EDBT 2026 Demo / reviewers in the wild / expert
Michael Becker 0001
dblp:26/2673-1
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2017
0000-0002-7983-6382ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 1 first-authorArtificial intelligence and machine learning · 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 |
Requirements engineering and software design · 33% Software maintenance and evolution · 33% Empirical software engineering · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
mining software repositories |
0.1 | 1 | 2010 | Automated model grouping · ASE 2010 |
Requirements engineering and software design
model-driven engineering |
0.1 | 1 | 2010 | Automated model grouping · ASE 2010 |
Software maintenance and evolution › software ecosystems
model reuse |
0.1 | 1 | 2010 | Automated model grouping · ASE 2010 |
Methods — techniques the papers use, named apart from their topics
natural language processing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Designing an Open Architecture for the Creative Industry
Christian Zinke-Wehlmann, Michael Becker 0001, Stephan Klingner |
PRO-VE | 2 |
| 2011 | Configuring services regarding service environment and productivity indicators
Michael Becker 0001, Stephan Klingner, Martin Böttcher 0002 |
FedCSIS | 1 |
| 2010 | Automated model groupingabstractA tremendous amount of software models has been created so far. This growing number of models adds to the fact that it gets more and more difficult to organise, structure, and reuse them. Thereby new software development projects cannot profit from existing knowledge. In our research we will study existing natural language processing techniques for their adaptability in the reuse of software models. We will research methods to group existing models according to their functionality. Michael Becker 0001, Volker Gruhn |
ASE | 1 |