Share on Facebook Tweet on Twitter Share on LinkedIn Share by email
Finding Similar Failures using Callstack Similarity

Kevin Bartz, Jack W. Stokes, John C. Platt, Ryan Kivett, David Grant, Silviu Calinoiu, and Gretchen Loihle


We develop a machine-learned similarity metric for Windows failure reports using telemetry data gathered from clients describing the failures. The key feature is a tuned callstack edit distance with learned costs for seven fundamental edits based on callstack frames. We present results of a failure similarity classifier based on this and other features. We also describe how the model can be deployed to conduct a global search for similar failures across a failure database.


Publication typeInproceedings
Published inSysML08: Third Workshop on Tackling Computer Systems Problems with Machine Learning Techniques
> Publications > Finding Similar Failures using Callstack Similarity