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Parameterized cast calculi and reusable meta-theory for gradually typed lambda calculi

Part of: Gradual Typing

Published online by Cambridge University Press:  11 November 2021

JEREMY G. SIEK Open the ORCID record for JEREMY G. SIEK [Opens in a new window]  and
TIANYU CHEN
JEREMY G. SIEK
Affiliation:
Indiana University, Bloomington, IN47405, USA (e-mails: [email protected],[email protected])
TIANYU CHEN
Affiliation:
Indiana University, Bloomington, IN47405, USA (e-mails: [email protected],[email protected])
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Abstract

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The research on gradual typing has led to many variations on the Gradually Typed Lambda Calculus (GTLC) of Siek & Taha (2006) and its underlying cast calculus. For example, Wadler and Findler (2009) added blame tracking, Siek et al. (2009) investigated alternate cast evaluation strategies, and Herman et al. (2010) replaced casts with coercions for space efficiency. The meta-theory for the GTLC has also expanded beyond type safety to include blame safety (Tobin-Hochstadt & Felleisen, 2006), space consumption (Herman et al., 2010), and the gradual guarantees (Siek et al., 2015). These results have been proven for some variations of the GTLC but not others. Furthermore, researchers continue to develop variations on the GTLC, but establishing all of the meta-theory for new variations is time-consuming. This article identifies abstractions that capture similarities between many cast calculi in the form of two parameterized cast calculi, one for the purposes of language specification and the other to guide space-efficient implementations. The article then develops reusable meta-theory for these two calculi, proving type safety, blame safety, the gradual guarantees, and space consumption. Finally, the article instantiates this meta-theory for eight cast calculi including five from the literature and three new calculi. All of these definitions and theorems, including the two parameterized calculi, the reusable meta-theory, and the eight instantiations, are mechanized in Agda making extensive use of module parameters and dependent records to define the abstractions.

Type
Research Article
Information
Journal of Functional Programming , Volume 31 , 2021 , e30
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
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© The Author(s), 2021. Published by Cambridge University Press

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