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Aron Ricardo Perez-Lopez

dblp:425/3202 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0003-3018-7438ORCID · reported

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

Software engineering, systems software and programming languages · 2 · 1 first-author · 2 since 2021Theory of computation · 2 · 1 first-author · 2 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.

Theoretical computer science
1 paper
Automated reasoning and model checking · 100%

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

TopicWeightPapersLastEvidence papers
Automated reasoning and model checking › temporal logic verification
liveness verification
1.012026
Pono 2.0: A Versatile SMT-Based Model Checker for Safety and Liveness (Long Tool Paper) · FM (2) 2026
Automated reasoning and model checking › model checking › symbolic model checking
SMT-based model checking
1.012026
Pono 2.0: A Versatile SMT-Based Model Checker for Safety and Liveness (Long Tool Paper) · FM (2) 2026
Automated reasoning and model checking
model checking
0.312026
Pono 2.0: A Versatile SMT-Based Model Checker for Safety and Liveness (Long Tool Paper) · FM (2) 2026

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

interpolation · 1.0SMT solving · 1.0
YearPublicationVenuePosition
2026 Pono 2.0: A Versatile SMT-Based Model Checker for Safety and Liveness (Long Tool Paper)
abstract
Abstract We introduce an updated version of the Pono model checker. Pono is a versatile SMT-based model checker that integrates multiple verification algorithms and interfaces with a wide range of SMT solvers through a solver-agnostic back end. It emphasizes usability, offering support for commonly used input formats and providing C++ and Python APIs for programmatic access. The new version 2.0 introduces several important new features, including support for liveness properties, new interpolation-based safety-checking engines, a new VMT-LIB front end, and a number of usability and performance enhancements. An evaluation of the new version demonstrates significant improvements in performance over its previous version and comparable performance to other state-of-the-art model checkers. These results highlight Pono 2.0’s effectiveness as a general-purpose and easily extensible verification platform.
Aron Ricardo Perez-Lopez, Po-Chun Chien, Florian Lonsing, Samantha Archer, Ahmed Irfan, Clark W. Barrett
FM (2)1
2025 Automated Translation Validation of a Compiler for Statically Scheduled Accelerators
Jackson Melchert, Caleb Terrill, Aron Ricardo Perez-Lopez, Clark W. Barrett, Priyanka Raina
FMCAD3