Demo Data from VLDB 2026 / reviewers in the wild / expert
Lukas Vogel 0002
dblp:183/6378-2
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
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 |
Empirical software engineering · 77% Software maintenance and evolution · 23% | |
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
User interface design and tools › programming environments
integrated development environment |
0.2 | 1 | 2016 | The IDE as a scriptable information system · ASE 2016 |
Empirical software engineering › developer studies › developer behavior
developer information needs |
0.2 | 1 | 2016 | The IDE as a scriptable information system · ASE 2016 |
Software maintenance and evolution
refactoring |
0.1 | 1 | 2016 | The IDE as a scriptable information system · ASE 2016 |
Methods — techniques the papers use, named apart from their topics
scripting · 0.5query mechanism · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | The IDE as a scriptable information systemabstractSoftware engineering is extremely information-intensive. Every day developers work with source code, version repositories, issue trackers, documentation, web-based and other information resources. However, three key aspects of information work lack good support: (i) combining information from different sources; (ii) flexibly presenting collected information to enable easier comprehension; and (iii) automatically acting on collected information, for example to perform a refactoring. Poor support for these activities makes many common development tasks time-consuming and error-prone. We propose an approach that directly addresses these three issues by integrating a flexible query mechanism into the development environment. Our approach enables diverse ways to process and visualize information and can be extended via scripts. We demonstrate how an implementation of the approach can be used to rapidly write queries that meet a wide range of information needs. Dimitar Asenov, Peter Müller 0001, Lukas Vogel 0002 |
ASE | 3 |