Demo Data from VLDB 2026 / reviewers in the wild / expert
John Leo
dblp:04/2426
· DBLP profile ↗
4ranked-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 2021Theory of computation · 2Systems, architecture and hardware · 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 |
Program verification · 50% Programming languages and type systems · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Interconnection networks and networks-on-chip · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program verification › proof assistants
proof repair |
0.5 | 1 | 2021 | Proof repair across type equivalences · PLDI 2021 |
Programming languages and type systems › type checking
type equivalence |
0.5 | 1 | 2021 | Proof repair across type equivalences · PLDI 2021 |
Methods — techniques the papers use, named apart from their topics
proof term transformation · 0.5decompilation to tactic scripts · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Proof repair across type equivalencesabstractWe describe a new approach to automatically repairing broken proofs in the Coq proof assistant in response to changes in types. Our approach combines a configurable proof term transformation with a decompiler from proof terms to suggested tactic scripts. The proof term transformation implements transport across equivalences in a way that removes references to the old version of the changed type and does not rely on axioms beyond those Coq assumes. Talia Ringer, RanDair Porter, Nathaniel Yazdani, John Leo, Dan Grossman |
PLDI | 4 |
| 2019 | Ornaments for Proof Reuse in CoqabstractOrnaments express relations between inductive types with the same inductive structure. We implement fully automatic proof reuse for a particular class of ornaments in a Coq plugin, and show how such a tool can give programmers the rewards of using indexed inductive types while automating away many of the costs. The plugin works directly on Coq code; it is the first ornamentation tool for a non-embedded dependently typed language. It is also the first tool to automatically identify ornaments: To lift a function or proof, the user must provide only the source type, the destination type, and the source function or proof. In taking advantage of the mathematical properties of ornaments, our approach produces faster functions and smaller terms than a more general approach to proof reuse in Coq. Talia Ringer, Nathaniel Yazdani, John Leo, Dan Grossman |
ITP | 3 |
| 2018 | Adapting proof automation to adapt proofsabstractWe extend proof automation in an interactive theorem prover to analyze changes in specifications and proofs. Our approach leverages the history of changes to specifications and proofs to search for a patch that can be applied to other specifications and proofs that need to change in analogous ways. Talia Ringer, Nathaniel Yazdani, John Leo, Dan Grossman |
CPP | 3 |
| 1992 | IPDA: Interconnect Performance Design Assistant
Norman H. Chang, Keh-Jeng Chang, John Leo, Ken Lee, Soo-Young Oh |
DAC | 3 |