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ORCIDJulien Siebert
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2020 – today
- 2024
[i9]Marc Dillmann, Julien Siebert, Adam Trendowicz:
Evaluation of large language models for assessing code maintainability. CoRR abs/2401.12714 (2024)- 2023
- [j6]Julien Siebert
:
Applications of statistical causal inference in software engineering. Inf. Softw. Technol. 159: 107198 (2023) - [i8]Julien Siebert, Daniel Seifert, Patricia Kelbert, Michael Kläs, Adam Trendowicz:
Badgers: generating data quality deficits with Python. CoRR abs/2307.04468 (2023) - 2022
- [j5]Julien Siebert, Lisa Jöckel, Jens Heidrich, Adam Trendowicz, Koji Nakamichi, Kyoko Ohashi, Isao Namba, Rieko Yamamoto, Mikio Aoyama:
Construction of a quality model for machine learning systems. Softw. Qual. J. 30(2): 307-335 (2022) - [j4]Silverio Martínez-Fernández, Justus Bogner, Xavier Franch, Marc Oriol, Julien Siebert, Adam Trendowicz, Anna Maria Vollmer, Stefan Wagner:
Software Engineering for AI-Based Systems: A Survey. ACM Trans. Softw. Eng. Methodol. 31(2): 37e:1-37e:59 (2022) - [c11]Hui Han, Julien Siebert:
TinyML: A Systematic Review and Synthesis of Existing Research. ICAIIC 2022: 269-274 - [i7]Rasmus Adler, Frank Elberzhager, Julien Siebert:
Towards a Roadmap for Trustworthy Dynamic Systems-of-Systems. CoRR abs/2206.06008 (2022) - [i6]Sarah Brandt, Julien Siebert:
Challenges related to system-of-systems for greening and climate adaptation in smart cities. CoRR abs/2211.08890 (2022) - [i5]Julien Siebert:
Applications of statistical causal inference in software engineering. CoRR abs/2211.11482 (2022) - 2021
- [j3]Adam Trendowicz, Julien Siebert, Andreas Jedlitschka:
Data-Driven Technical Debt Management: Software Engineering or Data Science Challenge? IEEE Softw. 38(6): 59-64 (2021) - [i4]Julien Siebert, Janek Groß, Christof Schroth:
A systematic review of Python packages for time series analysis. CoRR abs/2104.07406 (2021) - [i3]Silverio Martínez-Fernández, Justus Bogner, Xavier Franch, Marc Oriol, Julien Siebert, Adam Trendowicz, Anna Maria Vollmer, Stefan Wagner:
Software Engineering for AI-Based Systems: A Survey. CoRR abs/2105.01984 (2021) - 2020
- [c10]Julien Siebert, Lisa Jöckel, Jens Heidrich, Koji Nakamichi, Kyoko Ohashi, Isao Namba, Rieko Yamamoto, Mikio Aoyama:
Towards Guidelines for Assessing Qualities of Machine Learning Systems. QUATIC 2020: 17-31 - [c9]Koji Nakamichi, Kyoko Ohashi, Isao Namba, Rieko Yamamoto, Mikio Aoyama, Lisa Jöckel, Julien Siebert, Jens Heidrich:
Requirements-Driven Method to Determine Quality Characteristics and Measurements for Machine Learning Software and Its Evaluation. RE 2020: 260-270 - [i2]Julien Siebert, Lisa Jöckel, Jens Heidrich, Koji Nakamichi, Kyoko Ohashi, Isao Namba, Rieko Yamamoto, Mikio Aoyama:
Towards Guidelines for Assessing Qualities of Machine Learning Systems. CoRR abs/2008.11007 (2020)
2010 – 2019
- 2018
- [c8]Julien Siebert:
Algorithm Accountability, Algorithm Literacy and the hidden assumptions from algorithms. Software Engineering 2018: 29 - 2012
- [c7]Benjamin Camus, Julien Siebert, Christine Bourjot, Vincent Chevrier:
Modélisation multi-niveaux dans AA4MM (présentation courte). JFSMA 2012: 43-52 - [i1]Benjamin Camus, Julien Siebert, Christine Bourjot, Vincent Chevrier:
Modélisation multi-niveaux dans AA4MM. CoRR abs/1210.5936 (2012) - 2011
- [b1]Julien Siebert:
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). Henri Poincaré University, Nancy, France, 2011 - [j2]Tomás Navarrete Gutiérrez, Julien Siebert, Laurent Ciarletta, Vincent Chevrier:
Impact des dimensions spatiale et temporelle dans la modélisation d'un phénomène collectif de type free-riding. Rev. d'Intelligence Artif. 25(5): 625-651 (2011) - 2010
- [c6]Julien Siebert, Laurent Ciarletta, Vincent Chevrier:
Agents and artefacts for multiple models co-evolution: building complex system simulation as a set of interacting models. AAMAS 2010: 509-516 - [c5]Tomás Navarrete Gutiérrez, Julien Siebert, Laurent Ciarletta, Vincent Chevrier:
Impact des dimensions spatiale et temporelle dans la modélisation d'un phénomène collectif de type free-riding. JFSMA 2010: 119-130 - [c4]Tom Leclerc, Julien Siebert, Vincent Chevrier, Laurent Ciarletta, Olivier Festor:
Multi-modeling and Co-simulation-Based Mobile Ubiquitous Protocols and Services Development and Assessment. MobiQuitous 2010: 273-284 - [c3]Julien Siebert, Laurent Ciarletta, Vincent Chevrier:
Agents & artefacts for multiple models coordination: objective and decentralized coordination of simulators. SAC 2010: 2024-2028
2000 – 2009
- 2009
- [j1]Julien Siebert, Laurent Ciarletta, Vincent Chevrier:
De l'intérêt du couplage de modèles pour appréhender les interactions utilisateurs/réseaux dynamiques. Rev. d'Intelligence Artif. 23(5-6): 749-776 (2009) - 2008
- [c2]Julien Siebert, Vincent Chevrier, Laurent Ciarletta:
Entwined Influences of Users' Behaviour and QoS: A Multi-model Approach. AIMS 2008: 175-179 - [c1]Julien Siebert, Laurent Ciarletta, Vincent Chevrier:
Impact du comportement des utilisateurs dans les réseaux pair-à-pair (P2P) : modélisation et simulation multi-agents. JFSMA 2008: 129-138
Coauthor Index
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