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» Genetic Algorithms for Dynamic Test Data Generation
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AMC
2005
191views more  AMC 2005»
13 years 7 months ago
Model identification of ARIMA family using genetic algorithms
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
Chorng-Shyong Ong, Jih-Jeng Huang, Gwo-Hshiung Tze...
ICES
2000
Springer
140views Hardware» more  ICES 2000»
13 years 11 months ago
Evolving Cellular Automata for Self-Testing Hardware
Testing is a key issue in the design and production of digital circuits: the adoption of BIST (Built-In Self-Test) techniques is increasingly popular, but requires efficient algori...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
14 years 1 months ago
Generalized benchmark generation for dynamic combinatorial problems
Several general purpose benchmark generators are now available in the literature. They are convenient tools in dynamic continuous optimization as they can produce test instances w...
Abdulnasser Younes, Paul H. Calamai, Otman A. Basi...
ICCAD
1998
IEEE
96views Hardware» more  ICCAD 1998»
14 years 1 hour ago
Test set compaction algorithms for combinational circuits
This paper presents two new algorithms, Redundant Vector Elimination(RVE) and Essential Fault Reduction (EFR), for generating compact test sets for combinational circuits under th...
Ilker Hamzaoglu, Janak H. Patel
TACAS
2009
Springer
122views Algorithms» more  TACAS 2009»
14 years 2 months ago
Test Input Generation for Programs with Pointers
Software testing is an essential process to improve software quality in practice. Researchers have proposed several techniques to automate parts of this process. In particular, sym...
Dries Vanoverberghe, Nikolai Tillmann, Frank Piess...