Patent №
US 8,453,027
Granted
2013-05-28
Filed 2009
Owner
MICROSOFT CORPORATION
Lab
AI components
5
ml · nlp · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12561608
Techniques for determining similarity between error reports received by an error reporting service. An error report may be compared to other previously-received error reports to determine similarity and facilitate diagnosing and resolving an error that generated the error report. In some implementations, the similarity may be determined by comparing frames included in a callstack of an error report to frames included in callstacks in other error reports to determine an edit distance between the callstacks, which may be based on the number and type of frame differences between callstacks. Each type of change may be weighted differently when determining the edit distance. Additionally or alternatively, the comparison may be performed by comparing a type of error, process names, and/or exception codes for the errors contained in the error reports. The similarity may be expressed as a probability that two error reports were generated as a result of a same error.
AI classification
Ownership
MICROSOFT CORPORATION
assignment · 235210419
Assignors
BARTZ, KEVIN, STOKES, JACK WILSON, III, KIVETT, RYAN S., GRANT, DAVID G., LOIHLE, GRETCHEN L., CALINOIU, SILVIU C.
On an employer assignment, the assignors are typically the inventors.