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A proposal for taming uncertainty in the collaborative conceptual model development process

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OOPSLA '07: Companion to the 22nd ACM SIGPLAN conference on Object-oriented programming systems and applications companion

Pages 941 - 942

https://doi.org/10.1145/1297846.1297956

Published: 20 October 2007 Publication History

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Abstract

There have been various proposals for the formalization ofappropriate viewpoint-based frameworks. The model that we intend to devise attempts to provide a basis for conceptual model integration particularly with the existence of partial ignorance and uncertainty. The model will try to formalize the degree of uncertainty present in experts' expressions, and proposes tools for conceptual model integration and formal consensus building between the involved viewpoints.

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Bagheri EGhorbani A(2009)A belief-theoretic framework for the collaborative development and integration of para-consistent conceptual modelsJournal of Systems and Software10.5555/1519540.151969282:4(707-729)Online publication date: 1-Apr-2009
https://dl.acm.org/doi/10.5555/1519540.1519692
Bagheri EGhorbani A(2009)A belief-theoretic framework for the collaborative development and integration of para-consistent conceptual modelsJournal of Systems and Software10.1016/j.jss.2008.10.01282:4(707-729)Online publication date: Apr-2009
https://doi.org/10.1016/j.jss.2008.10.012
Bagheri EGhorbani A(2007)On the Collaborative Development of Para-Consistent Conceptual ModelsSeventh International Conference on Quality Software (QSIC 2007)10.1109/QSIC.2007.4385517(336-341)Online publication date: Oct-2007
https://doi.org/10.1109/QSIC.2007.4385517

Index Terms

A proposal for taming uncertainty in the collaborative conceptual model development process
1. Software and its engineering
  1. Software creation and management
    1. Software development process management
      1. Software development methods

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OOPSLA '07: Companion to the 22nd ACM SIGPLAN conference on Object-oriented programming systems and applications companion

October 2007

241 pages

ISBN:9781595938657

DOI:10.1145/1297846

General Chair:
Richard P. Gabriel
IBM Research, USA
,
Program Chairs:
David F. Bacon
IBM Research, USA
,
Cristina Videira Lopes
University of California, Irvine, USA
,
Guy L. Steele
Sun Labs, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 20 October 2007

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OOPSLA07: ACM SIGPLAN Object Oriented Programming Systems and Applications Conference

October 21 - 25, 2007

Quebec, Montreal, Canada

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Bagheri EGhorbani A(2009)A belief-theoretic framework for the collaborative development and integration of para-consistent conceptual modelsJournal of Systems and Software10.5555/1519540.151969282:4(707-729)Online publication date: 1-Apr-2009
https://dl.acm.org/doi/10.5555/1519540.1519692
Bagheri EGhorbani A(2009)A belief-theoretic framework for the collaborative development and integration of para-consistent conceptual modelsJournal of Systems and Software10.1016/j.jss.2008.10.01282:4(707-729)Online publication date: Apr-2009
https://doi.org/10.1016/j.jss.2008.10.012
Bagheri EGhorbani A(2007)On the Collaborative Development of Para-Consistent Conceptual ModelsSeventh International Conference on Quality Software (QSIC 2007)10.1109/QSIC.2007.4385517(336-341)Online publication date: Oct-2007
https://doi.org/10.1109/QSIC.2007.4385517

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A belief-theoretic framework for the collaborative development and integration of para-consistent conceptual models

A framework for distributed collaborative conceptual model development

Probabilistic logic under uncertainty

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