Demo Data from VLDB 2026 / reviewers in the wild / expert
Bartosz Zator
dblp:337/1064
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0001-9348-5948ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 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.
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
fuzzing |
0.6 | 1 | 2022 | Auto Off-Target: Enabling Thorough and Scalable Testing for Complex Software Systems · ASE 2022 |
Embedded and real-time systems › embedded software
firmware testing |
0.2 | 1 | 2022 | Auto Off-Target: Enabling Thorough and Scalable Testing for Complex Software Systems · ASE 2022 |
Methods — techniques the papers use, named apart from their topics
scalable testing · 1.1fuzzing · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Auto Off-Target: Enabling Thorough and Scalable Testing for Complex Software SystemsabstractSoftware systems powering OS kernels, basebands, bootloaders, firmware, IoT or automotive build the foundation of infrastructure that billions of people rely on every day. Testing these systems is crucial, especially as their complexity grows and they are often written in unsafe languages such as C/C++. Tomasz Kuchta, Bartosz Zator |
ASE | 2 |