Demo Data from EDBT 2026 / reviewers in the wild / expert
Bernhard Taufner
dblp:284/3465
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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.
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › computer-supported cooperative work › developer collaboration
collaborative programming |
0.9 | 1 | 2025 | From Characters to Structure: Rethinking Real-Time Collaborative Programming Models · ASE 2025 |
Methods — techniques the papers use, named apart from their topics
structure-aware propagation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | From Characters to Structure: Rethinking Real-Time Collaborative Programming ModelsabstractMultiple programming tasks require synchronous collaboration between developers, giving rise to real-time collaborative programming tools that enable simultaneous editing of shared source code. However, most existing tools operate at the text level, propagating every keystroke–including syntactically invalid ones–without considering program structure. This results in excessive communication overhead, frequent propagation of build-breaking states, and poor synchronization. A major consequence is noticeable lag, especially under unstable network conditions, as collaborators are overwhelmed with unnecessary updates that disrupt their workflow and degrade the shared coding experience. In this paper, we introduce a novel structure-aware propagation model that transmits only syntactically valid code changes. For evaluation we implemented our tool as an IntelliJ plugin and evaluate it against three industry-standard tools–VS Code Live Share, Code With Me, and Replit–across eight representative programming scenarios. Our results show that it significantly lowers the number and size of propagated messages while maintaining consistent, buildable program states. Our findings demonstrate the potential of structure-aware propagation as a foundation for the next generation of real-time collaborative programming environments. Leon Freudenthaler, Bernhard Taufner, Karl M. Göschka |
ASE | 2 |