Demo Data from VLDB 2026 / reviewers in the wild / expert
Andre V. Marianiello
dblp:169/1726
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, 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 |
Concurrent programming · 67% Program verification · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Concurrent programming
concurrency models |
0.2 | 1 | 2015 | CIVL: the concurrency intermediate verification language · SC 2015 |
Concurrent programming
concurrency verification |
0.2 | 1 | 2015 | CIVL: the concurrency intermediate verification language · SC 2015 |
Program verification › deductive verification
intermediate verification language |
0.2 | 1 | 2015 | CIVL: the concurrency intermediate verification language · SC 2015 |
Parallel and multicore computing
parallel programming models |
0.1 | 1 | 2015 | CIVL: the concurrency intermediate verification language · SC 2015 |
Methods — techniques the papers use, named apart from their topics
intermediate verification language · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | CIVL: the concurrency intermediate verification languageabstractThere are many ways to express parallel programs: message-passing libraries (MPI) and multithreading/GPU language extensions such as OpenMP, Pthreads, and CUDA, are but a few. This multitude creates a serious challenge for developers of software verification tools: it takes enormous effort to develop such tools, but each development effort typically targets one small part of the concurrency landscape, with little sharing of techniques and code among efforts. Stephen F. Siegel, Manchun Zheng, Ziqing Luo, Timothy K. Zirkel, Andre V. Marianiello, John G. Edenhofner, Matthew B. Dwyer, Michael S. Rogers |
SC | 5 |