Crash Data Collection: A Windows Case Study

Authors:
Archana Ganapathi;David Patterson
Affiliations:
University of California at Berkeley;University of California at Berkeley
Venue:
DSN '05 Proceedings of the 2005 International Conference on Dependable Systems and Networks
Year:
2005

Citing 0
Cited 7

DataSeries: an efficient, flexible data format for structured serial data

ACM SIGOPS Operating Systems Review
Debugging in the (very) large: ten years of implementation and experience

Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
Optimizing crash dump in virtualized environments

Proceedings of the 6th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Catch me if you can: performance bug detection in the wild

Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications
Towards dependable clients: improving the reliability and availability of the browsers

Proceedings of the 9th Middleware Doctoral Symposium of the 13th ACM/IFIP/USENIX International Middleware Conference
Predicting method crashes with bytecode operations

Proceedings of the 6th India Software Engineering Conference
Operating system reliability from the quality of experience viewpoint: an exploratory study

Proceedings of the 28th Annual ACM Symposium on Applied Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Reliability is a rapidly growing concern in contemporary Personal Computer (PC) industry, both for computer users as well as product developers. To improve dependability, systems designers and programmers must consider failure and usage data for operating systems as well as applications. In this paper, we discuss our experience with crash and usage data collection for Windows machines. We analyze results based on crashes in the UC Berkeley EECS department.