Demo Data from VLDB 2026 / reviewers in the wild / expert
Dirk Bucka-Lassen
dblp:46/4625
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2001
—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 |
Requirements engineering and software design · 50% Empirical software engineering · 50% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering › developer studies › cognitive processes
model comprehension |
0.0 | 1 | 2001 | The Architecture of a UML Virtual Machine · OOPSLA 2001 |
Requirements engineering and software design
model-driven engineering |
0.0 | 1 | 2001 | The Architecture of a UML Virtual Machine · OOPSLA 2001 |
Methods — techniques the papers use, named apart from their topics
model interpretation · 0.0metalevel architecture · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | The Architecture of a UML Virtual MachineabstractCurrent software development tools let developers model a software system and generate program code from the models to run the system. However, generating code and installing a non-trivial system induces a time delay between changing the model and executing it that makes rapid model prototyping awkard if not impossible. This paper presents the architecture of a virtual machine for UML that interprets UML models without any intermediate code-generation step. The paper shows how to embed UML in a metalevel architecture so that a key property of model-based systems, the casual connection between models and model instances, is guaranteed. With this architecture, changes to a model have immediate effects on its execution, providing users with rapid feedback about the model's structure and behavior. This approach supports model innovation better than today's code-generation approaches. Dirk Riehle, Steven Fraleigh, Dirk Bucka-Lassen, Nosa Omorogbe |
OOPSLA | 3 |