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KBSE
2006
IEEE
15 years 7 months ago
Automatic Generation of Detection Algorithms for Design Defects
Maintenance is recognised as the most difficult and expansive activity of the software development process. Numerous techniques and processes have been proposed to ease the mainte...
Naouel Moha, Yann-Gaël Guéhéneu...
IDEAL
2004
Springer
15 years 7 months ago
Detecting Worm Propagation Using Traffic Concentration Analysis and Inductive Learning
As a vast number of services have been flooding into the Internet, it is more likely for the Internet resources to be exposed to various hacking activities such as Code Red and SQL...
Sanguk Noh, Cheolho Lee, Keywon Ryu, Kyunghee Choi...
MVA
2007
128views Computer Vision» more  MVA 2007»
15 years 3 months ago
Illumination-robust Change Detection Using Texture Based Features
We propose a change detection method which is robust against illumination change and requires little background learning as a result of using texture based features. We propose Pe...
Kentaro Yokoi
CONCURRENCY
2006
77views more  CONCURRENCY 2006»
15 years 1 months ago
A survey of systems for detecting serial run-time errors
: This paper evaluates the ability of a variety of commercial and non-commercial software products to detect serial run-time errors in C and C++ programs, to issue meaningful messa...
Glenn R. Luecke, James Coyle, Jim Hoekstra, Marina...
RAID
2010
Springer
14 years 12 months ago
Community Epidemic Detection Using Time-Correlated Anomalies
Abstract. An epidemic is malicious code running on a subset of a community, a homogeneous set of instances of an application. Syzygy is an epidemic detection framework that looks f...
Adam J. Oliner, Ashutosh V. Kulkarni, Alex Aiken