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Natural Language Processing of Requirements for Model-Based Product Design with ENOVIA/CATIA V6

  • Romain PinquiéEmail author
  • Philippe Véron
  • Frédéric Segonds
  • Nicolas Croué
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 467)

Abstract

The enterprise level software application that supports the strategic product-centric, lifecycle-oriented and information-driven Product Lifecycle Management business approach should enable engineers to develop and manage requirements within a Functional Digital Mock-Up. The integrated, model-based product design ENOVIA/CATIA V6 RFLP environment makes it possible to use parametric modelling among requirements, functions, logical units and physical organs. Simulation can therefore be used to verify that the design artefacts comply with the requirements. Nevertheless, when dealing with document-based specifications, the definition of the knowledge parameters for each requirement is a labour-intensive task. Indeed, analysts have no other alternative than to go through the voluminous specifications to identify the values of the performance requirements and design constraints, and to translate them into knowledge parameters. We propose to use natural language processing techniques to automatically generate Parametric Property-Based Requirements from unstructured and semi-structured specifications. We illustrate our approach through the design of a mechanical ring.

Keywords

Functional digital mock-up ENOVIA V6, CATIA V6 Natural language processing Requirements Parametric modelling 

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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Romain Pinquié
    • 1
    Email author
  • Philippe Véron
    • 1
  • Frédéric Segonds
    • 2
  • Nicolas Croué
    • 3
  1. 1.LSIS, UMR CNRS 7296, Arts et Métiers ParisTechAix-en-ProvenceFrance
  2. 2.LCPI, Arts et Métiers ParisTechParisFrance
  3. 3.KEONYSToulouseFrance

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