Mining Sequential Constraints for Pseudo-Functional Testing | IEEE ...
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This paper presents novel mining techniques for fast top-down functional constraint extraction. The extracted functional constraints capture illegal states ...
Abstract. Using DFT methods such as scan can improve testability and increase fault coverage. However, scan tests may scan in illegal or unreachable states ...
This paper presents novel mining techniques for fast top-down functional constraint extraction. The extracted functional constraints capture illegal states ...
Mining Sequential Constraints for Pseudo-Functional Testing | CoLab
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In this paper, we propose a novel technique on mining relationships in a sequential circuit to discover global constraints. In contrast to the traditional ...
Using DFT methods such as scan can improve testability and increase fault coverage. However, scan tests may scan in illegal or unreachable states during ...
Bibliographic details on Mining Sequential Constraints for Pseudo-Functional Testing.
Abstract. Constrained sequential pattern mining aims at identifying fre- quent patterns on a sequential database of items while ob-.
PrefixSpan integrated with pseudoprojection is the fastest among all the tested algorithms. Furthermore, this mining methodology can be extended to mining ...
Mar 5, 2022 · Comparing SUI with two other state-of-the-art algorithms on six test databases, we show that SUI has effective and efficient performance and memory usage.
ABSTRACT. Constraints are essential for many sequential pattern min- ing applications. However, there is no systematic study on constraint-based sequential ...