VLDB 2026 Research / reviewers in the wild / expert

Benoît Ries

dblp:94/6420 · DBLP profile ↗
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4ranked-venue papers
3as first author
3since 2021 · last 2026
0000-0002-8680-2797ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 4 · 3 first-author · 3 since 2021
YearPublicationVenuePosition
2026 Towards Model Compliance Using Generative Agents: A NetLogo to Sequence Diagrams Experiment
Benoît Ries, Nicolas Guelfi
 MODELSWARD1
2026 A Semantically-Grounded Agentic Framework for Assisting BPMN Model Instance Execution
abstract
peer reviewed
Nicolas Guelfi, Benoît Ries
 MODELSWARD3
2021 An MDE Method for Improving Deep Learning Dataset Requirements Engineering using Alloy and UML
abstract
peer reviewed
Benoît Ries, Nicolas Guelfi, Benjamin Jahic
 MODELSWARD1
2018 Messir: a text-first DSL-based approach for UML requirements engineering (tool demo)
abstract
This tool paper presents the design and tool-support of Messir, an approach centered on textual domain-specific languages supported by our open-source UML requirements engineering tool, named Excalibur. The novelty of our approach is the actual integration in a single workbench (Excalibur) of textual DSLs richly covering the requirements and analysis phases, i.e. improved use-cases, environment, conceptual and operations models; and the read-only visualisation of the requirements with UML-compliant views; and the generation of scientific requirements analysis documents in LATEX; and the formal simulation of test cases requirements.
Benoît Ries, Alfredo Capozucca, Nicolas Guelfi
 SLE1