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119
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TSE
2002
96views more  TSE 2002»
15 years 3 months ago
Better Reliability Assessment and Prediction through Data Clustering
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Jeff Tian
161
Voted
EUROPAR
2009
Springer
15 years 1 months ago
A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform
Abstract. Point matching is crucial for many computer vision applications. Establishing the correspondence between a large number of data points is a computationally intensive proc...
Lin Yang, Leiguang Gong, Hong Zhang, John L. Noshe...
151
Voted
JSAT
2010
108views more  JSAT 2010»
14 years 10 months ago
Experiment design and administration for computer clusters for SAT-solvers (EDACC)
The design of a SAT-solver or the modification of an existing one is always followed by a phase of intensive testing of the solver on a benchmark of instances. This task can be ve...
Adrian Balint, Daniel Gall, Gregor Kapler, Robert ...
128
Voted
PROMISE
2010
14 years 10 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
177
Voted
TON
2010
167views more  TON 2010»
14 years 10 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...