Microsoft Technology Licensing, LLC

Dinesh Chandnani

Shibani Basava

Ram Kumar Donthula

Andrew Christopher Neil

Zhu Chen

Vijaya K Upadya

Geoffrey Staneff

Evgenia Steshenko

Matthew Sloan Theodore Evans

Xin Shi

Brian W Boon

Shaun Miller

Carl Brochu

Shengyu Fu

Daniel Moth

Ritesh Rambhai Parikh

John F Lam

Kunal Pathak

Siwei Li

George Joshua Michaels

Safia Abdalla

Kwangje Cho

Katherine Kampf

Vaishnavi Sannidhanam

Barry Manh Tu

Vijay Upadya

Dileep Yavanmandha

Some embodiments support embedding of a notebooks software component in a surrounding host application, thereby promoting consistency of notebook user interfaces and user experiences between different kinds of applications. For instance, the notebook access added to an integrated development environment (IDE) may be aesthetically consistent with the notebook access added to a business analytics tool from the same vendor as the IDE. Departures from the aesthetic are still supported, e.g., a notebook access provided in a video gaming environment to teach gamers programming skills may have the same aesthetic as the simulated world of the video game, rather than an IDE aesthetic or an enterprise software aesthetic. Direct integration or proxied integration architectures may be used. Efficiencies may be gained by distinguishing between notebook viewing, editing, and executing operations, and providing more computationally expensive resources only as needed for the notebook access being performed.

Embeddable notebook access support

A rule-based attribution mechanism analyzes documents having different types of data in different formats through the application of script-based rules that apply a tag to the document identifying the type of sensitive data that is contained in the document. Documents having similar tags are aggregated so that the sensitive data is scrubbed from the document leaving the telemetric data available for downstream processing. The scrubbing entails different actions, such as, eliminating the sensitive data, obfuscating the sensitive data, and converting the sensitive data into a non-sensitive value.

Rule-based document scrubbing of sensitive data

A real-time event processing system receives event data containing telemetric data and one or more personal identifiers. The personal identifier in the event data is replaced with an obfuscated value so that the telemetric data may be used without reference to the personal identifier. A reversible map is used to reverse the obfuscated personal identifier to its original value. In the case when a request is received to delete the mapped personal identifier, the link to the entry in the reversible map is broken by associating the personal identifier with a different obfuscated value.

Obfuscation and deletion of personal data in a loosely-coupled distributed system

Debugging and testing are aided by removing portions of software which are not relevant to a particular scenario. Upon replay, scenario behavior occurs. A reduction tool selects a function exercised during the replay, disables it to provide a test version of the software, replays the scenario to the test version to produce a candidate behavior, and compares the candidate behavior to the scenario behavior. When the candidate behavior matches the scenario behavior the tool removes the disabled function, thereby providing a reduced version of the software which is functionally equivalent to the full version but has fewer functions to manage. The tool may also remove unexercised code. Trimming unexercised code and reducing exercised but irrelevant code may be interleaved. Caching, dynamic uniform resource locator mapping, hypertext markup language code refactoring, and/or avoidance of certain random elements may also facilitate exhibiting, testing, or debugging web applications.

Scenario-based code trimming and code reduction

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Sammamish, WA, United States of America

Dinesh Chandnani