Microsoft Technology Licensing, LLC

Zhanliang Chen

William Ramsey

Sanjeev Katariya

Raman Chandrasekar

Lei Zhao

Jan Kotas

Ray Sun

Qi Yao

Saurab Nog

Kumar Gaurav Khanna

Ryan J Cavanaugh

David M Kean

Thomas Dale White

Yanbiao Zhao

Young Kun Joo

Matthew Cohn

Alok Shriram

Eric N St John

Gaye Oncul Kok

Mohammad Rahim Bhojani

Jian Cao

Divya Swarnkar

Michael J Rayhelson

Michael Rousos

Weitao Su

An enhanced binder provides flexibility and certainty when selecting a version of a software library to load, and an enhanced loader prevents a library version vulnerable to a security flaw from being loaded. The binder can perform unification, implicit override, and/or redirection. Implicit override searches assembly-specific locations for an implicit_version, and override the previously chosen unification or other version with the implicit_version when the implicit_version is greater. The implicit_version gets updated with the individual assembly, whereas the unification_version gets updated with the framework. Redirection may override the implicit_version. Unlike redirection, an implicit_version does not recite an explicit range and is found outside application configuration files. The implicit_version is specified implicitly by the assembly without an XML declaration. Vulnerable libraries are not loaded, based on out-of-band metadata placed in response to a list of known out-of-band assemblies, an out-of-band-servicing attribute, or a custom servicing library.

Out-of-band framework libraries within applications

A development system is provided. The system includes a workspace component to visually display one or more model components. A separation component automatically segments the model components into two or more project components. A synchronization component can be provided to automatically update at least one of the project components in view of changes made to at least one other project component.

N-tiered applications support via common interface

A task system and method are provided. The system provides an automated approach for task creation, maintenance and/or execution. The system includes a browser that receives search results and at least one task associated with a query from a search engine. The system further includes a browser helper object that binds to the browser at runtime. The browser helper object provides information associated with a user's action with respect to the search results and/or at least one task. The information can be employed as feedback to update model(s) (e.g., query classification model(s) and/or slot-filling model(s)) of a semantic reasoning component that retrieves task based, at least in part, upon user query(ies).

Automatic task creation and execution using browser helper objects

A classifier is used to predict relevant results with arbitrary filtering conditions specified by the user. The classifier model is stored as a database table and joined with a metadata properties table instead of calculating the query result probability using the full classifier model. A user-specified query based filter is applied to the joined tables to obtain the list of documents satisfying the filter. The probability is then computed using the sub-model.

Dynamic metadata filtering for classifier prediction

Systems and methods are provided that perform automatic URL analysis and correction in a computing system. The systems and methods automatically detect misentered or incorrect URLs, analyzing the invalid URLs with respect intelligent rules and valid URLs, and where a high likelihood exists for alternative URLs being intended, the alternative URLs are presented to the user as suggestions. The URLs used for comparison to the URL input may be collected through multiple channels or from multiple sources, which may be dynamically updated sources, including URLs commonly or newly found on the Web, users' favorite URLs and the like, as well as URLs from a standard URL list or database, all of which may be from one or more multi-lingual domain. In various embodiments, the alternative URL(s) are automatically presented when there is a very high confidence that the alternatives are desirable. Optionally, a mini search or a full blown search on the URL input may be performed and presented to the user to supplement the alternative URL suggestions. The systems allow a user to seek help or technical information about the URL navigation or search attempt and also allow a user to easily retry the query, ignoring the suggestions.

Systems and methods for providing runtime universal resource locator (URL) analysis and correction

A system and methods are provided for runtime spelling analysis and correction in a computing system. Misspelled entries or input text is automatically corrected turning the misspelled entries or input text into valid entries or text. The words used for spell checking and correction may be collected through multiple channels or from multiple sources, including words commonly found on the Web, and in users' entries or input text, as well as words from a standard language lexicon, all of which may be in one or more languages. The word(s) are automatically corrected only when there is a very high confidence that the correction is desirable. In various embodiments, the system implements a plurality of mechanisms with which the user can override the correction if invoked.

System and methods for providing runtime spelling analysis and correction

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Sammamish, WA, United States of America

Zhanliang Chen