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Joongwon Ahn

dblp:412/9348 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0007-0055-7297ORCID · reported

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

Software engineering, systems software and programming languages · 1 · 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
1 paper
Programming languages and type systems · 100%
Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems
language semantics
0.912025
React-tRace: A Semantics for Understanding React Hooks: An Operational Semantics and a Visualizer for Clarifying React Hooks · Proc. ACM Program. Lang. 2025
Programming languages and type systems › language semantics › formal semantics
operational semantics
0.912025
React-tRace: A Semantics for Understanding React Hooks: An Operational Semantics and a Visualizer for Clarifying React Hooks · Proc. ACM Program. Lang. 2025

Methods — techniques the papers use, named apart from their topics

visualization · 1.7definitional interpreter · 1.7
YearPublicationVenuePosition
2025 React-tRace: A Semantics for Understanding React Hooks: An Operational Semantics and a Visualizer for Clarifying React Hooks
abstract
React has become the most widely used web front-end framework, enabling the creation of user interfaces in a declarative and compositional manner. Hooks are a set of APIs that manage side effects in function components in React. However, their semantics are often seen as opaque to developers, leading to UI bugs. We introduce React-tRace , a formalization of the semantics of the essence of React Hooks, providing a semantics that clarifies their behavior. We demonstrate that our model captures the behavior of React, by theoretically showing that it embodies essential properties of Hooks and empirically comparing our React-tRace -definitional interpreter against a test suite. Furthermore, we showcase a practical visualization tool based on the formalization to demonstrate how developers can better understand the semantics of Hooks.
Joongwon Ahn, Kwangkeun Yi
Proc. ACM Program. Lang.2