Demo Data from VLDB 2026 / reviewers in the wild / expert
Daniel Dickstein
dblp:375/7362
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0001-5706-6815ORCID · 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 · 50% Empirical software engineering · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
developer studies |
0.8 | 1 | 2024 | Property-Based Testing in Practice · ICSE 2024 |
Software testing › random testing
property-based testing |
0.8 | 1 | 2024 | Property-Based Testing in Practice · ICSE 2024 |
Methods — techniques the papers use, named apart from their topics
survey · 0.8interview study · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Property-Based Testing in PracticeabstractProperty-based testing (PBT) is a testing methodology where users write executable formal specifications of software components and an automated harness checks these specifications against many automatically generated inputs. From its roots in the QuickCheck library in Haskell, PBT has made significant inroads in mainstream languages and industrial practice at companies such as Amazon, Volvo, and Stripe. As PBT extends its reach, it is important to understand how developers are using it in practice, where they see its strengths and weaknesses, and what innovations are needed to make it more effective. Harrison Goldstein, Joseph W. Cutler, Daniel Dickstein, Benjamin C. Pierce, Andrew Head |
ICSE | 3 |