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» Modelling Variability for System Families
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CP
2004
Springer
14 years 3 months ago
Hybrid Set Domains to Strengthen Constraint Propagation and Reduce Symmetries
In CP literature combinatorial design problems such as sport scheduling, Steiner systems, error-correcting codes and more, are typically solved using Finite Domain (FD) models desp...
Andrew Sadler, Carmen Gervet
METMBS
2003
255views Mathematics» more  METMBS 2003»
13 years 11 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
WCRE
2007
IEEE
14 years 4 months ago
Quality Assessment Based on Attribute Series of Software Evolution
Defect density and defect prediction are essential for efficient resource allocation in software evolution. In an empirical study we applied data mining techniques for value seri...
Jacek Ratzinger, Harald Gall, Martin Pinzger
RTS
2011
123views more  RTS 2011»
13 years 5 months ago
Feasibility analysis under fixed priority scheduling with limited preemptions
—Preemptive scheduling often generates a significant runtime overhead that may increase task worst-case execution times up to 40%, with respect to a fully non preemptive executi...
Gang Yao, Giorgio C. Buttazzo, Marko Bertogna
SAFECOMP
2005
Springer
14 years 3 months ago
Generalising Event Trees Using Bayesian Networks with a Case Study of Train Derailment
Event trees are a popular technique for modelling accidents in system safety analyses. Bayesian networks are a probabilistic modelling technique representing influences between unc...
George Bearfield, William Marsh