Run-time conflicts can affect even the most rigorously tested software systems. A reliance on execution-based testing makes it prohibitively costly to test every possible interac...
Michael F. Spear, Tom Roeder, Orion Hodson, Galen ...
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Background: Genome wide association (GWA) studies are now being widely undertaken aiming to find the link between genetic variations and common diseases. Ideally, a well-powered G...
Fredrik Pettersson, Andrew P. Morris, Michael R. B...
Fuzz testing is an effective technique for finding security vulnerabilities in software. Traditionally, fuzz testing tools apply random mutations to well-formed inputs of a progr...
Patrice Godefroid, Michael Y. Levin, David A. Moln...
Online multi-participant virtual-world systems have attracted significant interest from the Internet community but are hindered by their inability to efficiently support interacti...