Debugging in the (very) large: ten years of implementation and experience

By Kirk Glerum, Kinshuman Kinshumann, Steve Greenberg, Gabriel Aul, Vince Orgovan, Greg Nichols, David Grant, Gretchen Loihle, Galen C. Hunt. 2009

215 citations recorded by the source corpus.

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Prochlo: Strong Privacy for Analytics in the Crowd (2017, methodology): “For example, largescale Windows error reporting operates in this manner [34].”
PROCHLO: Strong Privacy for Analytics in the Crowd (2017, methodology): “For example, largescale Windows error reporting operates in this manner [34].”
Catch me if you can: performance bug detection in the wild (2011, background): “[11] describe Windows Error Reporting, an infrastructure that gathers information on the client computer at the time of a failure, and sends it to a central server.”
AppInsight: Mobile App Performance Monitoring in the Wild (2012, unknown): “While collecting such data over long term is important [10], it does not necessarily help with performance analysis [1].”
Carat: collaborative energy diagnosis for mobile devices (2013, background): “Recent work shows how access to source code can facilitate tasks like log analysis [43] and distributed diagnosis [12].”
Information needs for software development analytics (2012, background): “Many technologies exist for collecting data from customers: from crash reports [33] to telemetry to surveys [34], [35], [36].”