Statistical Techniques Complement UML When Developing Domain Models of Complex Dynamical Biosystems

Williams, Richard A, Timmis, Jon orcid.org/0000-0003-1055-0471 and Qwarnstrom, Eva E (2016) Statistical Techniques Complement UML When Developing Domain Models of Complex Dynamical Biosystems. PLoS ONE. e0160834. ISSN 1932-6203

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Copyright, Publisher and Additional Information: © 2016 Williams et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Published: 29 August 2016
  • Accepted: 26 July 2016
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 16 Sep 2016 08:31
Last Modified: 13 Nov 2019 10:49
Published Version: https://doi.org/10.1371/journal.pone.0160834
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1371/journal.pone.0160834

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Filename: journal.pone.0160834.PDF

Description: Statistical Techniques Complement

Licence: CC-BY 2.5

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