Demo Data from EDBT 2026 / reviewers in the wild / expert
Sebastiaan Oosterwaal
dblp:190/1172
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 |
Software testing · 56% Software maintenance and evolution · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing › test coverage
code coverage |
0.2 | 1 | 2016 | Visualizing code and coverage changes for code review · SIGSOFT FSE 2016 |
Software maintenance and evolution
code review |
0.2 | 1 | 2016 | Visualizing code and coverage changes for code review · SIGSOFT FSE 2016 |
Software testing
regression testing |
0.1 | 1 | 2016 | Visualizing code and coverage changes for code review · SIGSOFT FSE 2016 |
Methods — techniques the papers use, named apart from their topics
source code differencing · 0.2coverage analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Visualizing code and coverage changes for code reviewabstractOne of the tasks of reviewers is to verify that code modifications are well tested. However, current tools offer little support in understanding precisely how changes to the code relate to changes to the tests. In particular, it is hard to see whether (modified) test code covers the changed code. To mitigate this problem, we developed Operias, a tool that provides a combined visualization of fine-grained source code differences and coverage impact. Operias works both as a stand-alone tool on specific project versions and as a service hooked to GitHub. In the latter case, it provides automated reports for each new pull request, which reviewers can use to assess the code contribution. Operias works for any Java project that works with maven and its standard Cobertura coverage plugin. We present how Operias could be used to identify test-related problems in real-world pull requests. Operias is open source and available on GitHub with a demo video: https://github.com/SERG-Delft/operias Sebastiaan Oosterwaal, Arie van Deursen, Roberta Coelho, Anand Ashok Sawant, Alberto Bacchelli |
SIGSOFT FSE | 1 |