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Alix Mougenot

dblp:16/2345 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

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

Software engineering, systems software and programming languages · 4Databases, data management, data science and information retrieval · 2

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
2010 Towards Automated Inconsistency Handling in Design Models
Marcos Aurélio Almeida da Silva, Alix Mougenot, Xavier Blanc 0001, Reda Bendraou
CAiSE2
2010 Artifact or Process Guidance, an Empirical Study
Marcos Aurélio Almeida da Silva, Alix Mougenot, Reda Bendraou, Jacques Robin, Xavier Blanc 0001
MoDELS (2)2
2009 Incremental Detection of Model Inconsistencies Based on Model Operations
Xavier Blanc 0001, Alix Mougenot, Isabelle Mounier, Tom Mens
CAiSE2
2009 D-Praxis : A Peer-to-Peer Collaborative Model Editing Framework
Alix Mougenot, Xavier Blanc 0001, Marie-Pierre Gervais
DAIS1
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
ICSE3