Weighted Random Test Pattern Generation Using Genetic Alogrithms
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by Hiroshi Yokoyama, Kazuki Takeuchi, Xiaoquing Wen, Hideo Tamamoto
http://titan.ie.akita-u.ac.jp/~yokoyama/papers/./ftc/FTC32-94.ps.Z
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Abstract:
Abstract: In this paper, a genetic algorithm (GA) approach for the weighted random testing is discussed. Analyzing optimal weights for weighted random testing is a very complicated problem. GA is applied to obtain efficient weights for random pattern generation. Simulation results show that GA is an effective method to solve the problem. 1.
Citations
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