Mopsa-C: Modular Domains and Relational Abstract Interpretation for C Programs (Competition Contribution) - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Mopsa-C: Modular Domains and Relational Abstract Interpretation for C Programs (Competition Contribution)

Résumé

Mopsa is a multilanguage static analysis platform relying on abstract interpretation. It is able to analyze C, Python, and programs mixing these two languages; we focus on the C analysis here. It provides a novel way to combine abstract domains, in order to offer extensibility and cooperation between them, which is especially beneficial when relational numerical domains are used. The analyses are currently flow-sensitive and fully context-sensitive. We focus only on proving programs to be correct, as our analyses are designed to be sound and terminating but not complete. We present our first participation to SV-Comp, where Mopsa earned a bronze medal in the SoftwareSystems category.
Fichier principal
Vignette du fichier
978-3-031-30820-8_37.pdf (503.19 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04077678 , version 1 (21-04-2023)

Licence

Paternité

Identifiants

Citer

Raphaël Monat, Abdelraouf Ouadjaout, Antoine Miné. Mopsa-C: Modular Domains and Relational Abstract Interpretation for C Programs (Competition Contribution). Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2023), Apr 2023, Paris, France. pp.565-570, ⟨10.1007/978-3-031-30820-8_37⟩. ⟨hal-04077678⟩
80 Consultations
15 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More