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ICSE
2008
IEEE-ACM
14 years 10 months ago
DySy: dynamic symbolic execution for invariant inference
Dynamically discovering likely program invariants from concrete test executions has emerged as a highly promising software engineering technique. Dynamic invariant inference has t...
Christoph Csallner, Nikolai Tillmann, Yannis Smara...
ICST
2009
IEEE
14 years 4 months ago
Seasonal Variation in the Vulnerability Discovery Process
Vulnerability discovery rates need to be taken into account for evaluating security risks. Accurate projection of these rates is required to estimate the effort needed to develop ...
HyunChul Joh, Yashwant K. Malaiya
JMLR
2006
125views more  JMLR 2006»
13 years 10 months ago
A Linear Non-Gaussian Acyclic Model for Causal Discovery
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärin...
BMCBI
2005
97views more  BMCBI 2005»
13 years 9 months ago
The yeast kinome displays scale free topology with functional hub clusters
Background: The availability of interaction databases provides an opportunity for researchers to utilize immense amounts of data exclusively in silico. Recently there has been an ...
Robin E. C. Lee, Lynn A. Megeney
BMCBI
2006
146views more  BMCBI 2006»
13 years 10 months ago
A database application for pre-processing, storage and comparison of mass spectra derived from patients and controls
Background: Statistical comparison of peptide profiles in biomarker discovery requires fast, userfriendly software for high throughput data analysis. Important features are flexib...
Mark K. Titulaer, Ivar Siccama, Lennard J. Dekker,...