N-Detection Test Generation with Clustering and Estimation of Distribution Algorithms: a preliminary research
We introduce a procedure for n-detection test sets generation based on Clustering and Estimation of Distribution Algorithms (CEDAs). Estimation of Distribution Algorithms (EDAs) could analyze the interrelations between the circuits primary inputs through the joint probability distribution effectively. Based on this circuits structure information, the test schemas of fault activation and propagation are expected to be captured and carried over to the new test patterns. Data clustering as preprocessing for EDAs enhance the efficiency and effectiveness of test generation procedure. Preliminary experimental results on the benchmark circuits demonstrate the feasibility of this procedure.
N-Detection estimation of distribution algorithm test generation clustering
PENG Xi-yuan ZHAO Zhong-yu PENG Yu
Dept of Automatic Test and Control Harbin Institute of Technology,Science Park of Harbin Institute of Technology, P.O.Box 3033,Harbin Heilongjiang China, 150080
国际会议
北京
英文
2007-08-05(万方平台首次上网日期,不代表论文的发表时间)