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KDD
2009
ACM
232views Data Mining» more  KDD 2009»
16 years 2 hour ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...
GCA
2008
15 years 27 days ago
Anomaly Detection and its Application in Grid
- Size and complexity of grid computing systems increase rapidly. Failures can have adverse effect on application executing on the system. Thus, failure information should be provi...
Thuy Nguyen, Thanh Do, Dung Nguyen, Hiep Nguyen, T...
SIGOPS
2008
146views more  SIGOPS 2008»
14 years 11 months ago
Vigilant: out-of-band detection of failures in virtual machines
What do our computer systems do all day? How do we make sure they continue doing it when failures occur? Traditional approaches to answering these questions often involve inband m...
Dan Pelleg, Muli Ben-Yehuda, Richard Harper, Lisa ...
KBSE
2005
IEEE
15 years 5 months ago
Automated replay and failure detection for web applications
User-session-based testing of web applications gathers user sessions to create and continually update test suites based on real user input in the field. To support this approach ...
Sara Sprenkle, Emily Gibson, Sreedevi Sampath, Lor...
ISSRE
2003
IEEE
15 years 4 months ago
Anomalies as Precursors of Field Failures
Reproducing and learning from failures in deployed software is costly and difficult. Those activities can be facilitated, however, if the circumstances leading to a failure are p...
Sebastian G. Elbaum, Satya Kanduri, Anneliese Amsc...