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Electronic Notes in Theoretical Computer Science
Article . 2007 . Peer-reviewed
License: CC BY NC ND
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Lightweight Static Capabilities

Authors: Oleg Kiselyov; Chung-chieh Shan;

Lightweight Static Capabilities

Abstract

AbstractWe describe a modular programming style that harnesses modern type systems to verify safety conditions in practical systems. This style has three ingredients:(i)A compact kernel of trust that is specific to the problem domain.(ii)Unique names (capabilities) that confer rights and certify properties, so as to extend the trust from the kernel to the rest of the application.(iii)Static (type) proxies for dynamic values. We illustrate our approach using examples from the dependent-type literature, but our programs are written in Haskell and OCaml today, so our techniques are compatible with imperative code, native mutable arrays, and general recursion. The three ingredients of this programming style call for (1) an expressive core language, (2) higher-rank polymorphism, and (3) phantom types.

Keywords

static types, safety property, verification, Modular programming, Theoretical Computer Science, Computer Science(all)

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
gold