Demo Data from EDBT 2026 / reviewers in the wild / expert
Renata Vaderna
dblp:169/4852
· DBLP profile ↗
4ranked-venue papers
2as first author
1since 2021 · last 2026
0000-0001-8482-061XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 first-authorSecurity and privacy · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.
| Network and information security
1 paper |
Systems and software security · 77% Privacy and data protection · 23% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › data security
document security |
1.0 | 1 | 2026 | Enhancing Legal Document Security and Accessibility with TAF · NDSS 2026 |
Methods — techniques the papers use, named apart from their topics
cryptographic techniques · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Enhancing Legal Document Security and Accessibility with TAF
Renata Vaderna, Dusan Nikolic, Patrick Zielinski, David Greisen, BJ Ard, Justin Cappos |
NDSS | 1 |
| 2017 | TextX: A Python tool for Domain-Specific Languages implementation
Igor Dejanovic, Renata Vaderna, Gordana Milosavljevic, Zeljko Vukovic |
Knowl. Based Syst. | 2 |
| 2016 | GRAD: A New Graph Drawing and Analysis LibraryabstractSeveral important choices need to be made during the development of domain-specific languages, including the one regarding which concrete syntax to implement.There are several alternatives, with graphical and textual syntaxes being the most common ones.Having in mind that the developers and domain experts often have different preferences, supporting both is sometimes the best option.This means that models created using textual editors might need to be opened using separately developed graphical editors.Graphical elements corresponding to model elements must then be automatically created and positioned.Doing so in an aesthetically pleasing way requires usage of graph layout algorithms.Since implementing them is not an easy task, most developers have to rely on existing solutions.There are many Java libraries which have such capabilities, but they all have certain limitations and room for improvement, some of which are addressed in a new graph drawing and analysis library presented in this paper.• offer a large number of different graph drawing algorithms, including some that haven't been implemented in Java yet• provide a very quick and easy way to lay out elements of any existing graphical editor• offer algorithms for graph analysis, which can later be used to automatically select a suitable layout algorithm• enable the users to specify aesthetic criteria and automatically choose an appropriate layout algorithm based on their wishes Renata Vaderna, Igor Dejanovic, Gordana Milosavljevic |
FedCSIS | 1 |
| 2016 | Arpeggio: A flexible PEG parser for Python
Igor Dejanovic, Gordana Milosavljevic, Renata Vaderna |
Knowl. Based Syst. | 3 |