EDBT 2026 Demo / reviewers in the wild / expert
Dennis Dimov
dblp:299/1852
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
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.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| Theoretical computer science
1 paper |
Automated reasoning and model checking · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
visual analytics |
0.6 | 1 | 2022 | Visual Analysis of Hyperproperties for Understanding Model Checking Results · IEEE Trans. Vis. Comput. Graph. 2022 |
Automated reasoning and model checking › model checking
hyperproperty model checking |
0.2 | 1 | 2022 | Visual Analysis of Hyperproperties for Understanding Model Checking Results · IEEE Trans. Vis. Comput. Graph. 2022 |
Methods — techniques the papers use, named apart from their topics
cross-view highlighting · 1.1causal analysis · 1.1case study · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Visual Analysis of Hyperproperties for Understanding Model Checking ResultsabstractModel checkers provide algorithms for proving that a mathematical model of a system satisfies a given specification. In case of a violation, a counterexample that shows the erroneous behavior is returned. Understanding these counterexamples is challenging, especially for hyperproperty specifications, i.e., specifications that relate multiple executions of a system to each other. We aim to facilitate the visual analysis of such counterexamples through our HyperVis tool, which provides interactive visualizations of the given model, specification, and counterexample. Within an iterative and interdisciplinary design process, we developed visualization solutions that can effectively communicate the core aspects of the model checking result. Specifically, we introduce graphical representations of binary values for improving pattern recognition, color encoding for better indicating related aspects, visually enhanced textual descriptions, as well as extensive cross-view highlighting mechanisms. Further, through an underlying causal analysis of the counterexample, we are also able to identify values that contributed to the violation and use this knowledge for both improved encoding and highlighting. Finally, the analyst can modify both the specification of the hyperproperty and the system directly within HyperVis and initiate the model checking of the new version. In combination, these features notably support the analyst in understanding the error leading to the counterexample as well as iterating the provided system and specification. We ran multiple case studies with HyperVis and tested it with domain experts in qualitative feedback sessions. The participants' positive feedback confirms the considerable improvement over the manual, text-based status quo and the value of the tool for explaining hyperproperties. Tom Horak, Norine Coenen, Niklas Metzger 0001, Christopher Hahn, Tamara Flemisch, Julián Méndez 0001, Dennis Dimov, Bernd Finkbeiner, Raimund Dachselt |
IEEE Trans. Vis. Comput. Graph. | 7 |