Microsoft Technology Licensing, LLC

Evan R Stavrou

Julie Christa Seto

Avijit Sinha

William Candler Butler

Naga Maruthi Kumari Yakkali

Henry Elias Stolz

G Eric Engstrom

Shashidhar Rajashekara

Palani Sundaramurthy

Roshan Khan

Ke Xue

The disclosed technology is generally directed to the identification of unobservable nodes. In one example of the technology, a set of monitored machines are monitored. Each of the monitored machines includes associated monitoring logic. Monitoring the set of monitored machines includes receiving the machine information from the monitoring logic. A total inventory list of the set of monitored machines is generated in a manner that is independent of the monitoring of the monitored machines. An agent inventory list is generated such that the agent inventory list is a list of machines that, based on the monitoring of the monitored machine, are determined to have been running monitoring logic during a particular time period. Unobservable machine information that is associated with a set of unobservable machines is determined based on a comparison of the total inventory list with the agent inventory list.

Unobservable node identification

A method for determining relevance for activity feeds is disclosed. Activity feeds are received from one or more business entities. Information is received regarding activities being performed by a user. Context information is received regarding the user. A user context is determined from the information the regarding activities being performed by the user and the context information. The user context indicates the current status of the user. A relevance of the activity feeds is determined based on the user context. At least some of the activity feeds are displayed on a computing device. The at least some of the activity feeds are displayed according to a priority determined by the relevance.

Contextual relevance engine for activity feeds

An authorization prompt issued from a server is detected, and previously-entered account information, is accessed on a user device. A selectable display element corresponding to each set of entered account information is displayed. User selection or actuation of a given display element is received, and the corresponding account information is retrieved and used to log onto the server that issued the authentication prompt.

Mapping account information to server authentication

Software in an electronic device can be tested using a combination of random testing and deterministic testing. In various embodiments, deterministic tests can run for a prescribed duration and/or a prescribed number of iterations before and/or after random testing. Test results can be weighted using a metric representing an amount of code that was stressed during testing. This metric can be determined by tracking software code that is loaded into memory during testing.

Testing software in electronic devices

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Seattle, WA, United States of America

Evan R Stavrou