A model-based expert system for digital system design

Jung Gen Wu; Yu Hen Hu; William P.C. Ho; David Y.Y. Yun

doi:10.1109/54.64955

A model-based expert system for digital system design

Jung Gen Wu
, Yu Hen Hu
, William P.C. Ho
, David Y.Y. Yun

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

The authors describe an expert system that generates digital system design from high-level specifications. The system is based on a three-phase model of digital system design. First, the high-level behavioral specifications are translated into a sequence of primitive behavioral operations. Next, these primitive operations are grouped to form intermediate-level behavioral functions. Finally, structural function modules are selected to implement these functions. The advantages of this model-based reasoning technique is that more design solutions are possible and the design is easier to optimize.

Original language	English
Pages (from-to)	24-40
Number of pages	17
Journal	IEEE Design and Test of Computers
Volume	7
Issue number	6
DOIs	https://doi.org/10.1109/54.64955
Publication status	Published - 1990 Dec

ASJC Scopus subject areas

Software
Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/54.64955

Cite this

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author = "Wu, \{Jung Gen\} and Hu, \{Yu Hen\} and Ho, \{William P.C.\} and Yun, \{David Y.Y.\}",

note = "Funding Information: Y. Hu{\textquoteright}s work is supported by a grant from the National Science Foundation under contract MIP8896 1 1 1.",

year = "1990",

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AU - Ho, William P.C.

AU - Yun, David Y.Y.

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PY - 1990/12

Y1 - 1990/12

N2 - The authors describe an expert system that generates digital system design from high-level specifications. The system is based on a three-phase model of digital system design. First, the high-level behavioral specifications are translated into a sequence of primitive behavioral operations. Next, these primitive operations are grouped to form intermediate-level behavioral functions. Finally, structural function modules are selected to implement these functions. The advantages of this model-based reasoning technique is that more design solutions are possible and the design is easier to optimize.

AB - The authors describe an expert system that generates digital system design from high-level specifications. The system is based on a three-phase model of digital system design. First, the high-level behavioral specifications are translated into a sequence of primitive behavioral operations. Next, these primitive operations are grouped to form intermediate-level behavioral functions. Finally, structural function modules are selected to implement these functions. The advantages of this model-based reasoning technique is that more design solutions are possible and the design is easier to optimize.

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A model-based expert system for digital system design

Abstract

ASJC Scopus subject areas

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