Novel Techniques for Improving Testability Analysis(Regular Sction)
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概要
- 論文の詳細を見る
The purpose of a testability analysis program is to estimate the difficulty of testing a fault. A good measuremment can give an early warning about the testing problem so as to provide guidance in improving the testability of a circuit. There have been researches attempting to efficiently compute the testability analysis. Among those, the Controllability and Observability Procedure COP [2] can calculate the testability value of a stuck-at fault efficiently in a tree-structured circuit but may be very inaccurate for a general circuit. The inaccuracy in COP is due to the ignorance of signal correlations. Recently, the algorithm of TAIR in [5] proposes a testability analysis algorithm, which starts from the result of COP and then gradually improves the result by applying a set of rules. The set of rules in TAIR can capture some signal correlations and therefore the results of TAIR are more accurate than COP. In this paper, we first prove that the rules in TAIR can be replaced by a closed-form formulation. Then, based on the closed-form formulation, we proposed two novel techniques to further improve the testability analysis results. Our experimental results have shown improvement over the results of TAIR.
- 社団法人電子情報通信学会の論文
- 2002-12-01
著者
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Chang Shih-chieh
National Tsing-hua University
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Cheng Ching-Hwa
Department of Electronic Engineering, Feng Chia University
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Cheng Ching-hwa
Department Of Computer Science And Information Engineering Da-yeh University
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SU Yin-He
VIA Technologies, Inc.
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Su Yin-he
Via Technologies Inc.
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- Novel Techniques for Improving Testability Analysis(Regular Sction)