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Josiah Dodds

dblp:99/11109 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

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

Software engineering, systems software and programming languages · 2 · 1 first-author · 1 since 2021Artificial intelligence and machine learning · 1Theory of computation · 1 · 1 first-author

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
Program verification · 61% Program synthesis and code generation · 30% Programming languages and type systems · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program synthesis and code generation
code generation with language models
0.912025
VERT: Polyglot Verified Equivalent Rust Transpilation with Large Language Models · ASE 2025
Program verification
equivalence checking
0.912025
VERT: Polyglot Verified Equivalent Rust Transpilation with Large Language Models · ASE 2025
Program verification
model checking
0.912025
VERT: Polyglot Verified Equivalent Rust Transpilation with Large Language Models · ASE 2025
Programming languages and type systems
rust
0.312025
VERT: Polyglot Verified Equivalent Rust Transpilation with Large Language Models · ASE 2025

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

webassembly · 0.9model checking · 0.9large language model · 0.9
YearPublicationVenuePosition
2025 VERT: Polyglot Verified Equivalent Rust Transpilation with Large Language Models
abstract
Rust is a programming language that combines memory safety and low-level control, providing C-like performance while guaranteeing the absence of undefined behaviors by default. Rust’s growing popularity has prompted research on correct and idiomatic transpiling of existing code-bases to Rust. Existing work falls into two categories: rule-based and large language model (LLM)-based. While rule-based approaches are theoretically sound, they often yield unidiomatic and unsafe Rust code, and are limited to few source languages, which hinders maintainability and industrial application. By contrast, LLM-based approaches, while providing no guarantees, are polyglot and typically produce more idiomatic and safe Rust code. In this work, we present VERT, a formally correct, polyglot Rust translator with more idiomatic outputs. VERT supports any language that compiles to Web Assembly. Using the Web Assembly compiler, VERT obtains an oracle Rust program. Leveraging the LLM, VERT generates an idiomatic candidate Rust program. This candidate is verified against the oracle with model-checking to ensure equivalence.
Aidan Z. H. Yang, Yoshiki Takashima, Brandon Paulsen, Josiah Dodds, Daniel Kroening
ASE4
2018 VST-Floyd: A Separation Logic Tool to Verify Correctness of C Programs
Qinxiang Cao, Lennart Beringer, Samuel Gruetter, Josiah Dodds, Andrew W. Appel
J. Autom. Reason.4
2013 Mostly Sound Type System Improves a Foundational Program Verifier
Josiah Dodds, Andrew W. Appel
CPP1