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Showing 1 to 1 of 1 for “"learning invariants using Implication Counter-Examples (ICE) learning model"”.
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Learning-based inductive invariant synthesis
The problem of synthesizing adequate inductive invariants to prove a program correct lies at the heart of automated program verification. We investigate, herein, learning approaches to synthesize inductive invariants of sequential programs towards automatically verifying them. To this end, we …