A pragmatic approach for measuring maintainability of dpra models

Rychkova Irina (), Fabrice Boissier (), Hassane Chraibi () and Rychkov Valentin ()
Additional contact information
Rychkova Irina: CRI - Centre de Recherche en Informatique de Paris 1 - UP1 - Université Paris 1 Panthéon-Sorbonne
Fabrice Boissier: CRI - Centre de Recherche en Informatique de Paris 1 - UP1 - Université Paris 1 Panthéon-Sorbonne
Hassane Chraibi: EDF R&D - EDF R&D - EDF - EDF
Rychkov Valentin: EDF R&D MRI - Management des Risques Industriels - EDF R&D - EDF R&D - EDF - EDF

Working Papers from HAL

Abstract: Dynamic Probabilistic Risk Assessment (DPRA) is a powerful concept that is used to evaluate design and safety of complex industrial systems. A DPRA model uses a conceptual system representation as a formal basis for simulation and analysis. In this paper we consider an adaptive maintenance of DPRA models that consist in modifying and extending a simplified model to a real-size DPRA model. We propose an approach for quantitative maintainability assessment of DPRA models created with an industrial modeling tool called PyCATSHOO. We review and adopt some metrics from conceptual modeling, software engineering and OO design for assessing maintainability of PyCATSHOO models. On the example of well-known "Heated Room" test case, we illustrate how the selected metrics can serve as early indicators of model modifiability and complexity. These indicators would allow experts to make better decisions early in the DPRA model development life cycle.

Keywords: DPRA (search for similar items in EconPapers)
Date: 2017-06-07
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-03982545

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