Skip to Main content Skip to Navigation
Conference papers

Formal Ontological Driven Model Refactoring

Neeraj Kumar Singh 1 Yamine Aït-Ameur 1 Dominique Méry 2, 3, 4, 5
2 VERIDIS - Modeling and Verification of Distributed Algorithms and Systems
LORIA - FM - Department of Formal Methods , Inria Nancy - Grand Est, MPII - Max-Planck-Institut für Informatik
5 MOSEL - Proof-oriented development of computer-based systems
LORIA - FM - Department of Formal Methods
Abstract : Refactoring, successfully used in the field of programming, can be used in maintenance and restructuring of the large and complex models. In this paper, we present a novel approach for model refactoring and a set of modelling patterns that are applicable for refinement-based formal development. In order to carry out this study, we investigate the previously developed large and complex model and required ontology to develop a domain model and a refactored system model. Further, we use the Rodin tools to check the internal consistency with respect to the desired functional behaviour and the required safety properties. Our main contributions are: to develop a refactoring technique related to the \textit{ correct by construction} approach; to use the domain specific knowledge in a system model explicitly; to define a set of modelling patterns; and to define a restructuring mechanism in the formal development. Finally, this proposed approach is evaluated through a complex medical case study: \textit{ ECG clinical assessment protocol}.
Complete list of metadatas

https://hal.inria.fr/hal-01939006
Contributor : Dominique Méry <>
Submitted on : Thursday, November 29, 2018 - 10:22:13 AM
Last modification on : Tuesday, September 8, 2020 - 9:44:02 AM

Identifiers

  • HAL Id : hal-01939006, version 1

Citation

Neeraj Kumar Singh, Yamine Aït-Ameur, Dominique Méry. Formal Ontological Driven Model Refactoring. ICECCS 2018 - 23rd International Conference on Engineering of Complex Computer Systems, Dec 2018, Melbourne, Australia. ⟨hal-01939006⟩

Share

Metrics

Record views

131