Microsoft Technology Licensing, LLC

Julian Jiggins

Hadi Partovi

Steven J Freedman

Roberto Anthony Franco

Raymond Edward Endres

James E Allard

David J D'Souza

Brian D Wentz

Li-Hsin Huang

Jingyang Xu

Edward J Praitis

Eric Robert Berman

Stephen Proteau

Quji Guo

Erik Jon Snapper

Bharat Shyam

Erik Castedo Ellerman

Clint C Jorgenson

Leonard J Peterson

Frank Z Chang

Venkatavaradhan Panchapagesan

The present invention is generally directed to improving the stability of computing devices by identifying plug-in modules and other programs that cause failures. More specifically, the present invention provides a method that traces program execution from an instruction that ultimately generated a failure to a code library that caused the failure generating instruction to be executed. The method traces execution of the computing device by obtaining the contents of memory at the time of the failure and traversing the stack data structure that stores data items necessary to execute function calls.

Identifying a code library from the subset of base pointers that caused a failure generating instruction to be executed

A system and method is provided for learning data values over time as they are entered by a user on a form such as a web page form. An Internet web browser can be modified to suggest previously used data values for any form field that is the same as or similar to a previously used form field. Application programs that use the web browser can gain access to previously used form field values even if they have no knowledge of the field names. Software in a web browser associates field names across different Universal Resource Locators (URLs), so that when a user enters a value into a field (e.g., username) at a first web site, that same value can be automatically suggested when the user displays a different form on a different web site that uses the same field name.

System and method for populating forms with previously used data values

A client-based system has a scheduling subsystem to schedule a time to obtain the Web content from the server. When the client reaches the scheduled time, the scheduling subsystem generates an event notification that contains sufficient information explaining how to retrieve the Web content. The client-based system has a delivery subsystem that is responsive to the event notification to obtain the Web content at the time set by the scheduling subsystem. The delivery subsystem preferably has multiple delivery modules that enable different types of distribution mechanism. In addition to the Web content or data itself, the delivery subsystem obtains an index to the Web content. The index summarizes the Web content to facilitate local search and find tasks. The index and Web content are stored in a cache at the client. An indexing subsystem presents the index to a user and enables the user to select from the index portions of the Web content that they prefer. Based on these preferences, filters are created to remove items not of interest. When the client is offline, the user browses the cached Web content. The user is offered essentially the same functionality as a live online session, except that any requests to a remote server are temporarily accumulated for later submission. When the client reconnects to the server, all accumulated data is sent in batch to the appropriate servers. The user can also create his/her own channel by aggregating content from different channels.

Client-side system for scheduling delivery of web content and locally managing the web content

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Seattle, WA, United States of America

Julian Jiggins