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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liangze Yin Fei He Min Zhou Ming Gu |
| Copyright Year | 2013 |
| Description | Author affiliation: Key Lab. for Inf. Syst. Security, Tsinghua Univ., Beijing, China (Liangze Yin; Fei He; Min Zhou; Ming Gu) |
| Abstract | Temporal induction is a SAT-based model checking technique. We prove that the SAT instances generated by its induction rule can be reduced to the so called Incremental CNFs. A new DPLL procedure is customized for Incremental CNFs, so that the intermediate results in solving previous instances, including the learnt clauses and the search tree, can be reused in solving the next instance. To the best of our knowledge, this is the first result on reusing the search tree in SAT solving of temporal induction. Experimental results on a large number of benchmarks show significant performance gain of our approach. |
| Starting Page | 85 |
| Ending Page | 92 |
| File Size | 247065 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9780769550077 |
| DOI | 10.1109/ICECCS.2013.21 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-17 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Search problems Model checking Safety Laboratories Educational institutions Software Benchmark testing temporal induction search tree Incremental SAT bounded model checking |
| Content Type | Text |
| Resource Type | Article |
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