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Test Generation Guided Design for Testability

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dc.creator Wu, Peng
dc.date 2004-10-20T20:00:56Z
dc.date 2004-10-20T20:00:56Z
dc.date 1988-07-01
dc.date.accessioned 2013-10-09T02:47:11Z
dc.date.available 2013-10-09T02:47:11Z
dc.date.issued 2013-10-09
dc.identifier AITR-1051
dc.identifier http://hdl.handle.net/1721.1/6837
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description This thesis presents a new approach to building a design for testability (DFT) system. The system takes a digital circuit description, finds out the problems in testing it, and suggests circuit modifications to correct those problems. The key contributions of the thesis research are (1) setting design for testability in the context of test generation (TG), (2) using failures during FG to focus on testability problems, and (3) relating circuit modifications directly to the failures. A natural functionality set is used to represent the maximum functionalities that a component can have. The current implementation has only primitive domain knowledge and needs other work as well. However, armed with the knowledge of TG, it has already demonstrated its ability and produced some interesting results on a simple microprocessor.
dc.format 129 p.
dc.format 13659756 bytes
dc.format 5291048 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AITR-1051
dc.subject artificial intelligence
dc.subject knowledge representation
dc.subject testsgeneration
dc.subject knowledge-based systems
dc.subject VLSI design for testability
dc.title Test Generation Guided Design for Testability


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