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» An approach to detecting failures automatically
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DSOM
2000
Springer
15 years 11 months ago
Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection
Operational Data Analysis (ODA) automatically 1) monitors the performance of a computer through time, 2) stores such information in a data repository, 3) applies data-mining techn...
Ricardo Vilalta, Chidanand Apté, Sholom M. ...
FORTE
2008
15 years 8 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee
TITS
2002
103views more  TITS 2002»
15 years 6 months ago
Artificial vision in extreme environments for snowcat tracks detection
This paper describes the image processing techniques designed to localize the tracks of snowcats for the automation of transportation of goods and people during the Italian scienti...
Alberto Broggi, Alessandra Fascioli
ICSE
2003
IEEE-ACM
16 years 6 months ago
Architectural Level Risk Assessment Tool Based on UML Specifications
Recent evidences indicate that most faults in software systems are found in only a few of a system's components [1]. The early identification of these components allows an or...
T. Wang, Ahmed E. Hassan, Ajith Guedem, Walid Abde...
DSN
2007
IEEE
16 years 27 days ago
What Supercomputers Say: A Study of Five System Logs
If we hope to automatically detect and diagnose failures in large-scale computer systems, we must study real deployed systems and the data they generate. Progress has been hampere...
Adam J. Oliner, Jon Stearley