Title
On combining state space reductions with global fairness assumptions
Abstract
Model checking has established itself as an effective system analysis method, as it is capable of proving/dis-proving properties automatically. Its application to practical systems is however limited by state space explosion. Among effective state reduction techniques are symmetry reduction and partial order reduction. Global fairness often plays a vital role in designing self-stabilizing population protocols. It is known that combining fairness and symmetry reduction is nontrivial. In this work, we first show that global fairness, unlike weak/strong fairness, can be combined with symmetry reduction. We extend the PAT model checker with the technique and demonstrate its usability by verifying recently proposed population protocols. Second, we show that partial order reduction is not property-preserving with global fairness.
Year
Venue
Keywords
2011
FM
effective system analysis method,partial order reduction,state space reduction,model checking,global fairness,effective state reduction technique,pat model checker,symmetry reduction,self-stabilizing population protocol,global fairness assumption,strong fairness,population protocol
Field
DocType
Citations 
Population,Model checking,Computer science,Usability,Theoretical computer science,Partial order reduction,Symmetry reduction,State space
Conference
2
PageRank 
References 
Authors
0.38
28
5
Name
Order
Citations
PageRank
Shao Jie Zhang1564.71
Jun Sun21407120.35
Jun Pang320.38
Yang Liu4222.60
Jin Song Dong51369107.12