EDBT 2026 Demo / reviewers in the wild / expert
Stefan Bellon
dblp:80/2555
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2007
—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 |
Software maintenance and evolution · 81% Empirical software engineering · 19% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › code clone management
code clone analysis |
0.0 | 1 | 2007 | Comparison and Evaluation of Clone Detection Tools · IEEE Trans. Software Eng. 2007 |
Empirical software engineering
mining software repositories |
0.0 | 1 | 2007 | Comparison and Evaluation of Clone Detection Tools · IEEE Trans. Software Eng. 2007 |
Methods — techniques the papers use, named apart from their topics
program dependency graph analysis · 0.1precision and recall evaluation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Comparison and Evaluation of Clone Detection ToolsabstractMany techniques for detecting duplicated source code (software clones) have been proposed in the past. However, it is not yet clear how these techniques compare in terms of recall and precision as well as space and time requirements. This paper presents an experiment that evaluates six clone detectors based on eight large C and Java programs (altogether almost 850 KLOC). Their clone candidates were evaluated by one of the authors as independent third party. The selected techniques cover the whole spectrum of the state-of-the-art in clone detection. The techniques work on text, lexical and syntactic information, software metrics, and program dependency graphs. Stefan Bellon, Rainer Koschke, Giuliano Antoniol, Jens Krinke, Ettore Merlo |
IEEE Trans. Software Eng. | 1 |