A Collaborative Requirement Mining Framework to Support OEMs

Romain Pinquié (1, 2) , 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

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 semi-structured specifications.

Mots clés: Visual analytics; Framework; Requirements; Exploration; Cooperative engineering; Collaborative decision making

Domaines: Sciences de l'ingénieur [physics]; Ingénierie assistée par ordinateur; Modélisation et simulation

Romain Pinquié, Philippe Veron, Frédéric Segonds, Nicolas Croué. A Collaborative Requirement Mining Framework to Support OEMs. Yuhua Luo Cooperative Design, Visualization, and Engineering, 9320, Springer, pp.105-114, 2015, 978-3-319-24132-6. ⟨10.1007/978-3-319-24132-6_13⟩. ⟨hal-01315567⟩