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ML4PG is an extension of the Proof General interface, allowing the user toinvoke machine-learning algorithms and find proof similarities in Coq/SSReectlibraries. In this paper, we present three new improvements to ML4PG. First, anew method of "recurrent clustering" is introduced to collect statisticalfeatures from Coq terms. Now the user can receive suggestions about similardefinitions, types and lemma statements, in addition to proof strategies.Second, Coq proofs are split into patches to capture proof strategies thatcould arise at different stages of a proof. Finally, we improve ML4PG's outputintroducing an automaton-shape representation for proof patterns.

Proof Pattern Search in Coq/SSReflect