Demo Data from VLDB 2026 / reviewers in the wild / expert
Sébastien Worms
dblp:93/3360
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
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 |
Empirical software engineering · 50% Software testing · 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 › mining software repositories
bug repositories |
0.1 | 1 | 2008 | AFID: an automated fault identification tool · ISSTA 2008 |
Software testing
test generation |
0.1 | 1 | 2008 | AFID: an automated fault identification tool · ISSTA 2008 |
Methods — techniques the papers use, named apart from their topics
automated fault identification · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | AFID: an automated fault identification toolabstractWe present the Automatic Fault IDentification Tool (AFID). AFID automatically constructs repositories of real software faults by monitoring the software development process. AFID records both a fault revealing test case and a faulty version of the source code for any crashing faults that the developer discovers and a fault correcting source code change for any crashing faults that the developer corrects. The test cases are a significant contribution, because they enable new research that explores the dynamic behaviors of the software faults. Alex Edwards, Sean Tucker, Sébastien Worms, Rahul Vaidya, Brian Demsky |
ISSTA | 3 |