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» Efficient probe selection algorithms for fault diagnosis
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
DAC
2010
ACM
13 years 10 months ago
Scalable specification mining for verification and diagnosis
Effective system verification requires good specifications. The lack of sufficient specifications can lead to misses of critical bugs, design re-spins, and time-to-market slips. I...
Wenchao Li, Alessandro Forin, Sanjit A. Seshia
CAL
2004
13 years 7 months ago
An Efficient Fault-Tolerant Routing Methodology for Meshes and Tori
In this paper we present a methodology to design fault-tolerant routing algorithms for regular direct interconnection networks. It supports fully adaptive routing, does not degrade...
María Engracia Gómez, José Du...
ESE
2006
100views Database» more  ESE 2006»
13 years 7 months ago
An evaluation of combination strategies for test case selection
This paper presents results from a comparative evaluation of five combination strategies. Combination strategies are test case selection methods that combine "interesting&quo...
Mats Grindal, Birgitta Lindström, Jeff Offutt...
PROMISE
2010
13 years 2 months ago
Exploiting count spectra for Bayesian fault localization
Background: Automated diagnosis of software defects can drastically increase debugging efficiency, improving reliability and time-to-market. Current, low-cost, automatic fault dia...
Rui Abreu, Alberto González-Sanchez, Arjan ...