test between operational states. The method comprises the steps of: a) defining an executable model of the system under test comprising a plurality of model states, wherein at least some of the model states are representative of operational states of the system under test; and b) defining one or more selectable model actions, each model action being representative of one or more executable actions on the system under test and configured such that one or more preconditions are assignable thereto, wherein each model action is configured to be available to be selected unless any preconditions assigned to the respective model action are not satisfied, wherein the model is configured such that, when executed, a test program is operable to select a sequence of available model actions to define an automated test.

A service system and a server capable of increasing an operation rate of a production base are provided. The server acquires operation information of a component mounter in a mounting work from a host computer in the production base. The server generates analyzed result data obtained by analyzing the operation information based on the types of the manufacturers (component manufacturer and the package manufacturer) of electronic component and the package. The server transmits the generated analyzed result data to host computers in the other production bases.

This disclosure relates to an electronic device. The electronic device includes a non-transitory storage device, one or more peripherals, wherein the one or more peripherals are disabled, a processor configured to transmit a request to enable a peripheral of the one or more peripherals, and a power reset manager module. The power reset manager module is configured to receive the request to enable the peripheral. The power reset manager module includes a first memory configured to store, in response to the received request, an indication that peripheral was enabled. The processor is further configured to copy contents of the first memory to the non-transitory storage device and output the indication that the peripheral was enabled as a part of an update procedure.

Systems, computer program products, and methods are described herein for implementing an intelligent validation protocol within a cloud infrastructure. The present invention is configured to receive a request to invoke the intelligent validation protocol on one or more cloud service component clusters; determine one or more operating systems associated with the one or more cloud service component clusters; determine one or more validation requirements for the one or more operating systems; dynamically invoke, using the intelligent validation protocol, a multi-checkpoint validation subroutine on the one or more operating systems; determine whether the one or more operating systems meet the one or more validation requirements; initiate a dashboard script configured to generate an analysis interface indicating whether the one or more operating systems meet the one or more validation requirements; and transmit control signals configured to cause the computing device of the user to display the analysis interface.

A system includes one or more databases configured to store at least one configuration rule and one or more processors in communication with the databases. The processors may be configured to compare a product parameter to configuration rules to determine a drift item based on a current value of the product parameter being different than acceptable values defined by a test specified by the configuration rule, the test comprising one of a plurality of test types. The processors may be further configured to store, based on a determination that the drift item is not in a drift database of the databases, the drift item in a database, receive a record of one or more actions performed to resolve the drift item, and in response to receipt of the record, modify a status of the drift item from unresolved to resolved in the database.

A method of processing diagnostic data including receiving a template file and a diagnostic file. Processing the diagnostic data based upon the template file where array and non-array portions of the data are treated differently.

Methods and apparatus for automatic qubit calibration. In one aspect, a method includes obtaining a plurality of qubit parameters and data describing dependencies of the plurality of qubit parameters on one or more other qubit parameters; identifying a qubit parameter; selecting a set of qubit parameters that includes the identified qubit parameter and one or more dependent qubit parameters; processing one or more parameters in the set of qubit parameters in sequence according to the data describing dependencies, comprising, for a parameter in the set of qubit parameters: performing a calibration test on the parameter; and performing a first calibration experiment or a diagnostic calibration algorithm on the parameter when the calibration test fails.

Methods and systems are provided for validating and registering an IHS (Information Handling System) and components of the IHS for technical support. Upon delivery and initialization of an IHS, an inventory certificate that was uploaded to the IHS during factory provisioning of the IHS is retrieved. The inventory certificate includes an inventory that identifies factory-installed hardware components in the IHS. The inventory also specifies whether a registration requirement has been specified for the IHS, such as to initiate technical support. While still operating a pre-boot validation process, an inventory is collected of the detected hardware components of the IHS. Based on the inventory certificate, the validation process confirms whether a detected hardware component is a factory-installed hardware component and determines whether registration is required. If required, registration of the IHS is initiated by the validation process and initialization of the IHS continues.