Demo Data from EDBT 2026 / reviewers in the wild / expert
Vaché Shirikian
dblp:321/3256
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
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 · 77% Software maintenance and evolution · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
regression testing |
0.6 | 1 | 2022 | Rapid Regression Detection in Software Deployments through Sequential Testing · KDD 2022 |
Software maintenance and evolution › release engineering
continuous deployment |
0.2 | 1 | 2022 | Rapid Regression Detection in Software Deployments through Sequential Testing · KDD 2022 |
Methods — techniques the papers use, named apart from their topics
sequential hypothesis testing · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Rapid Regression Detection in Software Deployments through Sequential TestingabstractThe practice of continuous deployment has enabled companies to reduce time-to-market by increasing the rate at which software can be deployed. However, deploying more frequently bears the risk that occasionally defective changes are released. For Internet companies, this has the potential to degrade the user experience and increase user abandonment. Therefore, quality control gates are an important component of the software delivery process. These are used to build confidence in the reliability of a release or change. Towards this end, a common approach is to perform a canary test to evaluate new software under production workloads. Detecting defects as early as possible is necessary to reduce exposure and to provide immediate feedback to the developer. Michael Lindon, Chris Sanden, Vaché Shirikian |
KDD | 3 |