Microsoft Technology Licensing, LLC

Other

Sugandha SudeshKumar Kapoor

Christopher J Brown

Zhenjun Zhu

Jonathan Bailor

Gareth Alan Howell

Patrick Michael Gan

Brian Daniel Meersma

Donovan P Lange

Nicholas Michael Simons

Orkhan Muradov

Vivek Mogalapalli

Dong Ming

Nikhil Vilas Kulkarni

Matthew James Ruhlen

Juraj Gottweis

Uladzislau Sudzilouski

Kiran Akella Venkata

Theo Lorrain-Hale

Simoune Rebekah Morena Valerio Lucas

Brendyn O'Dell-Alexander

Cosmin Catrinescu

Xiaojun Li

Yi Ke

Vanessa Harris

Nicholas Allen Robarge

Maria Montserrat Lozano Dieck

Andrew Boktor

Michal Bloch Ron

Vishwak Reddy Neravetla

Kori Michelle Loomis

Rajat Kumar

A system and method for automated validation testing of software applications during software development and after development stages of the product life lifecycle. The disclosed system uses pre-trained machine learning models and image recognition algorithms to generate test cases and test data from text and images in product specification documents of the software applications.

System and method for automated generation of test cases and test data for validating a software application

Non-limiting examples of the present disclosure pertain to management over the type of notification that is generated and presented to a user relative to an occurrence of a message notification. Processing is executed that evaluates a relevance of a content update to content that is already presented to a user through host application/service endpoints. This helps determine how to present a graphical user interface (GUI) notification as well as link that GUI notification to existing communications that are identified as contextually relevant. Trained artificial intelligence modeling is applied that executes relevance analysis to aid generation of a GUI notification. Said relevance analysis correlates a content portion, of a content update, with a content sub-range assigned in a live representation of the distributed collaborative canvas, where a live representation is an editable and synchronized representation of the distributed collaborative canvas that presents the content sub-range inline within a host application/service endpoint.

Automated notification of content update providing live representation of content inline through host service endpoint(s)

The present disclosure is directed to automated notification generation, where a generated notification comprises a live representation of a content update that is linked and synchronized with a distributed collaborative canvas (or other source content) comprising the content portion which is being updated. A non-limiting example of a content update is a message notification, such as an at-mention (@mention), that is included inline within a content portion. Other triggers for automated notification generation are also described. Generation of an exemplary notification comprises a contextual relevance analysis that not only selects, for a recipient of the message notification, a specific host application/service endpoint to present the notification in but also determines how/what specific content to present inline within the selected host application/service endpoint. The notification is automatically generated and provided to a selected host application/service endpoint for rendering of the notification inline with content of the host application/service endpoint.

Embodiments are provided for utilizing server pre-processing to deploy static renditions of electronic documents in a computer network. An electronic document may be published from a client computer to a first server computer in the computer network. During publication, the first server computer may create a static rendition of the electronic document and a viewing application for viewing the static rendition of the electronic document on the client computer. The first server computer may store the static rendition of the electronic document and the viewing application on a second server computer for delivery to the client computer. Other embodiments may also include receiving, at the first server computer, a request to make revisions to the electronic document and sending a dynamic version of the electronic document from the first server computer to the client for making the revisions to the electronic document.

Utilizing server pre-processing to deploy renditions of electronic documents in a computer network

A document accessible on a network may be opened by multiple users. A user may use a thin client application to access the document, wherein an image of the document and XML data including comments and locations of the comments in the document. Hint icons are displayed in the document where comments are anchored. Upon selection of a hint, an HTML comments pane may be displayed to a side of the document, exposing comments and replies to comments currently stored in the document. The comments pane may be scrolled to the comment associated with the selected hint. Additionally, highlighting may be provided over elements in the document associated with a selected comment. Comments may be added via the comments pane and saved to the document on the network. Comments and comment location data may be communicated to other clients, allowing for collaborative communication via a thin client application.

Collaborative communication in a web application

Portions of content are transformed into portions of rendered content. While the portions of the content are being transformed into portions of the rendered content, each discrete portion of the rendered content can be provided to the application program after that portion is completed.

Content rendering on a computer

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Sammamish, WA, United States of America

Sugandha SudeshKumar Kapoor