Communications of the ACM
The temporal logic of reactive and concurrent systems
The temporal logic of reactive and concurrent systems
Patterns in property specifications for finite-state verification
Proceedings of the 21st international conference on Software engineering
Distributed Algorithms
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Software Analysis and Model Checking
CAV '02 Proceedings of the 14th International Conference on Computer Aided Verification
Testing Linear Temporal Logic Formulae on Finite Execution Traces
Testing Linear Temporal Logic Formulae on Finite Execution Traces
Bounded rational search for on-the-fly model checking of LTL properties
FSEN'09 Proceedings of the Third IPM international conference on Fundamentals of Software Engineering
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In this paper, we propose a new method of testing concurrent systems by using an artificial intelligence technique: reinforcement learning. In particular, the method verifies the liveness properties given in temporal logic formulas and dynamically controls a target system in runtime monitoring to efficiently reveal possible error against specification. In this control, the learning method accumulates necessary information by monitoring the running system. We built a simulator to evaluate this idea and conducted experiments with simple examples. As a result we showed the effectiveness of this approach for solving the difficult problem of testing the liveness properties of concurrent systems.