{"paper":{"title":"Learning to Order BDD Variables in Verification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"O. Grumberg, S. Livne, S. Markovitch","submitted_at":"2011-06-30T20:32:16Z","abstract_excerpt":"The size and complexity of software and hardware systems    have significantly increased in the past years.  As a result, it is    harder to guarantee their correct behavior. One of the most successful    methods for automated verification of finite-state systems is model    checking. Most of the current model-checking systems use binary    decision diagrams (BDDs) for the representation of the tested model    and in the verification process of its properties. Generally, BDDs    allow a canonical compact representation of a boolean function (given    an order of its variables). The more compac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1107.0020","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}