Title
A Systematic Study on Explicit-State Non-Zenoness Checking for Timed Automata
Abstract
Zeno runs, where infinitely many actions occur within finite time, may arise in Timed Automata models. Zeno runs are not feasible in reality and must be pruned during system verification. Thus it is necessary to check whether a run is Zeno or not so as to avoid presenting Zeno runs as counterexamples during model checking. Existing approaches on non-Zenoness checking include either introducing an additional clock in the Timed Automata models or additional accepting states in the zone graphs. In addition, there are approaches proposed for alternative timed modeling languages, which could be generalized to Timed Automata. In this work, we investigate the problem of non-Zenoness checking in the context of model checking LTL properties, not only evaluating and comparing existing approaches but also proposing a new method. To have a systematic evaluation, we develop a software toolkit to support multiple non-Zenoness checking algorithms. The experimental results show the effectiveness of our newly proposed algorithm, and demonstrate the strengths and weaknesses of different approaches.
Year
DOI
Venue
2015
10.1109/TSE.2014.2359893
IEEE Trans. Software Eng.
Keywords
Field
DocType
automata theory,non-zenoness,timed automata,model checking ltl properties,model checking,software toolkit,systematic evaluation,timed automata models,timed modeling languages,verification tool,clocks,system verification,zone graphs,graph theory,explicit-state nonzenoness checking,zeno runs,real-time systems,formal verification,automata,systematics,cost accounting
Zeno's paradoxes,Abstraction model checking,Model checking,Computer science,Automaton,Modeling language,Theoretical computer science,Timed automaton,Software,Counterexample
Journal
Volume
Issue
ISSN
41
1
0098-5589
Citations 
PageRank 
References 
0
0.34
28
Authors
8
Name
Order
Citations
PageRank
Ting Wang1111.34
Jun Sun21407120.35
xinyu359030.19
Yang Liu42194188.81
yuanjie5363.57
Jin Song Dong61369107.12
Xiaohu Yang71258.71
Xiaohong Li817344.41