Test Generation Guided Design for Testability


Autoria(s): Wu, Peng
Data(s)

20/10/2004

20/10/2004

01/07/1988

Resumo

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.

Formato

129 p.

13659756 bytes

5291048 bytes

application/postscript

application/pdf

Identificador

AITR-1051

http://hdl.handle.net/1721.1/6837

Idioma(s)

en_US

Relação

AITR-1051

Palavras-Chave #artificial intelligence #knowledge representation #testsgeneration #knowledge-based systems #VLSI design for testability