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» Evolutionary Approach to Test Generation for Functional BIST
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolutionary testing of state-based programs
The application of Evolutionary Algorithms to structural test data generation, known as Evolutionary Testing, has to date largely focused on programs with input-output behavior. H...
Phil McMinn, Mike Holcombe
COR
2008
164views more  COR 2008»
13 years 7 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
14 years 1 months ago
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
Efrén Mezura-Montes, Jesús Vel&aacut...
CSREAESA
2008
13 years 9 months ago
BIST-BASED Group Testing for Diagnosis of Embedded FPGA Cores
A group testing-based BIST technique to identify faulty hard cores in FPGA devices is presented. The method provides for isolation of faults in embedded cores as demonstrated by ex...
Alireza Sarvi, Carthik A. Sharma, Ronald F. DeMara
GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
14 years 1 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener