Demo Data from VLDB 2026 / reviewers in the wild / expert
Thomas Juan
dblp:22/5124
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—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.
| Software engineering, system software, and programming languages
1 paper |
Requirements engineering and software design · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Requirements engineering and software design › software architecture
agent-oriented software engineering |
0.1 | 1 | 2005 | The software engineering of agent-based intelligent adaptive systems · ICSE 2005 |
Requirements engineering and software design
software architecture |
0.1 | 1 | 2005 | The software engineering of agent-based intelligent adaptive systems · ICSE 2005 |
Requirements engineering and software design › software architecture
self-adaptive systems |
0.0 | 1 | 2005 | The software engineering of agent-based intelligent adaptive systems · ICSE 2005 |
Methods — techniques the papers use, named apart from their topics
formal verification · 0.1agent-oriented modeling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | The software engineering of agent-based intelligent adaptive systemsabstractFuture software systems will be intelligent and adaptive. They will have the ability to seamlessly integrate with smart applications that have not been explicitly designed to work together. Traditional software engineering approaches offer limited support for the development of intelligent systems. To handle the tremendous complexity and the new engineering challenges presented by intelligence, adaptiveness and seamless integration, developers need higher-level development constructs. Agent concepts are natural to describe intelligent adaptive systems. Agent-based technologies have been incorporating software engineering practices, and have matured to offer useful insights and concrete practices to mainstream software engineers.This tutorial presents the state of the art in agent development from a software engineering perspective, focusing on practices that are applicable today. We will walk the audience through analysis, design and verification of a portion of a real-world problem: a Smart Home Network. We show how agent concepts more naturally match the engineering challenges of such systems like trust between adaptive components. The audience will have hands-on experience with analyzing and designing parts of the Smart Home Network and learn how to incorporate agent technologies into their current projects. Leon Sterling, Thomas Juan |
ICSE | 2 |