Demo Data from EDBT 2026 / reviewers in the wild / expert
Jan Eberhardt
dblp:140/8683
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 analysis · 87% Software maintenance and evolution · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program analysis
specification mining |
0.4 | 1 | 2019 | Unsupervised learning of API aliasing specifications · PLDI 2019 |
Program analysis
static analysis |
0.4 | 1 | 2019 | Unsupervised learning of API aliasing specifications · PLDI 2019 |
Software maintenance and evolution
software libraries |
0.1 | 1 | 2019 | Unsupervised learning of API aliasing specifications · PLDI 2019 |
Methods — techniques the papers use, named apart from their topics
unsupervised learning · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Unsupervised learning of API aliasing specificationsabstractReal world applications make heavy use of powerful libraries and frameworks, posing a significant challenge for static analysis as the library implementation may be very complex or unavailable. Thus, obtaining specifications that summarize the behaviors of the library is important as it enables static analyzers to precisely track the effects of APIs on the client program, without requiring the actual API implementation. Jan Eberhardt, Samuel Steffen, Veselin Raychev, Martin T. Vechev |
PLDI | 1 |