Demo Data from EDBT 2026 / reviewers in the wild / expert
Kevin Haverlock
dblp:241/5874
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
cloud service reliability |
0.4 | 1 | 2019 | Predicting breakdowns in cloud services (with SPIKE) · ESEC/SIGSOFT FSE 2019 |
Software testing
software reliability |
0.1 | 1 | 2019 | Predicting breakdowns in cloud services (with SPIKE) · ESEC/SIGSOFT FSE 2019 |
Methods — techniques the papers use, named apart from their topics
time series prediction · 0.8machine learning · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Predicting breakdowns in cloud services (with SPIKE)abstractMaintaining web-services is a mission-critical task where any down- time means loss of revenue and reputation (of being a reliable service provider). In the current competitive web services market, such a loss of reputation causes extensive loss of future revenue. Joymallya Chakraborty, Philip Clark, Kevin Haverlock, Snehit Cherian, Tim Menzies |
ESEC/SIGSOFT FSE | 4 |