Measuring Maintainability of DPRA Models: A Pragmatic Approach. - Université Paris 1 Panthéon-Sorbonne Access content directly
Conference Poster Year : 2017

Measuring Maintainability of DPRA Models: A Pragmatic Approach.

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.
No file

Dates and versions

hal-03982578 , version 1 (10-02-2023)

Identifiers

  • HAL Id : hal-03982578 , version 1

Cite

Rychkova Irina. Measuring Maintainability of DPRA Models: A Pragmatic Approach.. ceur-ws.org. ER 2017 : International Conference on Conceptual Modeling ER 2017 : International Conference on Conceptual Modeling, Nov 2017, Valence, Spain. ceur-ws.org, Demo/Forum https://ceur-ws.org/Vol-1979/paper-26.pdf, https://ceur-ws.org/Vol-1979/paper-26.pdf. ⟨hal-03982578⟩
22 View
0 Download

Share

Gmail Mastodon Facebook X LinkedIn More