Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

DSM Modelling for digital design using VerilogHDL

Authors
Xue Xing, Chen Yao, Junchao Wei
Corresponding Author
Xue Xing
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.314How to use a DOI?
Keywords
design structure matrix, modeling, Verilog HDL, digital design
Abstract

In the practice of product design, the efficient control of complexity has increasingly gained importance. The Dependency Structure Matrix (DSM) has proved to be a useful tool for analysing system structure and managing structural complexity. In order to provide a deep insight of system structure in designing Verilog HDL source code artefacts for digital system designers and project managers, the paper proposes a DSM modelling method based on the characteristics of the digital system structural modelling with Verilog and the component dependencies relationship. A DSM modelling example is presented. Result shows that with the DSM model, the source code artefacts can be efficiently analyzed.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.314How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xue Xing
AU  - Chen Yao
AU  - Junchao Wei
PY  - 2017/04
DA  - 2017/04
TI  - DSM Modelling for digital design using VerilogHDL
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1613
EP  - 1616
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.314
DO  - 10.2991/fmsmt-17.2017.314
ID  - Xing2017/04
ER  -