Demo Data from EDBT 2026 / reviewers in the wild / expert
Josiah Dodds
dblp:99/11109
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program synthesis and code generation
code generation with language models |
0.9 | 1 | 2025 | VERT: Polyglot Verified Equivalent Rust Transpilation with Large Language Models · ASE 2025 |
Program verification
equivalence checking |
0.9 | 1 | 2025 | VERT: Polyglot Verified Equivalent Rust Transpilation with Large Language Models · ASE 2025 |
Program verification
model checking |
0.9 | 1 | 2025 | VERT: Polyglot Verified Equivalent Rust Transpilation with Large Language Models · ASE 2025 |
Programming languages and type systems
rust |
0.3 | 1 | 2025 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | VERT: Polyglot Verified Equivalent Rust Transpilation with Large Language ModelsabstractRust 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 |
ASE | 4 |
| 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 |
CPP | 1 |