VLDB 2026 Research / reviewers in the wild / expert
Ron Shemer
dblp:241/5907
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2023
—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 2021Theory 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 · 100% | |
| Theoretical computer science
1 paper |
Automated reasoning and model checking · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program verification
self-composition |
0.4 | 1 | 2019 | Property Directed Self Composition · CAV (1) 2019 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Automated Property Directed Self Composition
Akshatha Shenoy 0001, Sumanth Prabhu S, Kumar Madhukar, Ron Shemer, Mandayam K. Srivas |
ATVA | 4 |
| 2019 | Property Directed Self CompositionabstractWe address the problem of verifying k -safety properties : properties that refer to k interacting executions of a program. A prominent way to verify k -safety properties is by self composition . In this approach, the problem of checking k -safety over the original program is reduced to checking an “ordinary” safety property over a program that executes k copies of the original program in some order. The way in which the copies are composed determines how complicated it is to verify the composed program. We view this composition as provided by a semantic self composition function that maps each state of the composed program to the copies that make a move. Since the “quality” of a self composition function is measured by the ability to verify the safety of the composed program, we formulate the problem of inferring a self composition function together with the inductive invariant needed to verify safety of the composed program, where both are restricted to a given language. We develop a property-directed inference algorithm that, given a set of predicates, infers composition-invariant pairs expressed by Boolean combinations of the given predicates, or determines that no such pair exists. We implemented our algorithm and demonstrate that it is able to find self compositions that are beyond reach of existing tools. Ron Shemer, Arie Gurfinkel, Sharon Shoham, Yakir Vizel |
CAV (1) | 1 |