Title
Efficient MUS extraction with resolution
Abstract
We report advances in state-of-the-art algorithms for the problem of Minimal Unsatisfiable Subformula (MUS) extraction. First, we demonstrate how to apply techniques used in the past to speed up resolution-based Group MUS extraction to plain MUS extraction. Second, we show that model rotation, presented in the context of assumption-based MUS extraction, can also be used with resolution-based MUS extraction. Third, we introduce an improvement to rotation, called eager rotation. Finally, we propose a new technique for speeding-up resolution-based MUS extraction, called path strengthening. We integrated the above techniques into the publicly available resolution-based MUS extractor HaifaMUC, which, as a result, now outperforms leading MUS extractors.
Year
DOI
Venue
2013
10.1109/FMCAD.2013.6679410
Formal Methods in Computer-Aided Design
Keywords
Field
DocType
computability,group theory,HaifaMUC,assumption-based MUS extraction,eager rotation,minimal unsatisfiable subformula,model rotation,path strengthening,resolution-based Group MUS extraction,resolution-based MUS extraction
Computer science,Algorithm,Computability,Extractor,Speedup
Conference
Citations 
PageRank 
References 
16
0.60
12
Authors
3
Name
Order
Citations
PageRank
Alexander Nadel121313.95
Vadim Ryvchin2755.68
Ofer Strichman3107163.61