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» Feature-to-Code Mapping in Two Large Product Lines
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NIPS
2007
13 years 7 months ago
Random Features for Large-Scale Kernel Machines
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Ali Rahimi, Benjamin Recht
ISSRE
2006
IEEE
14 years 11 days ago
Using Historical In-Process and Product Metrics for Early Estimation of Software Failures
The benefits that a software organization obtains from estimates of product quality are dependent upon how early in the product cycle that these estimates are available. Early est...
Nachiappan Nagappan, Thomas Ball, Brendan Murphy
ICSM
1999
IEEE
13 years 10 months ago
A Two-Phase Process for Software Architecture Improvement
Software architecture is important for large systems in which it is the main means for, among other things, controlling complexity. Current ideas on software architectures were no...
René L. Krikhaar, André Postma, M. P...
BMCBI
2010
112views more  BMCBI 2010»
13 years 6 months ago
TabSQL: a MySQL tool to facilitate mapping user data to public databases
Background: With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public...
Xiaoqin Xia, Michael McClelland, Yipeng Wang
VAMOS
2009
Springer
14 years 27 days ago
Some Challenges of Feature-based Merging of Class Diagrams
In software product line engineering, feature models enable to automate the generation of productspecific models in conjunction with domain “base models” (e.g. UML models). T...
Germain Saval, Jorge Pinna Puissant, Patrick Heyma...