Ekaterina Komendantskaya (School of Computing, University of Dundee) |
Jónathan Heras (School of Computing, University of Dundee) |
Gudmund Grov (School of Mathematical and Computer Sciences, Heriot-Watt University) |
We present ML4PG - a machine learning extension for Proof General. It allows users to gather proof statistics related to shapes of goals, sequences of applied tactics, and proof tree structures from the libraries of interactive higher-order proofs written in Coq and SSReflect. The gathered data is clustered using the state-of-the-art machine learning algorithms available in MATLAB and Weka. ML4PG provides automated interfacing between Proof General and MATLAB/Weka. The results of clustering are used by ML4PG to provide proof hints in the process of interactive proof development. |
ArXived at: https://dx.doi.org/10.4204/EPTCS.118.2 | bibtex | |
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