Quantitative Corner Case Feature Analysis of Hybrid Automata with ForFET-SMT

Antonio Anastasio Bruto da Costa (1) , Pallab Dasgupta (1) , Nikolaos Kekatos (2, 3)

1 IIT Kharagpur - Indian Institute of Technology Kharagpur
2 VERIMAG - IMAG - VERIMAG
3 UGA - Université Grenoble Alpes

The analysis and verification of hybrid automata (HA) models against rich formal properties can be a challenging task. Existing methods and tools can mainly reason whether a given property is satisfied or violated. However, such qualitative answers might not provide sufficient information about the model behaviors. This paper presents the ForFET-SMT tool which can be used to reason quantitatively about such properties. It employs feature automata and can evaluate quantitative property corners of HA. ForFET-SMT uses two third-party formal verification tools as its backbone: the SpaceEx reachability tool and the SMT solver dReach/dReal. Herein, we describe the design and implementation of ForFET-SMT and present its functionalities and modules. To improve the usability of the tool for non-expert users, we also provide a list of quantitative property templates.

Domaines: Théorie et langage formel [cs.FL]; Autre [cs.OH]; Logique en informatique [cs.LO]

Antonio Anastasio Bruto da Costa, Pallab Dasgupta, Nikolaos Kekatos. Quantitative Corner Case Feature Analysis of Hybrid Automata with ForFET-SMT. 2020. ⟨hal-03091395⟩