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Learning to Represent Programs with Property Signatures
[article]
2020
arXiv
pre-print
We introduce the notion of property signatures, a representation for programs and program specifications meant for consumption by machine learning algorithms. Given a function with input type τ_in and output type τ_out, a property is a function of type: (τ_in, τ_out) →Bool that (informally) describes some simple property of the function under consideration. For instance, if τ_in and τ_out are both lists of the same type, one property might ask 'is the input list the same length as the output
arXiv:2002.09030v1
fatcat:ew5evgqhtjcwdllz4oc5fj75x4