Microsoft Technology Licensing, LLC

Daniel Vann

Emmanouil Koukoumidis

Joseph Edwin Johnson, Jr

Brian Robert Crawford

Hailong Mu

Arun Mathew Abraham

Douglas Jay Rosen

Jing Fan

Systems and methods for automated mathematical chatting. The systems and methods convert any identified non-numerical inputs into vectors and then perform the mathematical equation utilizing the vectors instead of the nonnumeric inputs along with any other identified numeric inputs to obtain a numerical vector result. The systems and methods decode the numerical vector result into a result feature and then search one or more databases for output based on the result feature. The systems and methods provide the selected output from the one or more databases in response to the mathematical query.

Systems and methods for a mathematical chat bot

Source code statements are automatically generated from a profile including variable code elements and methods. The profile is built from an existing code base that has identified variable code elements that differ when used in different versions of the source code statements. A developer may define values for the variable code elements which are then used by the methods in the profile to automatically generate corresponding source code statements.

Automatic source code generation

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

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Daniel Vann