Published April 26, 2017
| Version v1
Conference paper
Improving Confidence in Experimental Systems through Automated Construction of Argumentation Diagrams
Contributors
Others:
- Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS) ; Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- MXM-AXONIC
Description
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.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.science/hal-01678797
- URN
- urn:oai:HAL:hal-01678797v1
Origin repository
- Origin repository
- UNICA