Demo Data from SIGIR 2026 / reviewers in the wild / expert
Alison M. Clark
dblp:173/9502
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 1 since 2021
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
2 papers |
Programming languages and type systems · 94% Program analysis · 6% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Programming languages and type systems › type systems
gradual typing |
0.8 | 2 | 2021 | Abstracting gradual typing moving forward: precise and space-efficient · Proc. ACM Program. Lang. 2021 Abstracting gradual typing · POPL 2016 |
Programming languages and type systems › type checking
runtime type checking |
0.5 | 1 | 2021 | Abstracting gradual typing moving forward: precise and space-efficient · Proc. ACM Program. Lang. 2021 |
Programming languages and type systems
type systems |
0.5 | 1 | 2021 | Abstracting gradual typing moving forward: precise and space-efficient · Proc. ACM Program. Lang. 2021 |
Programming languages and type systems › language semantics
dynamic semantics |
0.2 | 1 | 2016 | Abstracting gradual typing · POPL 2016 |
Programming languages and type systems › type systems
type soundness |
0.2 | 1 | 2016 | Abstracting gradual typing · POPL 2016 |
Program analysis › static analysis
abstract interpretation |
0.1 | 1 | 2021 | Abstracting gradual typing moving forward: precise and space-efficient · Proc. ACM Program. Lang. 2021 |
Methods — techniques the papers use, named apart from their topics
abstract interpretation · 0.8forward-completeness · 0.5cast calculus · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Abstracting gradual typing moving forward: precise and space-efficientabstractAbstracting Gradual Typing (AGT) is a systematic approach to designing gradually-typed languages. Languages developed using AGT automatically satisfy the formal semantic criteria for gradual languages identified by Siek et al. Nonetheless, vanilla AGT semantics can still have important shortcomings. First, a gradual language's runtime checks should preserve the space-efficiency guarantees inherent to the underlying static and dynamic languages. To the contrary, the default operational semantics of AGT break proper tail calls. Second, a gradual language's runtime checks should enforce basic modular type-based invariants expected from the static type discipline. To the contrary, the default operational semantics of AGT may fail to enforce some invariants in surprising ways. We demonstrate this in the GTFL ≲ language of Garcia et al. This paper addresses both problems at once by refining the theory underlying AGT's dynamic checks. Garcia et al. observe that AGT involves two abstractions of static types: one for the static semantics and one for the dynamic semantics. We recast the latter as an abstract interpretation of subtyping itself, while gradual types still abstract static types. Then we show how forward-completeness (Giacobazzi and Quintarelli) is key to supporting both space-efficient execution and reliable runtime type enforcement. Felipe Bañados, Alison M. Clark, Khurram A. Jafery, Ronald Garcia |
Proc. ACM Program. Lang. | 2 |
| 2016 | Abstracting gradual typingabstractLanguage researchers and designers have extended a wide variety of type systems to support gradual typing, which enables languages to seamlessly combine dynamic and static checking. These efforts consistently demonstrate that designing a satisfactory gradual counterpart to a static type system is challenging, and this challenge only increases with the sophistication of the type system. Gradual type system designers need more formal tools to help them conceptualize, structure, and evaluate their designs. In this paper, we propose a new formal foundation for gradual typing, drawing on principles from abstract interpretation to give gradual types a semantics in terms of pre-existing static types. Abstracting Gradual Typing (AGT for short) yields a formal account of consistency---one of the cornerstones of the gradual typing approach---that subsumes existing notions of consistency, which were developed through intuition and ad hoc reasoning. Given a syntax-directed static typing judgment, the AGT approach induces a corresponding gradual typing judgment. Then the type safety proof for the underlying static discipline induces a dynamic semantics for gradual programs defined over source-language typing derivations. The AGT approach does not resort to an externally justified cast calculus: instead, run-time checks naturally arise by deducing evidence for consistent judgments during proof reduction. To illustrate the approach, we develop a novel gradually-typed counterpart for a language with record subtyping. Gradual languages designed with the AGT approach satisfy by construction the refined criteria for gradual typing set forth by Siek and colleagues. Ronald Garcia, Alison M. Clark, Éric Tanter |
POPL | 2 |