A Collaborative Requirement-Mining framework to support OEMs

Philippe Veron (1) , Frédéric Segonds (2) , Nicolas Croue (3)

1 LSIS - Laboratoire des Sciences de l'Information et des Systèmes
2 LCPI - Laboratoire Conception de Produits et Innovation
3 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 observe a signi cant 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 suggests 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 e ective strategic decisions. The framework supports OEMs willing to distil a subset of key requirements from large unstructured and semi-structured speci cations.

Mots clés: Requirements; exploration; cooperative engineering; collaborative decision making; visual analytics; framework

Domaines: Ingénierie assistée par ordinateur

Philippe Veron, Frédéric Segonds, Nicolas Croue. A Collaborative Requirement-Mining framework to support OEMs. Cooperative Design, Visualization and Engineering (CDVE) Conference, Sep 2015, Mallorca, Spain. pp.1-10. ⟨hal-01410197⟩