Microsoft Technology Licensing, LLC

Simon Calvert

Nikhil Kothari

Bertrand Le Roy

Eilon J Lipton

Kesavan Shanmugam

Michael James Harder

Mark Alistair Wilson-Thomas

Matthew E Gibbs

Andrew Cheng-min Lin

Christopher Douglas Edmonds

Michael C Fanning

David S Ebbo

Timothy Scott Rice

Felix Gerard Torquil Ifor Andrew

Andrew R Sterland

Brian Keith Pepin

Elliot H Omiya

Gregg Bernard Miskelly

Michael R Harsh

Bulusu Krishna Mohan

John Sells Tilford

Srivatsn Narayanan

Deborah Chen

Erich Gamma

Robert Alan Paveza

Harold L Pierson, Iii

Jonathan Preston Carter

Daniel James Moseley

Francisco Javier Wong

Andriy Stasyuk

Jeffrey T Fisher

Zhaochuan Gao

Charles Eric Lantz

Karthik Vivek Nadig

Taylor C Woll

Dmitry Robsman

Erik B Olson

Joseph M Davis

Anson Michael Horton

Marc Manuel Johannes Brockschmidt

Miltiadis Allamanis

Paul Yuknewicz

Ting-Hao Yang

Roger F Grambihler

Antoine Cote

Charles Bissonnette

Jonathan Daniel Keech

Jeffrey Thomas Chrisope

Guillermo Serrato Castilla

Fred W Balsiger

Vivian Julia Lim

Julien Jacques Nicolas Ellie

James Roy Schmelzer, Jr

Donna Wallace

Meghan Rae Perez

Jason Ronald William Ramsay

Russell Mayo Sasnett

David Vincent Reed

Joshua Bates Stevens

Corrina Barber

Joseph F Kubiniec

Christopher Dias

Graeme Mott

Qing Ye

Dirk Baumer

Rodrigo Andres Varas Silva

Harold L Iii Pierson

Gregg Miskelly

Bertrand Claude Le Roy

Providing custom machine learning models to client computer systems. Multiple machine learning models are accessed. Client-specific data for multiple client computer systems are also accessed. For each of at least some of the client computer systems, performing the following actions: First, using the corresponding client-specific data for the corresponding client computer system to determine which subset of the multiple machine learning models is applicable to the corresponding client computer system. The subset of the multiple machine learning models includes more than one of the multiple machine learning models. Then, aggregating the determined subset of the multiple machine learning models to generate an aggregated subset of machine learning models that is customized to the corresponding client computer system.

Providing custom machine-learning models

A collaboration session is provided in which an owner computer system and a participant computer system are both members. While working within this session, the participant computer system is provided access to a multi-file workspace that is stored locally on the owner computer system. The owner computer system receives a request from the participant computer system. The request is used to gain access to the owner computer system's language service. In response to this request, the owner computer system remotes its language service so that the language service is accessible to the participant computer system.

Architecture for remoting language services

Improved techniques for asynchronously displaying the results of a codebase analysis service are provided herein. Initially, machine learning is applied to a corpus of model code. In doing so, a machine learning model is generated, where the model identifies coding practices that are included in the corpus of model code. After this model is generated, then the model is applied to a current codebase by comparing coding practices of the current codebase to the identified coding practices that were extracted, or rather identified, from the corpus of model code. Then, in response to detecting one or more differences between the current codebase's coding practices and the identified coding practices, where the differences satisfy a pre-determined difference threshold, a user interface is caused to display one or more insights. These insights beneficially provide additional detailed information describing the differences.

Displaying results of a codebase analysis service

A collaboration session is provided in which an owner computer system and a participant computer system are both members. Within this collaboration session, both the owner and the participant computer systems are provided access to a multi-file workspace's build instance. Here, the multi-file workspace and the build instance are both stored locally on the owner computer system. Further, this workspace includes multiple files of source code. As a result, the build instance is a build of that source code. Various debug commands that are directed to the build instance may be received. Some of these commands originate from the owner computer system while others originate from the participant computer system. These debug commands are then multiplexed, and the build instance is executed in accordance with the multiplexed debug commands. As a result of executing the build instance, debugging data is generated.

Assistive, language-agnostic debugging with multi-collaborator control

A method for diagnosing computer readable instructions related to transfers of control is disclosed. A state transition of a unit of execution within a logical operation providing an event handler for a Document Object Model is logged during runtime of the computer readable instructions. Diagnostic information of the logical operation is associated with the state transition. The state transition and associated diagnostic information is provided for retrieval at a selected point in the computer readable instructions.

Diagnostics of state transitions

Improving how a codebase, which may include source code, related databases, test files, code history, and/or changes, is drafted, edited, debugged, or otherwise developed. Machine learning is performed on a model codebase to establish a machine learning model. When a change to a codebase occurs, the machine learning model may be applied to evaluate that change. A change context providing context for this change is accessed. An analyzer then analyzes the change using the machine learning model and at least a part of the change context to generate an analysis result. Some information about the result is rendered. After rendering that information, a determination regarding how a user responded to the information is performed, and a subsequent analysis is then modified based on the user's response.

Code development using continued machine learnings

A method for diagnosing computer readable instructions related to transfers of control is disclosed. A state transition of a unit of execution within a logical operation is logged during runtime of the computer readable instructions. Diagnostic information of the logical operation is associated with the state transition. The state transition and associated diagnostic information is provided for retrieval at a selected point in the computer readable instructions.

A data template that is used to generate arbitrary data of a user interface element that is part of the hierarchy of user interface elements used to render a user interface. The data template is used to generate the arbitrary data of the user interface element, even though that component is not also a user interface element. This contrast with the use of a user interface template which is used to generate the user interface element itself. This permits for greater control in defining the layout, content, and/or the look and feel of portions of the user interface element.

Data templates in user interface elements

An intra Web-page navigation history mechanism allows history points to be tracked even for state transitions within the same Web page. A Web page may be subjected to a number of different state changes as the Web application executes. Along the way, a number of the state changes may be tracked as history points. When a history point is created, associated state is also recorded. When the history point is again navigated to, a navigation event may be raised along with the associated state for the history point. Various components (whether on the server or client) may listen to that event and reconstruct their respective states by using selective portions of the reconstruction state.

Managing navigation history for intra-page state transitions

A web page generator dynamically and implicitly generates localized web content. A web developer can mark the content of a page (including controls and literal content) with resource keys, and can dynamically process this request by dynamically substituting the marked content with localized content. Multiple properties of the controls within a page may be localized.

Dynamic implicit localization of web content

Various technologies and techniques are disclosed that allow for repurposing content of a source web site for an external web site. The developer uses a programming feature to create a web page with a portion of content suitable for use in the form of a gadget control on an external web site. The developer sets up the portion of the web page for repurposing as the gadget control. When a request is received from the source web site to access the web page, the web page is displayed along with the displayable portion of content in the normal fashion. When a request is received from the external web site to access the portion of content in the form of the gadget control, the portion of content is provided to the external web site for use in the gadget control.

Cross domain presence of web user interface and logic

The present invention extends to methods, systems, and computer program products for providing localized resources for client-side script execution. Embodiments of the invention facilitate providing culturally localized resources for executing client-side scripts at Web browser. In some embodiments, client-side script reference tags refer to a script handler at the Web server (instead of an actual script). The script handler can a return localized resource sets for use with client-side scripts (that include calls to external resources). Accordingly, execution of client-side scripts can be localized in accordance with resources contain in the localized resource set. In other embodiments, a script manager using a generic script reference to identifying an appropriate localized instance of a script. Client-side script reference tags refer to the appropriate localized instance of the script. Accordingly, execution of a Web page can be localized in accordance with the localizations contained in the localized instance of the script.

Providing localized resources for client-side script execution

The present invention extends to methods, systems, and computer program products for identifying appropriate client-side script references. Embodiments of the invention facilitate tailoring a list of script references to send to a Web browser based on a list of script references included in a server page. Referenced scripts sent to a Web browser can differ from referenced scripts included in the server page. Script references sent to a Web browser can refer to scripts optimized for the execution environment of the Web browser and to scripts stored at preferred script sources. Further, duplicate script references are removed prior to sending a list of script references to the Web browser. Since script lists sent to Web browsers are tailored for execution environment and duplicates are removed, scripts can be loaded and processed more effectively at Web browsers.

Identifying appropriate client-side script references

A remote authoring service is described. Remote page authoring includes receiving a stream of data from a server that includes embedded control attribute data. The embedded control attribute data facilitates the generation of a proxy control and allows a web page designer to make modifications to dynamic elements of the webpage without requiring the executable code for the actual controls. The proxy control may provide preview data of the control to allow the client to perform authoring functions using the proxy control. Modifications made via the proxy control service may then be transmitted to the server where the controls are updated.

Remote authoring for dynamic web pages

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Issaquah, WA, United States of America

Simon Calvert