Paper Info
Title
A method to determine the sensitization probability of a non-robustly testable path
Abstract
This paper presents a novel approach to determine the sensitization probability of a non-robustly testable path using probability density functions (PDFs). The proposed approach systematically refines a set of patterns that sensitize the path non-robustly which initial set has been derived with existing methods, and is kept implicitly. Accurate measure of the sensitization probability is obtained fast by avoiding Monte-Carlo. It is shown experimentally that the proposed approach is accurate and much faster than Monte-Carlo, and thus can be used to rank a collection of non-robust paths considering their sensitization characteristics.
Year
DOI
Venue
2013
10.1109/ISQED.2013.6523683
Quality Electronic Design
Keywords
Field
DocType
Monte Carlo methods,circuit testing,probability,sensitivity analysis,Monte Carlo method,nonrobustly testable path,probability density functions,sensitization probability,Binary Decision Diagrams (BDDs),Bounded Delay Model,Monte-Carlo,Non-Robust Sensitization,probability density functions (PDFs)
Convolution of probability distributions,Probability mass function,Combinatorics,Monte Carlo method,Random variable,Computer science,Quantile function,Hybrid Monte Carlo,Algorithm,Real-time computing,Probability distribution,Probability density function
Conference
ISSN
ISBN
Citations 
1948-3287
978-1-4673-4951-2
1
PageRank 
References 
Authors
0.38
19
2
Name
Order
Citations
PageRank
Dheepakkumaran Jayaraman171.54
Spyros Tragoudas262588.87