Dell Products Inc.

Gavin Richard Cato

Vinay Sawal

Vivek Dharmadhikari

Sachinrao Chittaranjan Panemangalore

Kuntal Atulbhai Patel

Joseph LaSalle White

Krishnamurthy Subramanian

Mark Steven Sanders

Aspects of the present disclosure relate to systems and methods that help automate the generation of a test vector. Every functional product, be it a service, device, or combination thereof, has one or more documents associated with it. These documents may include such documentation as: (1) Release Notes; (2) Configuration Guides; (3) command line interfaces (CLIs)/application program interfaces (APIs); (4) Data Sheets; (5) Installation Guides; (6) User Manuals; (7) Errata notices; and (8) other documentation. In embodiments, command data-models and ranges and sequence of valid inputs to the data-model are extracted from natural language expressions in documentation related to a specific product. In embodiments, this extracted information is used to generate one or more table of attributes and properties or constraints about which a test vector may be generated for testing a command.

Test vector generation from documentation

Aspects of the present disclosure relate to systems and methods that help a user manage a functional product. Every functional product, be it a service, device, or combination thereof, has one or more documents associated with it. These documents may include such documentation as: (1) Release Notes; (2) Configuration Guides; (3) command line interfaces (CLIs)/application program interfaces (APIs); (4) Data Sheets; (5) Installation Guides; (6) User Manuals; (7) Errata notices; and (8) other documentation. In embodiments, command extracted from the documents along with features available in the functional product and user history (if any) may be used to help suggest one or more commands for a user managing or using the functional product.

User-specific customization for command interface

Embodiments for translating an input message into a device specific command for a network interface device, by: receiving the input message as a generalized language message at an input interface; separating the input message into its language parts to identify keyword elements; identifying keyword actions, targets, and variables used to indicate corresponding device specific commands; classifying the keyword elements against a learned language map to identify a best match action; utilizing the best match action to access a playlist data set for the device specific commands of the target device for execution; and providing a feedback path to a learning mechanism for adding new message and language semantics into the learned language map when identification of the best match action is unclear.

Natural language translation interface for networked devices

Aspects of the present invention provide a more universal, easy, natural, and vendor-agnostic interface to configure, manage, and/or monitor devices in networks. In embodiments, a user-friendly natural language interface voice interface may be used to 'live chat' with one or more devices. In embodiments, a natural language input from a user intended for a target device is received and converted into one or more properly formed commands that are target-specific for the target device and may be executed by the target device. In embodiments, results from the execution of the one or more commands may be appropriately formatted for presentation to the user.

Voice-based input using natural language processing for interfacing with one or more devices

Aspects of the present invention provide a more universal, easy, natural, and vendor-agnostic interface to configure, manage, and/or monitor devices in networks. In embodiments, a user-friendly natural language interface, such as a chat or messaging interface, may be used to 'live chat' with one or more devices. In embodiments, a natural language input from a user intended for a target device is received and converted into one or more properly formed commands that are target-specific for the target device and may be executed by the target device. In embodiments, results from the execution of the one or more commands may be appropriately formatted for presentation to the user.

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Los Gatos, CA, United States of America

Gavin Richard Cato