A cloud-based API metadata management method and system. The cloud-based API metadata management method includes the step of installing an API tool by loading the API tool stored in a database by an API tool installation unit of a cloud server, the step of defining a standard API by the API tool installation unit of the cloud server, and creating an API for each hospital server by an API creation unit, and the step of testing the created API for each hospital server by a test unit of the cloud server, correcting data if there is error data, and storing and distributing the data and API for each hospital server if there is no error data.

A cloud-based API metadata management method and system. The cloud-based API metadata management method includes the step of installing an API tool by loading the API tool stored in a database by an API tool installation unit of a cloud server, the step of defining a standard API by the API tool installation unit of the cloud server, and creating an API for each hospital server by an API creation unit, and the step of testing the created API for each hospital server by a test unit of the cloud server, correcting data if there is error data, and storing and distributing the data and API for each hospital server if there is no error data.

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.

A technique includes accessing, by at least one hardware processor, a recorded request and a recorded response associated with an integration test involving a first computer system and a second computer system. The recorded request was previously issued by the first computer system to the second computer system to cause the second computer system to provide the recorded response. The technique includes, in a virtualized integration test involving the second computer system and initiated using the recorded request, comparing, by the hardware processor(s), the recorded response to a request produced by the second computer system in the virtualized integration test. The technique includes identifying, by the hardware processor(s), an action taken by the second computer system as being likely to be associated with a regression based on the comparison.

Immersive web-based simulator for digital assistant-based applications is provided. A system can provide, for display in a web browser, an inner iframe configured to load, in a secure, access restricted computing environment, an application configured to integrate with a digital assistant. The application can be provided by a third-party developer device. The system can provide, for display in a web browser, an outer iframe configured with a two-way communication protocol to communicate with the inner iframe. The system can provide a state machine to identify a current state of the application loaded in the inner frame, and load a next state of the application responsive to a control input.

A processor includes an execution pipeline that includes a plurality of execution stages, execution pipeline control logic, and a debug system. The execution pipeline control logic is configured to control flow of an instruction through the execution stages. The debug system includes a debug pipeline and debug pipeline control logic. The debug pipeline includes a plurality of debug stages. Each debug pipeline stage corresponds to an execution pipeline stage, and the total number of debug stages corresponds to the total number of execution stages. The debug pipeline control logic is coupled to the execution pipeline control logic. The debug pipeline control logic is configured to control flow through the debug stages of debug information associated with the instruction, and to advance the debug information into a next of the debug stages in correspondence with the execution pipeline control logic advancing the instruction into a corresponding stage of the execution pipeline.

A processor includes an execution pipeline that includes a plurality of execution stages, execution pipeline control logic, and a debug system. The execution pipeline control logic is configured to control flow of an instruction through the execution stages. The debug system includes a debug pipeline and debug pipeline control logic. The debug pipeline includes a plurality of debug stages. Each debug pipeline stage corresponds to an execution pipeline stage, and the total number of debug stages corresponds to the total number of execution stages. The debug pipeline control logic is coupled to the execution pipeline control logic. The debug pipeline control logic is configured to control flow through the debug stages of debug information associated with the instruction, and to advance the debug information into a next of the debug stages in correspondence with the execution pipeline control logic advancing the instruction into a corresponding stage of the execution pipeline.

A vehicle includes a data communication network, a serial data bus, and a plurality of electronic nodes in signal communication with the serial data bus. The vehicle further includes a node identification system configured to store a several different diagnostic tests, along with expected operating data corresponding to a given diagnostic test. The node identification system sorts the plurality of nodes into individual node groups in response to performing one or more diagnostic tests among the different available diagnostic tests.

A vehicle includes a data communication network, a serial data bus, and a plurality of electronic nodes in signal communication with the serial data bus. The vehicle further includes a node identification system configured to store a several different diagnostic tests, along with expected operating data corresponding to a given diagnostic test. The node identification system sorts the plurality of nodes into individual node groups in response to performing one or more diagnostic tests among the different available diagnostic tests.

A system and methods for contact center fault diagnostics, comprising a diagnostic engine and datastore of test cases used for testing components and services in a contact center, designed to operate on a contact center with a specified test campaign, allowing a contact center's various services and systems to be tested either internally or externally in an automated fashion with specified testcases being used to specify the format and expectations of a specific test, with reports of failures and points of failure being made available to system administrators.