Demo Data from EDBT 2026 / reviewers in the wild / expert
Jochen Seemann
dblp:52/398
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-authorTheory of computation · 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 · 70% Program analysis · 30% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › reverse engineering
design recovery |
0.0 | 1 | 1998 | Pattern-Based Design Recovery of Java Software · SIGSOFT FSE 1998 |
Software maintenance and evolution
reverse engineering |
0.0 | 1 | 1998 | Pattern-Based Design Recovery of Java Software · SIGSOFT FSE 1998 |
Program analysis
source code analysis |
0.0 | 1 | 1998 | Pattern-Based Design Recovery of Java Software · SIGSOFT FSE 1998 |
Software maintenance and evolution › reverse engineering
design pattern detection |
0.0 | 1 | 1998 | Pattern-Based Design Recovery of Java Software · SIGSOFT FSE 1998 |
Methods — techniques the papers use, named apart from their topics
static analysis · 0.0graph grammar · 0.0compiler analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Evaluation of the Safety Shell Architecture for Automated Driving in a Realistic SimulatorabstractThe transition from advanced driver assistance systems to highly automated vehicles proves to be difficult, as the driver is no longer a safety fallback for the latter systems. One of the main challenges is formed by edge cases in the encountered driving scenarios that trigger functional insufficiencies in automated driving (AD) systems. Functional insufficiencies, for the sake of understanding, may be viewed as an inappropriate understanding of or response to a scenario in an AD system, which in turn causes dangerous vehicle behavior. Prior research suggests that using an architecture capable of including redundant heterogeneous AD systems as separate channels, such as the Safety Shell, can mitigate some of these functional insufficiencies. However, this benefit has only been evaluated in limited and deterministic simulation environments. To overcome this, our objectives in this paper are to (i) develop an experimental method for extensive testing of such architectures, and (ii) to assess the suitability of the Safety Shell architecture to handle edge cases with this new method. Using the developed experimental setup we observe a significant safety and availability increase of the Safety Shell compared to the included individual AD channels in the tested scenarios. Finally, our study provides insight into the requirements for the evaluated AD channels. C. A. J. Hanselaar, Yuting Fu, Andrei Sergeevich Terechko, Jochen Seemann, Tim Beurskens, Emilia Silvas, W. P. M. H. Heemels |
IV | 4 |
| 1998 | Pattern-Based Design Recovery of Java SoftwareabstractIn this paper we show how to recover design information from Java source code. We take a pattern-based approach and proceed in a step by step manner deriving several layers of increasing abstraction. A compiler collects information about inheritance hierarchies and method call relations. It also looks for particular source text patterns coming from naming conventions or programming guidelines.The result of the compile phase is a graph acting as the starting graph of a graph grammar that describes our design recovery process. We define criteria for the automatic detection of associations and aggregations between classes, as well as for some of the popular design patterns such as composite or strategy. Jochen Seemann, Jürgen Wolff von Gudenberg |
SIGSOFT FSE | 1 |
| 1997 | Extending the Sugiyama Algorithm for Drawing UML Class Diagrams: Towards Automatic Layout of Object-Oriented Software Diagrams
Jochen Seemann |
GD | 1 |