Demo Data from VLDB 2026 / reviewers in the wild / expert
Johanna Schneider
dblp:150/8947
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2014
0000-0003-0661-6984ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 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
2 papers |
Debugging and program repair · 77% Requirements engineering and software design · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Debugging and program repair
fault localization |
0.4 | 2 | 2014 | Determining the most probable root causes of run-time errors in simulink models · ASE 2014 Tracking down root causes of defects in simulink models · ASE 2014 |
Debugging and program repair
root cause analysis |
0.4 | 2 | 2014 | Determining the most probable root causes of run-time errors in simulink models · ASE 2014 Tracking down root causes of defects in simulink models · ASE 2014 |
Requirements engineering and software design
model-driven engineering |
0.1 | 2 | 2014 | Determining the most probable root causes of run-time errors in simulink models · ASE 2014 Tracking down root causes of defects in simulink models · ASE 2014 |
Requirements engineering and software design › model-driven engineering
simulink models |
0.1 | 2 | 2014 | Determining the most probable root causes of run-time errors in simulink models · ASE 2014 Tracking down root causes of defects in simulink models · ASE 2014 |
Methods — techniques the papers use, named apart from their topics
path weighting · 0.4backward search · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Tracking down root causes of defects in simulink modelsabstractBeing confronted with a defect in software leads to the well known task: correcting the software such that the defect does not occur anymore. Here, the location of the defect and the corresponding root cause do not have to be identical. Thus, before any correction can be done, the reviewer has to detect the root cause for the defect. In order to reduce the reviewing effort, this paper presents a method to automatically narrow down possible root causes for defects found in Simulink models. Starting at a defect location, a backward search is applied to detect all paths leading to that defect. Each path is weighted by previously determined weights depending on the block types contained in the respective path. This weighting correlates with the probability of a path containing the root cause. Johanna Schneider |
ASE | 1 |
| 2014 | Determining the most probable root causes of run-time errors in simulink modelsabstractBeing confronted with a defect in software leads to the well known task: correcting the software such that the defect does not occur anymore. Here, the location of the defect and the corresponding root cause do not have to be identical. Thus, before any correction can be done, the reviewer has to detect the root cause for the defect. In order to reduce the reviewing effort, this approach presents a method to automatically narrow down possible root causes for defects found in Simulink models. Starting at a defect location, a backward search is applied to detect all paths leading to that defect. Each path is weighted by previously determined weights depending on the block types contained in the respective path. This weighting correlates with the probability of a path containing the root cause. Johanna Schneider |
ASE | 1 |