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» Evolutionary Approach to Test Generation for Functional BIST
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EPS
1995
Springer
13 years 11 months ago
An Evolutionary Programming Approach to Self-Adaptation on Finite State Machines
Evolutionary programming was first offered as an alternative method for generating artificial intelligence. Experiments were offered in which finite state machines were used to...
Lawrence J. Fogel, Peter J. Angeline, David B. Fog...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 1 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 8 days ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
VTS
2000
IEEE
95views Hardware» more  VTS 2000»
14 years 1 days ago
DEFUSE: A Deterministic Functional Self-Test Methodology for Processors
1 At-speed testing is becoming increasingly difficult with external testers as the speed of microprocessors approaches the GHz range. One solution to this problem is built-in self-...
Li Chen, Sujit Dey
IWANN
2009
Springer
14 years 2 months ago
Aiding Test Case Generation in Temporally Constrained State Based Systems Using Genetic Algorithms
Generating test data for formal state based specifications is computationally expensive. This paper improves a framework that addresses this issue by representing the test data ge...
Karnig Derderian, Mercedes G. Merayo, Robert M. Hi...