Top-Down Synthesis for Library Learning

This thesis introduces corpus-guided top-down synthesis as a mechanism for synthesizing library functions that capture common functionality from a corpus of programs in a domain specific language (DSL). The algorithm builds abstractions directly from initial DSL primitives, using syntactic pattern m...

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Bibliographic Details
Main Author: Bowers, Matthew L.
Other Authors: Solar-Lezama, Armando
Format: Thesis
Published: Massachusetts Institute of Technology 2023
Online Access:https://hdl.handle.net/1721.1/151374