Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6837
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dc.creatorWu, Peng-
dc.date2004-10-20T20:00:56Z-
dc.date2004-10-20T20:00:56Z-
dc.date1988-07-01-
dc.date.accessioned2013-10-09T02:47:11Z-
dc.date.available2013-10-09T02:47:11Z-
dc.date.issued2013-10-09-
dc.identifierAITR-1051-
dc.identifierhttp://hdl.handle.net/1721.1/6837-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionThis 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.format129 p.-
dc.format13659756 bytes-
dc.format5291048 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAITR-1051-
dc.subjectartificial intelligence-
dc.subjectknowledge representation-
dc.subjecttestsgeneration-
dc.subjectknowledge-based systems-
dc.subjectVLSI design for testability-
dc.titleTest Generation Guided Design for Testability-
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