Demo Data from EDBT 2026 / reviewers in the wild / expert
Christian Holler
dblp:30/2932
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 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
2 papers |
Software testing · 71% Empirical software engineering · 18% Programming languages and type systems · 11% | |
| Network and information security
1 paper |
Systems and software security · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
fuzzing |
0.1 | 1 | 2012 | Fuzzing with Code Fragments · USENIX Security Symposium 2012 |
Software testing › fuzzing
grammar-based fuzzing |
0.1 | 1 | 2012 | Fuzzing with Code Fragments · USENIX Security Symposium 2012 |
Systems and software security
vulnerability discovery |
0.1 | 1 | 2007 | Predicting vulnerable software components · CCS 2007 |
Systems and software security › vulnerability prediction
vulnerable component prediction |
0.1 | 1 | 2007 | Predicting vulnerable software components · CCS 2007 |
Empirical software engineering
mining software repositories |
0.1 | 1 | 2007 | Predicting vulnerable software components · CCS 2007 |
Programming languages and type systems › language design
language syntax |
0.0 | 1 | 2012 | Fuzzing with Code Fragments · USENIX Security Symposium 2012 |
Methods — techniques the papers use, named apart from their topics
vulnerability database mining · 0.1version archive mining · 0.1fuzzing · 0.1code fragments · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Fuzzing with Code Fragments
Christian Holler, Kim Herzig, Andreas Zeller |
USENIX Security Symposium | 1 |
| 2007 | Predicting vulnerable software componentsabstractWhere do most vulnerabilities occur in software? Our Vulture tool automatically mines existing vulnerability databases and version archives to map past vulnerabilities to components. The resulting ranking of the most vulnerable components is a perfect base for further investigations on what makes components vulnerable. Stephan Neuhaus, Thomas Zimmermann 0001, Christian Holler, Andreas Zeller |
CCS | 3 |