Accelerating search-based program synthesis using learned probabilistic models

Article Details
Title:	Accelerating search-based program synthesis using learned probabilistic models
Article URLs:	https://doi.org/10.1145/3192366.3192410
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Authors:	Woosuk Lee	University of Pennsylvania
	Kihong Heo	University of Pennsylvania
	Rajeev Alur	University of Pennsylvania
	Mayur Naik	University of Pennsylvania
Sharing:	Unknown
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Artifact Evaluation Badge:	Artifacts for some papers are reviewed by an artifact evaluation, reproducibility, or similarly named committee. This is one such paper that passed review. awarded
Artifact URLs:	https://github.com/wslee/euphony https://dl.acm.org/citation.cfm?id=3211992 https://dl.acm.org/ft_gateway.cfm?id=3192410&type=zip&path=%2F3200000%2F3192410%2Fsupp%2Fpldi18main%2Dp211%2Dp%2Daux%2Ezip&supp=1&dwn=1
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NSF Award Numbers:	1138996, 1253867, 1526270
DBLP Key:	conf/pldi/LeeHAN18
Author Comments:

ACM Programming Language Design and Implementation, PLDI 2018