A method of an automatic support service that includes receiving a request for additional assistance for an error from a user interface, retrieving error information from a logging system for the error, generating an error information collection interface, in response to the request, populating the error information collection interface with the error information from the logging system, sending the error information collection interface to be displayed to the user by the user interface, and receiving additional error information from the user via the error information collection interface.

Embodiments relate to capturing referenced information in a report to resolve a computer problem. A report for a problem is determined to contain at least one referenced document, the report being generated based on at least one log. Relevant content is determined in the at least one referenced document based at least in part on hint information associated with the at least one referenced document and a term in the report. An enhanced report is generated for the problem of the computer equipment by inserting the relevant content into the report. A problem experienced by computer equipment is resolved by causing execution of at least one operation identified in the enhanced report.

A method comprises receiving a request for validation of software comprising one or more applications, analyzing the request and generating one or more validation steps based at least in part on the analysis. In the method, a time to complete the one or more validation steps is predicted. The predicting is performed using one or more machine learning models, and is based at least in part on a type and a number of the one or more applications.

Techniques for storage management involve: obtaining information indicating an error of a storage device of a data storage system; if the number of occurrences of the error within a predetermined time period exceeds a predetermined threshold, stopping obtaining the information indicating the error; and generating an event indicating whether the number of occurrences of the error within the predetermined time period exceeds the predetermined threshold for further diagnosis of the error. As a result, errors from the storage device can be automatically managed, which helps to improve the data storage system's capacity to handle different types of errors of the storage device.

A fabric connection assist system includes a networking device coupled to a fabric management system and a mobile device via a network. The networking device receives fabric connection information for its port from the fabric management system. When the mobile device subsequently identifies that port to the networking device, the networking device identifies fabric connection components to the mobile device that are indicated by the fabric connection information as being supported by its port. When the mobile device subsequently identifies a first of the fabric connection components to the networking device, and the networking device then detects that the first fabric connection component has been connected to its port, the networking device transmits a first fabric connection component confirmation communication to the mobile device that is configured to display a confirmation on the mobile device of the connection of the first fabric connection component to its port.

A system displays a fault tree of a generated event on the basis of input information including diagnosis result information representing results of diagnosis of the cause of the generated event. The input information includes information representing causal relationships between a plurality of elements, including the generated event, failure causes that may be a cause of the event, and check items associated with the failure causes. The diagnosis result information includes an occurrence probability of each failure cause. The system determines, as highlighting target edges, all edges belonging to a path from a node corresponding to the generated event to a node corresponding to a failure cause having an occurrence probability that satisfies predetermined probability conditions, and all or some edges coupling the node corresponding to the failure cause having an occurrence probability that satisfies the predetermined probability conditions to nodes corresponding to check items associated with the failure cause.

Disclosed herein is a system. The system includes a memory and a processor. The memory stores processor executable instructions for a migration engine. The processor is coupled to the memory. The processor executes the migration engine to cause the system to implement an export operation for an on premises system to mine for data corresponding to automations or user specific arrangements. The processor, also, executes the migration engine to cause the system to implement an import operation of the data to a cloud environment to replicate the automations or user specific arrangements.

In an ultrasound system and a control method of the ultrasound system, in a case where occurrence of an error is detected, first operation information as at least one piece of operation information with the highest priority among a plurality of pieces of operation information corresponding to a type of the error that has occurred is displayed, and in a case where the number of times of the operation corresponding to the first operation information, which is performed by the user, has reached a predetermined number within a predetermined period after the first operation information is displayed, second operation information as at least one piece of operation information with the highest priority next to the first operation information is displayed.

A selection associated with a desired set of visual information, associated with a system on chip (SOC) that includes a hardware functional module and a firmware functional module, is received. A template is selected from a plurality of available templates based at least in part on the selection associated with the desired set of visual information. The selected template is used by the SOC to generate reported information, including by configuring the hardware functional module, as prescribed by the selected template, to generate select hardware-reported information and configuring the firmware functional module, as prescribed by the selected template, to generate select firmware-reported information. The reported information is received and the desired set of visual information is displayed.

A computer system provides performs defect tracking and remediation. Video data is received, from a client computing device, corresponding to a recording of a graphical user interface of an application of the client computing device, wherein the video data is obtained in response to the application encountering an error. Feedback is obtained from a user of the client computing device by engaging the user via a natural language processing model. The video data and the feedback are analyzed to determine one or more operations to reproduce the error. One or more corrective actions, based on the determined one or more operations, are provided to remediate the error in the application. Embodiments of the present invention further include a method and program product for performing defect tracking and remediation in substantially the same manner described above.