Improving Confidence in Experimental Systems through Automated Construction of Argumentation Diagrams

Abstract : Experimental and critical systems are two universes that are more and more tangling together in domains such as biotechnologies or aeronautics. Verification, Validation and Accreditation (VV&A) processes are an everyday issue for these domains and the large scale of experiments needed to work out a system leads to overhead issues. All internal V&V has to be documented and traced to ensure that confidence in the produced system is good enough for accreditation organism. This paper presents and proposes a practical approach to automate the construction of argumentation systems based on empirical studies in order to represent the reasoning and improve confidence in such systems. We illustrate our approach with two use cases, one in the biomedical field and the other one in machine learning workflow domain.
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Clément Duffau, Cécile Camillieri, Mireille Blay-Fornarino. Improving Confidence in Experimental Systems through Automated Construction of Argumentation Diagrams. 19th International Conference on Enterprise Information Systems (ICEIS), Apr 2017, Porto, Portugal. ⟨hal-01678797⟩

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