EDBT 2026 Demo / reviewers in the wild / expert
Davide Devescovi
dblp:26/2227
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2007
—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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Requirements engineering and software design · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Requirements engineering and software design › software architecture
self-adaptive systems |
0.1 | 1 | 2007 | An infrastructure for autonomic system development: the selflet approach · ASE 2007 |
Distributed systems › self-adaptive systems
autonomic computing |
0.1 | 1 | 2007 | An infrastructure for autonomic system development: the selflet approach · ASE 2007 |
Distributed systems › self-adaptive systems › autonomic computing
self-managing systems |
0.1 | 1 | 2007 | An infrastructure for autonomic system development: the selflet approach · ASE 2007 |
Methods — techniques the papers use, named apart from their topics
policy-based self-management · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | An infrastructure for autonomic system development: the selflet approachabstractAutonomic computing is an emergent field for the development of large-scale, self-managing, complex distributed computer-based systems. This paper aims to be a practical approach to Autonomic Computing, by defining and implementing a generic model for autonomic systems, allowing software developers to create autonomic applications using a common and comprehensive infrastructure. In particular, this paper defines a simple but complete model andarchitecture of an autonomic computing element called SelfLet, which could be the building components used to create autonomic systems. SelfLets can be defined by specifying their behaviour, the abilities and goals they need to use and/or provide, and a high-level policy guiding their self-management. Davide Devescovi, Elisabetta Di Nitto, Raffaela Mirandola |
ASE | 1 |