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Just-in-Time Learning for Inductive Program Synthesis Artifact
This code is the implementation for the first version of the paper titled "Just-in-Time Learning for Inductive Program Synthesis" submitted to OOPSLA 2020 AEC. The paper's title has since then been changed to "Just-in-Time Learning for Bottom-up Enumerative Synthesis". The archive contains the main software artifact, a guide on how to evaluate the software artifact and the first version of the paper.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average visibility views 89 download downloads 72 citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average Powered byBIP!
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This code is the implementation for the first version of the paper titled "Just-in-Time Learning for Inductive Program Synthesis" submitted to OOPSLA 2020 AEC. The paper's title has since then been changed to "Just-in-Time Learning for Bottom-up Enumerative Synthesis". The archive contains the main software artifact, a guide on how to evaluate the software artifact and the first version of the paper.