Computer Science ›› 2010, Vol. 37 ›› Issue (5): 287-290.

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Research on Novel Test Vector Ordering Approach Based on Markov Decision Processes

WANG Guan-jun,WANG Mao-li,ZHAO Ying   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Delay test vector ordering is an efficient technique to reduce test power. Proposed a new delay test vector order approach based on Markovian decision process. To reorder delay test vector, defined transfer probability with the induced activity functions based on transition probability and hamming distance, determined the test vector sequence according to transfer probability. Reduced the swtiching activity of the CUT(Cirscuits Under Test),so we could get a better result to reduce peak power and average power. Proposed the TVO-MDP algorithm and conducted optimization and complexity analysis. The experiment results show our method's effectiveness.

Key words: Test power,Delay test vector ordering,Markov decision processes,Transfer probability

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