File(s) stored somewhere else

Please note: Linked content is NOT stored on Carnegie Mellon University and we can't guarantee its availability, quality, security or accept any liability.

Optimizing Symbolic Model Checking for Constraint-Rich Models

journal contribution
posted on 01.01.1999, 00:00 authored by Bwolen Yang, Reid SimmonsReid Simmons, Randal BryantRandal Bryant, David O'HallaronDavid O'Hallaron

This paper presents optimizations for verifying systems with complex time-invariant constraints. These constraints arise naturally from modeling physical systems, e.g., in establishing the relationship between different components in a system. To verify constraint-rich systems, we propose two new optimizations. The first optimization is a simple, yet powerful, extension of the conjunctivepartitioning algorithm. The second is a collection of BDD-based macro-extraction and macro-expansion algorithms to remove state variables. We show that these two optimizations are essential in verifying constraint-rich problems; in particular, this work has enabled the verification of fault diagnosis models of the Nomad robot (an Antarctic meteorite explorer) and of the NASA Deep Space One spacecraft.


Publisher Statement

All Rights Reserved



Usage metrics