Microsoft Technology Licensing, LLC

Pranish Atul Kumar

Jered D Aasheim

David B Appel

Paul Fraedrich Estes

Raymond Robert Ringhiser

Keith Douglas Senzel

Peter E Loforte

Tai Chian Chou

Kun Zhang

Punit Narendra Java

Cory Alan Hendrixson

Robert C Houser

Paul Adrian Foy

Stephan Schueerholz

Jason Whitehorn

A method may include accessing a ratings datastore, the rating datastore including ratings for users with respect to a feature of a software application; transmitting a request for generating a content unit with respect to the feature to a first user of the users based on the first user's ratings for the feature in the ratings datastore; receiving the content unit from the first user; selecting a set of users from a first class of users to review the received content unit based on the set of users' respective ratings for the feature in the ratings datastore; storing the received content unit in a content datastore as associated with a content rating for the feature based on ratings received from the set of users.

Automated content generation

A method may include receiving request from a first user via an application, for assistance with completion of a document within the application; determining expected characteristics of the completed document, the expected characteristics identifying: a plurality of tasks to be performed to generate the completed document; and a document value; performing a computer-implemented matching process to match the first user with a second user based on the plurality of tasks and document value; and configuring permissions of the application to allow collaborative editing within the application between the first user and second user to complete the document.

System for collaborative editing based on document evaluation

A method may include accessing user activity data with respect to performances of a feature within an electronic application by a user; calculating a similarity score for the user with respect to a level of proficiency for the feature based on the accessed user activity data; and based on the similarity score meeting a threshold value: updating a level of proficiency value in a user profile for the feature of the electronic application; and enabling the user to enter into a collaborative editing mode with another user to complete a document using the feature of the application.

System for classification based on user actions

A method may include maintaining in a database, a plurality of documentation content items for an application; receive, from a user, a request to modify a content item of the plurality of documentation content items, the content item associated with a feature of the application; accessing a rating of the user with respect to the feature; and based on the rating meeting a threshold: authorizing the user to modify the content item; receiving modifications to the content item from the user; and updating the content item in the database based on the modifications.

Metric-based content editing system

A method may include identifying a first set of objects that are part of a document, the document created by an application, and the first set of objects placed in the document by a first user; based on the first set of objects, determining an intent of the first user for the document; automatically adding, by the application, a second set of objects to the document according to the intent; and configuring permissions of the document to allow collaborative editing within the application between the first user and a second user to add a third set of objects to the document.

Machine learning using collaborative editing data

A computer system assists in fixing issues. Ticket management logic receives an issue detected on a device. Diagnosing logic identifies the issue based on contextual information received from the device and stores issue data related to the issue into a data store. Routing logic receives an indication of a flagged component of the issue data, flagged by a developer, and initiates communication between a user and the developer based at least in part on the flagged component.

Automated system for fixing and debugging software deployed to customers

A network toolset enables developers to automatically generate a C header file and underlying signal software, as well as automatically generate a managed code assembly from a network description. The managed code assembly can be generated in a binary format and may include sufficient metadata to support extended functionalities for a network. The managed code assembly can be relatively easily integrated with an existing image (e.g., machine code for a network device) without any compilation required. A software development kit can also be generated to help programmers manage the generated assemblies.

Generation of managed assemblies for networks

Unrecoverable electronic correction code (ECC) errors in memory storage devices are usually preceded by recoverable ECC errors. A memory storage device controller is provided notice of the recoverable errors and associated information. The memory storage device controller can cause the data having the recoverable information to be rewritten on the memory storage device. Rewriting the data on the memory storage device (often in a different location) normally reduces the probability of encountering data with unrecoverable data errors.

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Sammamish, WA, United States of America

Pranish Atul Kumar