Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas Lieber
dblp:119/4587
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous 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.
| Software engineering, system software, and programming languages
1 paper |
Debugging and program repair · 44% Program analysis · 44% Programming languages and type systems · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program analysis
dynamic analysis |
0.2 | 1 | 2014 | Addressing misconceptions about code with always-on programming visualizations · CHI 2014 |
Programming languages and type systems › dynamic languages
javascript |
0.1 | 1 | 2014 | Addressing misconceptions about code with always-on programming visualizations · CHI 2014 |
Methods — techniques the papers use, named apart from their topics
lab study · 0.2interview study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Addressing misconceptions about code with always-on programming visualizationsabstractWe present Theseus, an IDE extension that visualizes run-time behavior within a JavaScript code editor. By displaying real-time information about how code actually behaves during execution, Theseus proactively addresses misconceptions by drawing attention to similarities and differences between the programmer's idea of what code does and what it actually does. To understand how programmers would respond to this kind of an always-on visualization, we ran a lab study with graduate students, and interviewed 9 professional programmers who were asked to use Theseus in their day-to-day work. We found that users quickly adopted strategies that are unique to always-on, real-time visualizations, and used the additional information to guide their navigation through their code. Thomas Lieber, Joel Brandt, Rob Miller 0001 |
CHI | 1 |