Variability modeling techniques are used to specify variable aspects of members of a family of related software artifacts. Instances of variability models are then used to effici...
Modern malware often hide the malicious portion of their program code by making it appear as data at compiletime and transforming it back into executable code at runtime. This obf...
Paul Royal, Mitch Halpin, David Dagon, Robert Edmo...
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
This paper presents a methodology for accurate propagation of delay information through a gate for the purpose of static timing analysis (STA) in the presence of noise. Convention...
Shahin Nazarian, Massoud Pedram, Emre Tuncer, Tao ...
Abstract. The utilization of pseudo-random proportional rule to balance between the exploitation and exploration of the search process was shown in Ant Colony System (ACS) algorith...