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Nathaniel Yazdani

dblp:200/5366 · DBLP profile ↗
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3ranked-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 · 2

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%

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

TopicWeightPapersLastEvidence papers
Program verification › proof assistants
proof repair
0.512021
Proof repair across type equivalences · PLDI 2021
Programming languages and type systems › type checking
type equivalence
0.512021
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
YearPublicationVenuePosition
2021 Proof repair across type equivalences
abstract
We 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
PLDI3
2019 Ornaments for Proof Reuse in Coq
abstract
Ornaments 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
ITP2
2018 Adapting proof automation to adapt proofs
abstract
We 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
CPP2