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EKAW
2000
Springer
14 years 6 days ago
Informed Selection of Training Examples for Knowledge Refinement
Knowledge refinement tools rely on a representative set of training examples to identify and repair faults in a knowledge based system (KBS). In real environments it is often diffi...
Nirmalie Wiratunga, Susan Craw
ISSRE
2007
IEEE
13 years 10 months ago
Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software
This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high probability of fault. The s...
Erik Arisholm, Lionel C. Briand, Magnus Fuglerud
GCA
2008
13 years 10 months ago
A Grid Resource Broker with Dynamic Loading Prediction Scheduling Algorithm in Grid Computing Environment
In a Grid Computing environment, there are various important issues, including information security, resource management, routing, fault tolerance, and so on. Among these issues, ...
Yi-Lun Pan, Chang-Hsing Wu, Weicheng Huang
DOA
2001
137views more  DOA 2001»
13 years 10 months ago
Supporting Distributed Processing of Time-Based Media Streams
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include content analysis under uncertainty (evidence of ...
Viktor S. Wold Eide, Frank Eliassen, Olav Lysne
SERP
2003
13 years 10 months ago
Reliability Modeling Using UML
System reliability has become an increasingly important benchmark in measuring service continuity. As part of many service level agreements, system performance is gauged by how lo...
Chokchai Leangsuksun, Hertong Song, Lixin Shen