Validation and automatic test generation on UML models: the AGATHA approach. - David Lugato; Céline Bigot; Yannick Valot (FMICS, 2002)

Automatic Test Generation with AGATHA. - Céline Bigot; Alain Faivre; Jean-Pierre Gallois; Arnault Lapitre; David Lugato; Jean-Yves Pierron; Nicolas Rapin (TACAS, 2003)

Automated Functional Test Case Synthesis from THALES industrial Requirements. - David Lugato; Frédéric Maraux; Yves Le Traon; Véronique Normand; Hubert Dubois; Jean-Yves Pierron; Jean-Pierre Gallois; Clémentine Nebut (IEEE Real-Time and Embedded Technology and Applications Symposium, 2004)

Validation and automatic test generation on UML models: the AGATHA approach. - David Lugato; Céline Bigot; Yannick Valot; Jean-Pierre Gallois; Sébastien Gérard; François Terrier (Int. J. Softw. Tools Technol. Transf., 2004)

Improving Scalability and Maintenance of Software for High-Performance Scientific Computing by Combining MDE and Frameworks. - Marc Palyart; David Lugato; Ileana Ober; Jean-Michel Bruel (MoDELS, 2011)

Paprika: Rapid UI Development of Scientific Dataset Editors for High Performance Computing. - Didier Nassiet; Yohan Livet; Marc Palyart; David Lugato (SDL Forum, 2011)

MDE4HPC: An Approach for Using Model-Driven Engineering in High-Performance Computing. - Marc Palyart; David Lugato; Ileana Ober; Jean-Michel Bruel (SDL Forum, 2011)

MDHPCL 2012 workshop summary. - Ileana Ober; Aniruddha S. Gokhale; Geri Georg; Michael Felderer; Jean-Michel Bruel; David Lugato (MDHPCL@MoDELS, 2012)

HPCML: a modeling language dedicated to high-performance scientific computing. - Marc Palyart; Ileana Ober; David Lugato; Jean-Michel Bruel (MDHPCL@MoDELS, 2012)

Domain specific modeling for operations research simulation in a large industrial context. - David Lugato; Marc Palyart; Christophe Engelvin (DSM@SPLASH, 2012)

Enhancing version control with domain-specific semantics. - Matthieu Foucault; Sebastien Barbier; David Lugato (MiSE, 2013)

taco: a tool to generate tensor algebra kernels. - Fredrik Kjolstad; Stephen Chou; David Lugato; Shoaib Kamil 001; Saman P. Amarasinghe (ASE, 2017)

The tensor algebra compiler. - Fredrik Kjolstad; Shoaib Kamil 001; Stephen Chou; David Lugato; Saman P. Amarasinghe (Proc. ACM Program. Lang., 2017)

Laika: Efficient In-Place Scheduling for 3D Mesh Graph Computations. - Predrag Gruevski; William Hasenplaugh; David Lugato; James Thomas 003 (SPAA, 2018)

On the use of models for high-performance scientific computing applications: an experience report. - Ileana Ober; Marc Palyart; Jean-Michel Bruel; David Lugato (Softw. Syst. Model., 2018)

Variance Based Samples Weighting for Supervised Deep Learning. - Paul Novello; Gaël Poëtte; David Lugato; Pietro Marco Congedo (CoRR, 2021)

Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning. - Paul Novello; Gaël Poëtte; David Lugato; Pietro Marco Congedo (J. Sci. Comput., 2023)

Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees). - Paul Novello; Gaël Poëtte; David Lugato; Simon Peluchon; Pietro Marco Congedo (J. Comput. Phys., 2024)