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We present Assume-Guarantee-Repair (AGR) - a novel framework which verifiesthat a program satisfies a set of properties and also repairs the program incase the verification fails. We consider communicating programs - these aresimple C-like programs, extended with synchronous actions over communicationchannels. Our method, which consists of a learning-based approach toassume-guarantee reasoning, performs verification and repair simultaneously: inevery iteration, AGR either makes another step towards proving that the(current) system satisfies the required properties, or alters the system in away that brings it closer to satisfying the properties. To handleinfinite-state systems we build finite abstractions, for which we check thesatisfaction of complex properties that contain first-order constraints, usingboth syntactic and semantic-aware methods. We implemented AGR and evaluated iton various communication protocols. Our experiments present compact proofs ofcorrectness and quick repairs.

Assume, Guarantee or Repair -- A Regular Framework for Non Regular Properties (full version)