Under-Approximation Generation using Partial Order Reduction
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Year of publication | 2005 |
Type | Monograph |
MU Faculty or unit | |
Citation | |
Description | We propose a new on-the-fly approach which combines partial order reduction with the under-approximation technique for falsification and verification of LTL-X properties. It uses sensitivity relation and modified ample conditions to generate a reduced state space that is not fully stutter equivalent to the original one and it checks the desired property using representatives. Widening of under-approximations is fully automatic and does not rely on any supporting mechanisms like theorem-provers or SAT solvers. |
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