Demo Data from EDBT 2026 / reviewers in the wild / expert
Sebastian Vöst
dblp:167/7869
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—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 maintenance and evolution · 77% Software testing · 23% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › release engineering
continuous integration |
0.2 | 1 | 2015 | Vehicle level continuous integration in the automotive industry · ESEC/SIGSOFT FSE 2015 |
Software testing › test optimization
test case selection |
0.1 | 1 | 2015 | Vehicle level continuous integration in the automotive industry · ESEC/SIGSOFT FSE 2015 |
Embedded and real-time systems
automotive embedded systems |
0.1 | 1 | 2015 | Vehicle level continuous integration in the automotive industry · ESEC/SIGSOFT FSE 2015 |
Methods — techniques the papers use, named apart from their topics
test case specification · 0.4system-level testing · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Vehicle level continuous integration in the automotive industryabstractEmbedded systems are omnipresent in the modern world. This naturally includes the automobile industry, where electronic functions are becoming prevalent. In the automotive domain, embedded systems today are highly distributed systems and manufactured in great numbers and variance. To ensure correct functionality, systematic integration and testing on the system level is key. In software engineering, continuous integration has been used with great success. In the automotive industry though, system tests are still performed in a big-bang integration style, which makes tracing and fixing errors very expensive and time-consuming. Thus, I want to investigate whether and how continuous integration can be applied to the automotive industry on the system level. Doing so, I present an adapted process of Continuous Integration including methods for test case specification and selection. I will apply this process as a pilot project in a production environment at BMW and evaluate the effectiveness by gathering both qualitative and quantitative data. From the gained experience, I will derive possible improvements to the process for future implementations and requirements on test hardware used for Continuous Integration. Sebastian Vöst |
ESEC/SIGSOFT FSE | 1 |