Title
Invariant Checking Of Nra Transition Systems Via Incremental Reduction To Lra With Euf
Abstract
Model checking invariant properties of designs, represented as transition systems, with non-linear real arithmetic (NRA), is an important though very hard problem. On the one hand NRA is a hard-to-solve theory; on the other hand most of the powerful model checking techniques lack support for NRA. In this paper, we present a counterexampleguided abstraction refinement (CEGAR) approach that leverages linearization techniques from differential calculus to enable the use of mature and efficient model checking algorithms for transition systems on linear real arithmetic (LRA) with uninterpreted functions (EUF). The results of an empirical evaluation confirm the validity and potential of this approach.
Year
DOI
Venue
2018
10.1007/978-3-662-54577-5_4
TOOLS AND ALGORITHMS FOR THE CONSTRUCTION AND ANALYSIS OF SYSTEMS, TACAS 2017, PT I
DocType
Volume
ISSN
Journal
10205
0302-9743
Citations 
PageRank 
References 
6
0.46
18
Authors
5
Name
Order
Citations
PageRank
Alessandro Cimatti15064323.15
Alberto Griggio262436.37
Ahmed Irfan3152.32
Marco Roveri4167896.70
Roberto Sebastiani52455237.86