Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sándor Kopácsi
dblp:49/166
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 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 |
Software maintenance and evolution · 50% Requirements engineering and software design · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Requirements engineering and software design › object-oriented analysis and design
object-oriented design |
0.0 | 1 | 1997 | Simulation of FMS with application of reuse and object-oriented technology · ICRA 1997 |
Software maintenance and evolution
software reuse |
0.0 | 1 | 1997 | Simulation of FMS with application of reuse and object-oriented technology · ICRA 1997 |
Methods — techniques the papers use, named apart from their topics
object-oriented design · 0.0hybrid simulation · 0.0expert system · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Ambient Intelligence in Product Life-cycle Management
George L. Kovács, Sándor Kopácsi, Géza Haidegger, Rinaldo C. Michelini |
Eng. Appl. Artif. Intell. | 2 |
| 1997 | Simulation of FMS with application of reuse and object-oriented technologyabstractObject-oriented design and the reuse of FMS components in new applications using a hybrid simulation and scheduling system are introduced. The goal of this research is to provide methods and tools to build up FMS simulation models easily, fast and reliably. This system has been implemented as a combination of a traditional simulation language (SIMAN/Cinema) and an intelligent expert environment (G2). Reuse in SIMAN/Cinema and in G2 are analyzed separately and together in general, and in the context of FMS to get acceptable solutions, to build up new simulation models based on previous, different simulation models. The design methodology used for model development is based on the object-oriented Rational Rose CASE tool and on use-case design of the OOSE methodology. George L. Kovács, Sándor Kopácsi, Ildikó Kmecs |
ICRA | 2 |