Functional Ownership through Fractional Uniqueness (Artefact)
UKRI| Verifying Resource-like Data Use in Programs via Types
Marshall, Danielle; Orchard, Dominic;
Functional Ownership through Fractional Uniqueness (Artefact)
This work is supported by an EPSRC Doctoral Training Award (Marshall) and EPSRC grant EP/T013516/1 (Verifying Resource-like Data Use in Programs via Types). Orchard is also supported in part by the generosity of Eric and Wendy Schmidt by recommendation of the Schmidt Sciences program.
Artifact for the paper of the same title that appears at OOPSLA 2024. Includes code examples in both Granule and Rust. See overview.pdf for more information.
- University of Kent United Kingdom
- University of Cambridge United Kingdom
graded modal types, ownership, fractional permissions, borrowing
graded modal types, ownership, fractional permissions, borrowing
selected citations These citations are derived from selected sources.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).1 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
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 1
Average
Average
Average