The UML diagram to VHDL code transformation based on MDA methodology

Chi Pan Hwang, Mu Song Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Model Driven Architecture (MDA) methodology requires several intelligent operation stages, such as the computation independent model transformation (CIMT), the platform independent model transformation (PIMT), and the platform specific model transformation (PSMT), to progressively transform an abstract model to a physical system. The special Unified Modeling Language (UML) or StarUML is the core tool of CIMT that models a digital system in a diagram paradigm. PIMT uses the Python language with minidom object to perform a series translation from UML diagram to VHSIC Hardware Description Language (VHDL) code. Finally, the PSMT imports an os object to Python for running a series of synthesis command script to get bit stream that is finally downloaded into FPGA device to complete the realization of the digital logic circuit.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings
Pages496-503
Number of pages8
EditionPART 2
DOIs
Publication statusPublished - 2013 Oct 7
Event4th International Conference on Advances in Swarm Intelligence, ICSI 2013 - Harbin, China
Duration: 2012 Jun 122012 Jun 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7929 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Advances in Swarm Intelligence, ICSI 2013
CountryChina
CityHarbin
Period12-06-1212-06-15

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hwang, C. P., & Chen, M. S. (2013). The UML diagram to VHDL code transformation based on MDA methodology. In Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings (PART 2 ed., pp. 496-503). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7929 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-38715-9-59