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SIGSOFT
2007
ACM
14 years 8 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
FGR
2004
IEEE
161views Biometrics» more  FGR 2004»
13 years 11 months ago
AdaBoost with Totally Corrective Updates for Fast Face Detection
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
Jan Sochman, Jiri Matas
ICDCS
2009
IEEE
14 years 4 months ago
Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems
With the growing complexity in computer systems, it has been a real challenge to detect and diagnose problems in today’s large-scale distributed systems. Usually, the correlatio...
Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han
SOSP
2009
ACM
14 years 4 months ago
Debugging in the (very) large: ten years of implementation and experience
Windows Error Reporting (WER) is a distributed system that automates the processing of error reports coming from an installed base of a billion machines. WER has collected billion...
Kirk Glerum, Kinshuman Kinshumann, Steve Greenberg...
DSN
2006
IEEE
13 years 11 months ago
An Approach for Detecting and Distinguishing Errors versus Attacks in Sensor Networks
Distributed sensor networks are highly prone to accidental errors and malicious activities, owing to their limited resources and tight interaction with the environment. Yet only a...
Claudio Basile, Meeta Gupta, Zbigniew Kalbarczyk, ...