Quantitative Corner Case Feature Analysis of Hybrid Automata with ForFET$^{SMT}$

TL;DR

This paper introduces ForFET$^{SMT}$, a tool that quantitatively analyzes hybrid automata properties using feature automata, leveraging existing verification tools to provide detailed insights beyond simple satisfaction or violation.

Contribution

The paper presents a novel tool that enables quantitative corner case analysis of hybrid automata properties, integrating feature automata with existing verification tools.

Findings

ForFET$^{SMT}$ effectively evaluates quantitative property corners.

The tool integrates SpaceEx and dReach/dReal for comprehensive analysis.

Usability improvements for non-expert users are provided.

Abstract

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.