A Collaborative Requirement Mining Framework to Support OEMs

Abstract : 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.
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  • HAL Id : hal-01207194, version 1
  • ENSAM : http://hdl.handle.net/10985/10269

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Romain Pinquié, 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⟩

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