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Deyaaeldeen Almahallawi

dblp:215/4322 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems › type systems
gradual typing
0.412019
Toward efficient gradual typing for structural types via coercions · PLDI 2019
Programming languages and type systems
type systems
0.412019
Toward efficient gradual typing for structural types via coercions · PLDI 2019
Programming languages and type systems › type systems
coercion
0.112019
Toward efficient gradual typing for structural types via coercions · PLDI 2019
YearPublicationVenuePosition
2019 Toward efficient gradual typing for structural types via coercions
abstract
Gradual typing combines static and dynamic typing in the same program. Siek et al. (2015) describe five criteria for gradually typed languages, including type soundness and the gradual guarantee. A significant number of languages have been developed in academia and industry that support some of these criteria (TypeScript, Typed Racket, Safe TypeScript, Transient Reticulated Python, Thorn, etc.) but relatively few support all the criteria (Nom, Gradualtalk, Guarded Reticulated Python). Of those that do, only Nom does so efficiently. The Nom experiment shows that one can achieve efficient gradual typing in languages with only nominal types, but many languages have structural types: function types, tuples, record and object types, generics, etc.
Andre Kuhlenschmidt, Deyaaeldeen Almahallawi, Jeremy G. Siek
PLDI2