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Anne Monceaux

dblp:83/6886 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Software engineering, systems software and programming languages · 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%
Theoretical computer science
1 paper
Automated reasoning and model checking · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
requirements traceability
0.312017
ModelWriter: text and model-synchronized document engineering platform · ASE 2017

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

semantic parsing · 0.6first-order relational logic · 0.6finite model finding · 0.6description logic · 0.6
YearPublicationVenuePosition
2017 ModelWriter: text and model-synchronized document engineering platform
abstract
The ModelWriter platform provides a generic framework for automated traceability analysis. In this paper, we demonstrate how this framework can be used to trace the consistency and completeness of technical documents that consist of a set of System Installation Design Principles used by Airbus to ensure the correctness of aircraft system installation. We show in particular, how the platform allows the integration of two types of reasoning: reasoning about the meaning of text using semantic parsing and description logic theorem proving; and reasoning about document structure using first-order relational logic and finite model finding for traceability analysis.
Ferhat Erata, Claire Gardent, Bikash Gyawali, Anastasia Shimorina, Yvan Lussaud, Bedir Tekinerdogan, Geylani Kardas, Anne Monceaux
ASE8
2010 Knowledge Models to Reduce the Gap between Heterogeneous Models: Application to Aircraft Systems Engineering
abstract
The need to manage the complexity of current systems encourages the use of models in Engineering processes. Systems Engineering is a multi-domain discipline which implies a wide variety of heterogeneous design models in the life-cycle of the system. Furthermore, dividing of the work and the advent of collaborative engineering techniques require combination of these heterogeneous models in order to achieve the overall engineering process. In such a context, we propose a methodology making possible to interoperate existing heterogeneous design models. Our approach fastens upon knowledge in order to annotate and homogenize the models. More precisely, we claim that design models can be completed or clarified with shared domain knowledge, i.e. ontologies, which is mastered by the engineers but usually not formalized. Moreover, this methodology is not intrusive since it aims to link models by developing an additional model of relations which allows keeping the traceability to the original models.
David Simon Zayas, Anne Monceaux, Yamine Aït-Ameur
ICECCS2