Automatic analysis of DMA races using model checking and k-induction
Formal Methods in System Design
Software verification using k-induction
SAS'11 Proceedings of the 18th international conference on Static analysis
Automatic analysis of scratch-pad memory code for heterogeneous multicore processors
TACAS'10 Proceedings of the 16th international conference on Tools and Algorithms for the Construction and Analysis of Systems
Tightening test coverage metrics: a case study in equivalence checking using k-induction
FMCO'10 Proceedings of the 9th international conference on Formal Methods for Components and Objects
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Strengthening a property allows it to be falsified/verified at an earlier induction depth. In this paper, we propose new preprocessing techniques for explicitly identifying co-invariants for a given safety property which are then added to that property for faster verification. First, we employ a path-oriented decision making engine to quickly identify several states which have paths to states violating the property. Next, we generate a set of candidate co-invariants and propose an induction-based technique to learn true co-invariants among those candidates. All the learned co-invariants are minimized using resolution and added to the original property to strengthen it. Experiments show that the induction depth needed to prove many safety properties can be significantly reduced via our strengthening, thereby achieving more than an order of magnitude runtime improvements.