6 research outputs found

    Two Pattern Test Cubes for Transition Path Delay Faults Test for ISCAS-85 C432

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    ABSTRACT: Considering full-scan circuits, incompletely-specified tests, or test cubes, are used for test data compression. When considering path delay faults, certain specified input values in a test cube are needed only for determining the lengths of the paths associated with detected faults. Path delay faults, and therefore, small delay defects, would still be detected if such values are unspecified. The goal of this paper is to explore the possibility of increasing the number of unspecified input values in a test set for path delay faults by un specifying such values in order to make the test set more amenable to test data compression. Experimental results indicate that significant numbers of such values exist. The proposed procedure unspecified them gradually to obtain a series of test sets with increasing numbers of unspecified values and decreasing path lengths. Experimental results also indicate that filling the unspecified values randomly (as with some test data compression methods) recovers some or all of the path lengths associated with detected path delay faults. The procedure uses a matching of the sets of detected faults for the comparison of path lengths

    Pseudo-functional testing: bridging the gap between manufacturing test and functional operation.

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    Yuan, Feng.Thesis (M.Phil.)--Chinese University of Hong Kong, 2009.Includes bibliographical references (leaves 60-65).Abstract also in Chinese.Abstract --- p.iAcknowledgement --- p.iiChapter 1 --- Introduction --- p.1Chapter 1.1 --- Manufacturing Test --- p.1Chapter 1.1.1 --- Functional Testing vs. Structural Testing --- p.2Chapter 1.1.2 --- Fault Model --- p.3Chapter 1.1.3 --- Automatic Test Pattern Generation --- p.4Chapter 1.1.4 --- Design for Testability --- p.6Chapter 1.2 --- Pseudo-Functional Manufacturing Test --- p.13Chapter 1.3 --- Thesis Motivation and Organization --- p.16Chapter 2 --- On Systematic Illegal State Identification --- p.19Chapter 2.1 --- Introduction --- p.19Chapter 2.2 --- Preliminaries and Motivation --- p.20Chapter 2.3 --- What is the Root Cause of Illegal States? --- p.22Chapter 2.4 --- Illegal State Identification Flow --- p.26Chapter 2.5 --- Justification Scheme Construction --- p.30Chapter 2.6 --- Experimental Results --- p.34Chapter 2.7 --- Conclusion --- p.35Chapter 3 --- Compression-Aware Pseudo-Functional Testing --- p.36Chapter 3.1 --- Introduction --- p.36Chapter 3.2 --- Motivation --- p.38Chapter 3.3 --- Proposed Methodology --- p.40Chapter 3.4 --- Pattern Generation in Compression-Aware Pseudo-Functional Testing --- p.42Chapter 3.4.1 --- Circuit Pre-Processing --- p.42Chapter 3.4.2 --- Pseudo-Functional Random Pattern Generation with Multi-Launch Cycles --- p.43Chapter 3.4.3 --- Compressible Test Pattern Generation for Pseudo-Functional Testing --- p.45Chapter 3.5 --- Experimental Results --- p.52Chapter 3.5.1 --- Experimental Setup --- p.52Chapter 3.5.2 --- Results and Discussion --- p.54Chapter 3.6 --- Conclusion --- p.56Chapter 4 --- Conclusion and Future Work --- p.58Bibliography --- p.6

    Fast identification of untestable delay faults using implications

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    Fast Identification of Untestable Delay Faults using Implications

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    We propose a novel algorithm to rapidly identify untestable delay faults using pre-computed static logic implications. Our fault-independent analysis identifies large sets of untestable faults, if any, without enumerating them. The cardinalities of these sets are obtained by using a counting algorithm that has quadratic complexity in the number of lines. Since our method is based on an incomplete set of logic implications, it gives only a lower bound on the number of untestable faults. A postprocessing step can list the untestable faults, if desired. Targeting untestable delay faults for test generation by an automatic test pattern generation (ATPG) tool can be avoided. The method works for the segment delay fault model and its special case, the path delay fault model, and identifies robustly untestable, non-robustly untestable, and functionally unsensitizable delay faults. Results on benchmark circuits show that many delay faults are identified as untestable in a very short time. For the benchmark circuit c6288, our algorithm identified 1.978 × 10 20 functionally unsensitizable path faults in 3 CPU seconds.
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