Entwined Influences of Users' Behaviour and QoS: A Multi-model Approach. - Julien Siebert; Vincent Chevrier; Laurent Ciarletta (AIMS, 2008)

Impact du comportement des utilisateurs dans les réseaux pair-à-pair (P2P) : modélisation et simulation multi-agents. - Julien Siebert; Laurent Ciarletta; Vincent Chevrier (JFSMA, 2008)

De l'intérêt du couplage de modèles pour appréhender les interactions utilisateurs/réseaux dynamiques. - Julien Siebert; Laurent Ciarletta; Vincent Chevrier (Rev. d'Intelligence Artif., 2009)

Agents and artefacts for multiple models co-evolution: building complex system simulation as a set of interacting models. - Julien Siebert; Laurent Ciarletta; Vincent Chevrier (AAMAS, 2010)

Multi-modeling and Co-simulation-Based Mobile Ubiquitous Protocols and Services Development and Assessment. - Tom Leclerc; Julien Siebert; Vincent Chevrier; Laurent Ciarletta; Olivier Festor (MobiQuitous, 2010)

Agents & artefacts for multiple models coordination: objective and decentralized coordination of simulators. - Julien Siebert; Laurent Ciarletta; Vincent Chevrier (SAC, 2010)

Impact des dimensions spatiale et temporelle dans la modélisation d'un phénomène collectif de type free-riding. - Tomás Navarrete Gutiérrez; Julien Siebert; Laurent Ciarletta; Vincent Chevrier (Rev. d'Intelligence Artif., 2011)

Approche multi-agent pour la multi-modélisation et le couplage de simulations. Application à l'étude des influences entre le fonctionnement des réseaux ambiants et le comportement de leurs utilisateurs. (Multiagent approach for multimodeling and simulation couping. Application to ubiquitous networks). - Julien Siebert (2011)

Modélisation multi-niveaux dans AA4MM (présentation courte). - Benjamin Camus; Julien Siebert; Christine Bourjot; Vincent Chevrier (JFSMA, 2012)

Modélisation multi-niveaux dans AA4MM - Benjamin Camus; Julien Siebert; Christine Bourjot; Vincent Chevrier (CoRR, 2012)

Algorithm Accountability, Algorithm Literacy and the hidden assumptions from algorithms. - Julien Siebert (Software Engineering, 2018)

Towards Guidelines for Assessing Qualities of Machine Learning Systems. - Julien Siebert; Lisa Jöckel; Jens Heidrich; Koji Nakamichi; Kyoko Ohashi; Isao Namba; Rieko Yamamoto; Mikio Aoyama (QUATIC, 2020)

Requirements-Driven Method to Determine Quality Characteristics and Measurements for Machine Learning Software and Its Evaluation. - Koji Nakamichi; Kyoko Ohashi; Isao Namba; Rieko Yamamoto; Mikio Aoyama; Lisa Jöckel; Julien Siebert; Jens Heidrich (RE, 2020)

A systematic review of Python packages for time series analysis. - Julien Siebert; Janek Groß; Christof Schroth (CoRR, 2021)

Data-Driven Technical Debt Management: Software Engineering or Data Science Challenge? - Adam Trendowicz; Julien Siebert; Andreas Jedlitschka (IEEE Softw., 2021)

TinyML: A Systematic Review and Synthesis of Existing Research. - Hui Han 003; Julien Siebert (ICAIIC, 2022)

Towards a Roadmap for Trustworthy Dynamic Systems-of-Systems. - Rasmus Adler; Frank Elberzhager; Julien Siebert (CoRR, 2022)

Challenges related to system-of-systems for greening and climate adaptation in smart cities. - Sarah Brandt; Julien Siebert (CoRR, 2022)

Construction of a quality model for machine learning systems. - Julien Siebert; Lisa Jöckel; Jens Heidrich; Adam Trendowicz; Koji Nakamichi; Kyoko Ohashi; Isao Namba; Rieko Yamamoto; Mikio Aoyama (Softw. Qual. J., 2022)

Software Engineering for AI-Based Systems: A Survey. - Silverio Martínez-Fernández; Justus Bogner; Xavier Franch; Marc Oriol; Julien Siebert; Adam Trendowicz; Anna Maria Vollmer; Stefan Wagner 001 (ACM Trans. Softw. Eng. Methodol., 2022)

Badgers: generating data quality deficits with Python. - Julien Siebert; Daniel Seifert; Patricia Kelbert; Michael Kläs; Adam Trendowicz (CoRR, 2023)

Applications of statistical causal inference in software engineering. - Julien Siebert (Inf. Softw. Technol., 2023)

Evaluation of large language models for assessing code maintainability. - Marc Dillmann; Julien Siebert; Adam Trendowicz (CoRR, 2024)