VLDB 2026 Research / reviewers in the wild / expert
Kai Werk
dblp:393/9530
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved
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 |
Debugging and program repair · 77% Software testing · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Debugging and program repair
automated program repair |
0.8 | 1 | 2024 | FixKit: A Program Repair Collection for Python · ASE 2024 |
Software testing
test suite |
0.2 | 1 | 2024 | FixKit: A Program Repair Collection for Python · ASE 2024 |
Methods — techniques the papers use, named apart from their topics
patch generation · 0.8fault localization · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | FixKit: A Program Repair Collection for PythonabstractIn recent years, automatic program repair has gained much attention in the research community. Generally, program repair approaches consider a faulty program and a test suite that captures the program's intended behavior. The goal is automatically generating a patch that corrects the fault by identifying the faulty code locations, suggesting a candidate fix, and validating it against the provided tests. However, most existing program repair tools focus on Java or C programs, while Python, one of the most popular programming languages, lacks approaches that work on it. Marius Smytzek, Martin Eberlein, Kai Werk, Lars Grunske, Andreas Zeller |
ASE | 3 |