Skip to Main content Skip to Navigation
Conference papers

Inferring Approximated Models for Systems Engineering

Alexandre Petrenko Keqin Li Roland Groz 1 Karim Hossen Catherine Oriat 1
1 VASCO - Validation de Systèmes, Composants et Objets logiciels
LIG - Laboratoire d'Informatique de Grenoble
Abstract : Engineering safe and reliable systems demands rigorous approaches such as formal methods, using models. Since models are not always available, one needs to infer them from software artifacts. This paper defines a new inference approach for input-output systems that is based on FSM-based testing theory. Central to the approach is the notion of initial quotient of an FSM associated with a partial characterization set that controls the precision of this approximated model. The proposed method infers a model of a system under test by building increasingly precise quotients of it using counterexamples. Various experiments demonstrate its practical usability.
Document type :
Conference papers
Complete list of metadata
https://hal.inria.fr/hal-00976109
Contributor : Catherine Oriat <>
Submitted on : Wednesday, April 9, 2014 - 4:20:00 PM
Last modification on : Tuesday, December 8, 2020 - 10:18:09 AM

Identifiers

Collections

CNRS | UGA | LIG_GLSI_VASCO | LIG_GLSI | LIG

Citation

Alexandre Petrenko, Keqin Li, Roland Groz, Karim Hossen, Catherine Oriat. Inferring Approximated Models for Systems Engineering. 15th IEEE International Symposium on High Assurance Systems Engineering (HASE 2014), 2014, Miami, Florida, United States. pp.249-253, ⟨10.1109/HASE.2014.46⟩. ⟨hal-00976109⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

338

 

Contact                    Legal Notice                    Personal Data