Microsoft Technology Licensing, LLC

Song Huang

Jian Wang

Dongmei Zhang

Yingnong Dang

Xiaohui Hou

Zheng Chen

Hua Li

A method for identifying data related to a software security issue is provided. The method includes accessing a software security issue and determining one or more attributes associated with the software security issue. The method also includes accessing aggregated software security data retrieved from a plurality of on-line sources and searching the aggregated software security data for the attributes associated with the security issue. The method further includes associating a portion of the aggregated data with the security issue based on matching the attributes associated with the security issue with contents of the portion of the aggregated data.

Identifying data associated with security issue attributes

A method for identifying a portion of aggregated software security data is described. The method includes accessing aggregated data associated with software vulnerabilities retrieved from a plurality of on-line sources. The method further includes searching a portion of the aggregated data for an exact match to a particular attribute of the data and searching the portion of the aggregated data for one or more partial matches associated with the particular attribute. The method also includes associating the portion of the data with the particular attribute based on the exact match of one or more of the partial matches.

Identifying attributes of aggregated data

A method for enabling access to software security data is provided. The method includes accessing data associated with software vulnerabilities from a plurality of on-line sources. The method further includes aggregating the data from the plurality of on-line sources and identifying attributes associated with the data. The method also includes enabling access to the aggregated data through a graphical user interface that can be used to analyze the data according to the attributes.

Enabling access to aggregated software security information

Described herein is technology for, among other things, accessing error report information. It involves various techniques and tools for analyzing and interrelating failure data contained in error reports and thereby facilitating developers to more easily and quickly solve programming bugs. Numerous parameters may also be specified for selecting and searching error reports. Several reliability metrics are provided to better track software reliability situations. The reliability metrics facilitate the tracking of the overall situation of failures that happen in the real word by providing metrics based on error reports (e.g., failure occurrence trends, failure distributions across different languages).

Software error report analysis

A method and system for identifying expansions of abbreviations using learned weights is provided. An abbreviation system generates features for various expansions of an abbreviation and generates a score indicating the likelihood that an expansion is a correct expansion of the abbreviation. A expansion with the same number of words as letters in the abbreviation is more likely in general to be a correct expansion than an expansion with more or fewer words. The abbreviation system calculates a score based on a weighted combination of the features. The abbreviation system learns the weights for the features from training data of abbreviations, candidate expansions, and scores for the candidate expansions.

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Song Huang