Treffer: Incorporating FATES Principles in Continuous Development of ML-Integrated Systems: Importance of Requirements

Title:
Incorporating FATES Principles in Continuous Development of ML-Integrated Systems: Importance of Requirements
Authors:
Bruel, J.-M., Gouaichault, T., Teste, O., Blay-Fornarino, M., Lacroix, N., Precioso, Frederic, Mosser, S.
Contributors:
Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS, Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA), Université Côte d'Azur (UniCA), Modèles et algorithmes pour l’intelligence artificielle (MAASAI), Centre Inria d'Université Côte d'Azur, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Laboratoire Jean Alexandre Dieudonné (LJAD), Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Centre National de la Recherche Scientifique (CNRS)
Source:
2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW). :425-431
Publisher Information:
CCSD; IEEE, 2025.
Publication Year:
2025
Collection:
collection:UNICE
collection:CNRS
collection:INRIA
collection:INRIA-SOPHIA
collection:I3S
collection:INSMI
collection:INRIASO
collection:DIEUDONNE
collection:INRIA_TEST
collection:TESTALAIN1
collection:INRIA2
collection:UNIV-COTEDAZUR
collection:TEST-NICE
Subject Terms:
Continuous Integration, Security, Ethics, Transparency, Accountability, Fairness, [INFO.INFO-SE]Computer Science [cs], Software Engineering [cs.SE], [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs], Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs], Machine Learning [cs.LG]
Subject Geographic:
Valencia, France
Original Identifier:
HAL: hal-05393692
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1109/REW66121.2025.00062
DOI:
10.1109/REW66121.2025.00062
Availability:
https://hal.science/hal-05393692
Accession Number:
edshal.hal.05393692v1
Database:
HAL

Weitere Informationen

The MLOps movement adopts the DevOps objective of reducing the gap between development and operations teamsby integrating data scientist teams and Machine Learning (ML) models. The initial FATES-MLOps project aims to apply andadapt good software engineering practices to enhance both the quality of the ML model construction processes and the software systems produced, particularly with regard to extra-functional properties that will be critical issues: Fairness, Accountability, Transparency, Ethics, and Security (FATES). This paper focuses specifically on the formalization, measurement, and management of these properties throughout the MLOps process.