Abstract
Duplicate detection is an expensive operation of disk-based model checkers. It consists of comparing some potentially new states, the candidate states, to previous visited states. We propose a new approach to this technique called dynamic delayed duplicate detection. This one exploits some typical properties of states spaces, and adapts itself to the structure of the state space to dynamically decide when duplicate detection must be conducted. We implemented this method in a new algorithm and found out that it greatly cuts down the cost of duplicate detection. On some classes of models, it performs significantly better than some previously published algorithms.
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Evangelista, S. (2008). Dynamic Delayed Duplicate Detection for External Memory Model Checking . In: Havelund, K., Majumdar, R., Palsberg, J. (eds) Model Checking Software. SPIN 2008. Lecture Notes in Computer Science, vol 5156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85114-1_8
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DOI: https://doi.org/10.1007/978-3-540-85114-1_8
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