A Collaborative Requirement Mining Framework to Support OEMs

Philippe Veron (1, 2) , Frédéric Segonds (3) , Nicolas Croué (4)

1 LSIS- INSM - Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques
2 LSIS - Laboratoire des Sciences de l'Information et des Systèmes
3 LCPI - Laboratoire Conception de Produits et Innovation
4 KEONYS [Toulouse]

With the fastidiously ever-increasing complexity of systems, the relentless, massive customisation of products and the mushrooming accumulation of legal documents (standards, policies and laws), we can observe a significant increase in requirements. We consider the tremendous volume of requirements as big data with which companies struggle to make strategic decisions early on. This paper proposes a collaborative requirement mining framework to enable the decision-makers of an Original Equipment Manufacturer (OEM) to gain insight and discover opportunities in a massive set of requirements so as to make early effective strategic decisions. The framework supports OEMs willing to uncover a subset of key requirements by distilling large unstructured and semistructured specifications.

Mots clés: collab- orative decision making; visual analytics; framework; Requirements; Collaboration decision making; exploration; cooperative engineering

Domaines: Ingénierie assistée par ordinateur; Intelligence artificielle [cs.AI]; Recherche d'information [cs.IR]; Méthodologie [stat.ME]

Philippe Veron, Frédéric Segonds, Nicolas Croué. A Collaborative Requirement Mining Framework to Support OEMs. Cooperative Design, Visualization, and Engineering, Sep 2015, Mallorca, Spain. pp.105-114. ⟨hal-01207194⟩