Microsoft Technology Licensing, LLC

Arun Mathew Abraham

Christopher Lovett

Suhail Dutta

Mark A Groves

Gareth Alun Jones

Andrew Craig Bragdon

Jing Fan

David Charles Kilian

Louisa Rose Millott

Yu Xiao

Kevin J Blasko

Sergey Kanzhelev

Zaki Maksyutov

David J Lubash

Dmitry G Matveev

Soubhagya Kumar Dash

Brian Robert Crawford

Andrew Byrne

Douglas Jay Rosen

Jun Su

John Joseph Jordan

Jean-Marc Prieur

Peter Gerard Provost

David N Trowbridge

Durham Montgomery Goode

Patrick Shyhuei Tseng

Daniel Vann

Allen Wayne Denver

Vu T Tran

Dimah S M Zaidalkilani

John R Gardner, Jr

Haiying Xu

Bernard Tschirren

Bernie Tschirren

Abhishek Shah

Resolving conflicting changes to structured data files. A method includes for a structured data file which has both a generic structure and dialects built on top of the generic structure, for which conflicting changes have been made, and where an original version of the structured data, a first version of the structured data and a second version of the structured data exist, determining a dialect of the structured data. The method further includes, based on the determined dialect performing at least one of merge or diff operations on the original version of the structured data, the first version of the structured data and the second version of the structured data.

Semantic diff and automerge

Techniques are described for sampling across trusted and untrusted distributed components. In accordance with embodiments, a first computing device receives a request from a second computing device, the first request including an operation identifier (ID) and a sampling ID that was generated by transforming a telemetry scope ID from a first value in a first domain to a second value in a second domain. The transformation may serve to anonymize and compress the telemetry scope ID. The first computing device determines whether or not to sample by comparing a ratio between the sampling ID and a size of the second domain with a sampling rate associated with the first computing device. The first computing device records telemetry about its processing of the first request in response to determining to sample and does not record any telemetry about its processing of the first request in response to determining not to sample.

Sampling across trusted and untrusted distributed components

Systems and processes that group and present telemetry data for an application monitoring visualization are described. A plurality of telemetry items having telemetry data is grouped into a type having a plurality of dimensions. The telemetry data is presented in a first set of values of a first dimension of the plurality of the dimensions against a measurement as elements in a primary section of the visualization. The telemetry data is presented in a second set of values of a second dimension of the plurality of the dimensions in counts as elements in a filter section of the visualization.

Multidimensional application monitoring visualization and search

Tools and techniques assist developers with the detection of memory leaks by using correlation of data type memory usage trends. In particular, investigations of memory leaks can be prioritized without always resorting to the use of bulky and performance-degrading memory dumps, by using these tools and techniques to identify leaky correlated data types. Data about a program's memory usage is processed to identify memory usage trends over time for respective data types, and the trends are searched for significant correlations. Correlated trends (and hence their corresponding data types) are grouped. Memory usage analysis information is displayed for grouped data types, such as the names of the most rapidly leaking data types, the names of correlated data types, leak rates, and leak amounts in terms of memory size and/or data object counts. Memory usage data may also be correlated with processing load requests to indicate which requests have associated memory leaks.

Memory leak analysis by usage trends correlation

The present invention extends to methods, systems, and computer program products for identifying impacted tests from statically collected data. In general, static dependency data, possibly augmented with some dynamic data, is used to find an appropriate set of impacted tests for code changes. In some embodiments, static dependency analysis is used to identify tests impacted by a code change. Heuristics can be used to assist with identifying an appropriate set of impacted tests to run for a code change. Dynamic data can be used to augment static dependency data to identify more optimal sets of impacted tests to run for a code change.

Identifying impacted tests from statically collected data

Architectural design intent for software is represented in some type of concrete form. A set of computable rules are inferred from the representation of the architectural design intent. The rules are applied to the codebase at various points in the development process including but not limited to when source code is checked into a project or when a build is run, or when a test run is performed. If the codebase being developed is not consistent with the architectural intent of the designer as captured, feedback concerning non-compliance is provided.

Enforcement of architectural design during software development

Local areas of a visualized modeling language diagram are viewable at different levels of detail without losing information such as model elements and their connectivity. Multiple elements are associated with a group element, which has a visual portion derived from the appearance of a group member element. Connectors between group member elements and non-member elements are suppressed in favor of replacement connectors between the group element and the non-member element(s). The integrity of incoming and outgoing connections to the group is maintained relative to the rest of the model. Ungrouping elements restores the elements to their original state. Grouping can be applied locally to one or more parts of the visual model.

Localized information-preserving levels in model visualization

Providing a website map to a user. A method includes gathering information about web pages in a website, including information related to web page relationships, controls, and executable code underlying one or more web pages in the website. A relationship map is created. The relationship map includes representations of relationships between the web pages, the controls and the executable code underlying one or more web pages in the website. The method further includes graphically displaying at least a portion of the relationship map in a graphical user interface at the computing system.

Rich site maps

Growing community of inventors

Redmond, WA, United States of America

Arun Mathew Abraham