Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
Predicate Generation for Learning-Based Quantifier-Free Loop Invariant Inference
verfasst von : Yungbum Jung, Wonchan Lee, Bow-Yaw Wang, Kwangkuen Yi
Erschienen in: Tools and Algorithms for the Construction and Analysis of Systems
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
We address the predicate generation problem in the context of loop invariant inference. Motivated by the interpolation-based abstraction refinement technique, we apply the interpolation theorem to synthesize predicates implicitly implied by program texts. Our technique is able to improve the effectiveness and efficiency of the learning-based loop invariant inference algorithm in [14]. Experiments excerpted from Linux, SPEC2000, and Tar source codes are reported.