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...
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...
The Grid technology is evolving into a global, service-orientated architecture – a universal platform for delivering future high demand computational services. Strong adoption of...
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...
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...