scholarly journals A Framework for Compositional Verification of Multi-valued Systems via Abstraction-Refinement

Author(s):  
Yael Meller ◽  
Orna Grumberg ◽  
Sharon Shoham
2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Lianyi Zhang ◽  
Qingdi Meng ◽  
Kueiming Lo

The efficiency of the compositional verification of invariants depends on the abstraction, which may lead to verification incompleteness. The invariant strengthening and state partitioning techniques are proposed in this paper. The former could refine the overapproximation by removing the unreachable states, and the latter is a variant of counterexample-guided abstraction refinement. Integrated with these two refinement techniques, a unified compositional verification framework is presented to strengthen the abstraction and find counterexamples. Some examples are included to show that the verification of the safety properties in component-based systems has been achieved by our framework.


2013 ◽  
Vol 24 (4) ◽  
pp. 289-319 ◽  
Author(s):  
Augusto Sampaio ◽  
Sidney Nogueira ◽  
Alexandre Mota ◽  
Yoshinao Isobe

2020 ◽  
Author(s):  
Tamás Tóth ◽  
István Majzik

AbstractAlgorithms and protocols with time dependent behavior are often specified formally using timed automata. For practical real-time systems, besides real-valued clock variables, these specifications typically contain discrete data variables with nontrivial data flow. In this paper, we propose a configurable lazy abstraction framework for the location reachability problem of timed automata that potentially contain discrete variables. Moreover, based on our previous work, we uniformly formalize in our framework several abstraction refinement strategies for both clock and discrete variables that can be freely combined, resulting in many distinct algorithm configurations. Besides the proposed refinement strategies, the configurability of the framework allows the integration of existing efficient lazy abstraction algorithms for clock variables based on $${\textit{LU}}$$ LU -bounds. We demonstrate the applicability of the framework and the proposed refinement strategies by an empirical evaluation on a wide range of timed automata models, including ones that contain discrete variables or diagonal constraints.


2017 ◽  
Vol 1 (OOPSLA) ◽  
pp. 1-26 ◽  
Author(s):  
David Swasey ◽  
Deepak Garg ◽  
Derek Dreyer

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