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Isabelle Mounier

dblp:61/2924 · also Isabelle Vernier-Mounier · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Software engineering, systems software and programming languages · 2Databases, data management, data science and information retrieval · 1Human-computer interaction and ubiquitous computing · 1Theory of computation · 1Applied, interdisciplinary, general and emerging computing · 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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
model consistency
0.112008
Detecting model inconsistency through operation-based model construction · ICSE 2008
Requirements engineering and software design
model-driven engineering
0.112008
Detecting model inconsistency through operation-based model construction · ICSE 2008

Methods — techniques the papers use, named apart from their topics

prolog · 0.1first-order logic · 0.1
YearPublicationVenuePosition
2014 Have You Found the Error? A Formal Framework for Learning Game Verification
Amel Yessad, Isabelle Mounier, Jean-Marc Labat, Fabrice Kordon, Thibault Carron
EC-TEL2
2011 Feasibility analysis for robustness quantification by symbolic model checking
Souheib Baarir, Cécile Braunstein, Emmanuelle Encrenaz-Tiphène, Jean-Michel Ilié, Isabelle Mounier, Denis Poitrenaud, Sana Younès
Formal Methods Syst. Des.5
2009 Incremental Detection of Model Inconsistencies Based on Model Operations
Xavier Blanc 0001, Alix Mougenot, Isabelle Mounier, Tom Mens
CAiSE3
2008 Detecting model inconsistency through operation-based model construction
abstract
Nowadays, large-scale industrial software systems may involve hundreds of developers working on hundreds of different but related models representing parts of the same system specification. Detecting and resolving structural inconsistencies between these models is then critical. In this article we propose to represent models by sequences of elementary construction operations, rather than by the set of model elements they contain. Structural and methodological consistency rules can then be expressed uniformly as logical constraints on such sequences. Our approach is meta-model independent, allowing us to deal with consistency between different models whatever their kind. We have validated our approach by building a Prolog engine that detects violations of structural and methodological constraints specified on UML 2.1 models and requirement models. This engine has been integrated into two contemporary UML-based modelling environments, Eclipse EMF and Rational Software Architect (RSA).
Xavier Blanc 0001, Isabelle Mounier, Alix Mougenot, Tom Mens
ICSE2