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» A Probabilistic Model for Software Projects
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KBSE
2009
IEEE
14 years 2 months ago
Understanding the Value of Software Engineering Technologies
SEESAW combines AI search tools, a Monte Carlo simulator, and some software process models. We show here that, when selecting technologies for a software project, SEESAW out-perfo...
Phillip Green II, Tim Menzies, Steve Williams, Ous...
CVPR
2001
IEEE
14 years 10 months ago
A Probabilistic Framework for Surface Reconstruction from Multiple Images
This paper presents a novel probabilistic framework for 3D surface reconstruction from multiple stereo images. The method works on a discrete voxelized representation of the scene...
Motilal Agrawal, Larry S. Davis
CORR
2007
Springer
141views Education» more  CORR 2007»
13 years 8 months ago
Managing Uncertainty: A Case for Probabilistic Grid Scheduling
The Grid technology is evolving into a global, service-orientated architecture – a universal platform for delivering future high demand computational services. Strong adoption of...
Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat
FPL
2007
Springer
190views Hardware» more  FPL 2007»
14 years 2 months ago
The ANDRES Project: Analysis and Design of Run-Time Reconfigurable, Heterogeneous Systems
Today’s heterogeneous embedded systems combine components from different domains, such as software, analogue hardware and digital hardware. The design and implementation of thes...
Andreas Herrholz, Frank Oppenheimer, Philipp A. Ha...
FASE
2007
Springer
14 years 2 months ago
EQ-Mine: Predicting Short-Term Defects for Software Evolution
We use 63 features extracted from sources such as versioning and issue tracking systems to predict defects in short time frames of two months. Our multivariate approach covers aspe...
Jacek Ratzinger, Martin Pinzger, Harald Gall