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Jessie Galasso-Carbonnel
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Feature model composition assisted by formal concept analysis
J Carbonnel, M Huchard, A Miralles, C Nebut
International Conference on Evaluation of Novel Approaches to Software …, 2017
312017
Modelling equivalence classes of feature models with concept lattices to assist their extraction from product descriptions
J Carbonnel, M Huchard, C Nebut
Journal of Systems and Software 152, 1-23, 2019
202019
Inference of Simulation Models in Digital Twins by Reinforcement Learning
I David, J Galasso, E Syriani
2021 ACM/IEEE International Conference on Model Driven Engineering Languages …, 2021
172021
FCA for Software Product Line representation: Mixing configuration and feature relationships in a unique canonical representation
J Carbonnel, K Bertet, M Huchard, C Nebut
Discrete Applied Mathematics 273, 43-64, 2020
132020
FCA for Software Product Lines Representation: Mixing Configuration and Feature Relationships in a Unique Canonical Representation
J Carbonnel, K Bertet, M Huchard, C Nebut
13th International Conference on Concept Lattices and Their Applications …, 2016
132016
On-demand relational concept analysis
A Bazin, J Carbonnel, M Huchard, G Kahn, P Keip, A Ouzerdine
International Conference on Formal Concept Analysis, 155-172, 2019
112019
Analyzing Variability in Product Families through Canonical Feature Diagrams
J Carbonnel, M Huchard, C Nebut
29th International Conference on Software Engineering and Knowledge …, 2017
112017
Variability representation in product lines using concept lattices: feasibility study with descriptions from Wikipedia's product comparison matrices
J Carbonnel, M Huchard, A Gutierrez
FCA&A 2015, co-located with 13th International Conference on Formal Concept …, 2015
112015
Towards complex product line variability modelling: Mining relationships from non-boolean descriptions
J Carbonnel, M Huchard, C Nebut
Journal of Systems and Software 156, 341-360, 2019
92019
L'analyse formelle de concepts: un cadre structurel pour l'étude de la variabilité de familles de logiciels
J Carbonnel
Université Montpellier, 2018
92018
Towards the Extraction of Variability Information to Assist Variability Modelling of Complex Product Lines
J Carbonnel, M Huchard, C Nebut
Proceedings of the 12th International Workshop on Variability Modelling of …, 2018
82018
Graph-based variability modelling: Towards a classification of existing formalisms
J Carbonnel, D Delahaye, M Huchard, C Nebut
Graph-Based Representation and Reasoning: 24th International Conference on …, 2019
72019
On-demand Generation of AOC-posets: Reducing the Complexity of Conceptual Navigation
A Bazin, J Carbonnel, G Kahn
International Symposium on Methodologies for Intelligent Systems, 611-621, 2017
72017
Automated Patch Generation for Fixing Semantic Errors in ATL Transformation Rules
Z VaraminyBahnemiry, J Galasso, K Belharbi, H Sahraoui
2021 ACM/IEEE 24th International Conference on Model Driven Engineering …, 2021
62021
Global Decision Making Over Deep Variability in Feedback-Driven Software Development
J Kienzle, B Combemale, G Mussbacher, O Alam, F Bordeleau, ...
37th IEEE/ACM International Conference on Automated Software Engineering, 1-6, 2022
52022
Exploring the variability of interconnected product families with relational concept analysis
J Carbonnel, M Huchard, C Nebut
Proceedings of the 23rd International Systems and Software Product Line …, 2019
52019
Fixing Multiple Type Errors in Model Transformations with Alternative Oracles to Test Cases
Z VaraminyBahnemiry, J Galasso, H Sahraoui
arXiv preprint arXiv:2012.07953, 2020
42020
CLEF, a Java library to Extract Logical Relationships from Multivalued Contexts.
J Carbonnel
ICFCA (Supplements), 45-49, 2019
32019
Fault localization in DSLTrans model transformations by combining symbolic execution and spectrum-based analysis
BJ Oakes, J Troya, J Galasso, M Wimmer
Software and Systems Modeling 23 (3), 737-763, 2024
22024
Fingerprinting and Building Large Reproducible Datasets
R Lefeuvre, J Galasso, B Combemale, H Sahraoui, S Zacchiroli
Proceedings of the 2023 ACM Conference on Reproducibility and Replicability …, 2023
22023
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