Towards green AI‐based software systems: an architecture‐centric approach. GAISSA

Publications

The publications related to the project are:

A) Journals

  • Joel Castaño, Rafael Cabañas, Antonio Salmerón, David Lo, Silverio Martínez-Fernández: How do Machine Learning Models Change? TOSEM CoRR abs/2411.09645 (2025) https://dl.acm.org/doi/10.1145/3767157
  • Francisco Durán, Matias Martinez, Patricia Lago, Silverio Martínez-Fernández: Insights into resource utilization of code small language models serving with runtime engines and execution providers, The Journal of Systems & Software. https://arxiv.org/abs/2412.15441
  • Matias Martinez, Silverio Martínez-Fernández, Xavier Franch: The Sustainability Face of Automated Program Repair Tools. ACM Transactions on Software Engineering and Methodology, 2025. https://dl.acm.org/doi/10.1145/3744900 
  • Luís Cruz, Xavier Franch, Silverio Martínez-Fernández: Innovating for Tomorrow: The Convergence of Software Engineering and Green AI. ACM Transactions on Software Engineering and Methodology 34.5, 1-13, 2025. https://dl.acm.org/doi/full/10.1145/3712007
  • Alexandra González, Joel Castaño, Xavier Franch, Silverio Martínez-Fernández. Impact of ML optimization tactics on greener pre-trained ML models. Computing, 107(4), 103, 2025. https://link.springer.com/article/10.1007/s00607-025-01437-8
  • Álvaro Domingo Reguero, Silverio Martínez-Fernández, Roberto Verdecchia. Energy-efficient neural network training through runtime layer freezing, model quantization, and early stopping. Computer Standards & Interfaces (2024) 103906. https://doi.org/10.1016/j.csi.2024.103906
  • Castanyer, R.C., Martínez-Fernández, S. & Franch, X. Which design decisions in AI-enabled mobile applications contribute to greener AI?. Empir Software Eng 29, 2 (2024). https://doi.org/10.1007/s10664-023-10407-7
  • Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta: Training future ML engineers: a project-based course on MLOps. IEEE Software, 2024.
  • Francisco Durán, Silverio Martínez-Fernández, Michael Felderer and Xavier Franch: Guiding the retraining of convolutional neural networks against adversarial inputs. Accepted in PeerJ Computer Science, 2023. https://peerj.com/articles/cs-1454/

B) Conferences

C) In arxiv

  • Omar, R., Bogner, J., Muccini, H., Lago, P., Martínez-Fernández, S., & Franch, X. (2024). The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systems. arXiv preprint arXiv:2407.02914. https://arxiv.org/abs/2407.02914
  • Cruz, L., Gutierrez, X. F., & Martínez-Fernández, S. (2024). Innovating for Tomorrow: The Convergence of SE and Green AI. arXiv preprint arXiv:2406.18142. https://arxiv.org/abs/2406.18142
  • Luis Cruz, João Paulo Fernandes, Maja H. Kirkeby, Silverio Martínez-Fernández, June Sallou, Hina Anwar, Enrique Barba Roque, Justus Bogner, Joel Castaño, Fernando Castor, Aadil Chasmawala, Simão Cunha, Daniel Feitosa, Alexandra González, Andreas Jedlitschka, Patricia Lago, Henry Muccini, Ana Oprescu, Pooja Rani, João Saraiva, Federica Sarro, Raghavendra Selvan, Karthik Vaidhyanathan, Roberto Verdecchia, Ivan P. Yamshchikov:
    Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices. CoRR abs/2506.01774 (2025) https://arxiv.org/abs/2506.01774

 D) Master and bachelor theses

  E) Seminars:

  • Xavier Franch: "Green AI: A SE perspective". Jyväskylä University (Finland), March 2025.
  • Xavier Franch: "Green AI: Fundamentals and a SE perspective". Örebro University (Sweden), online, January 2025.
  • Silverio Martínez-Fernández: "Green AI systems: from measurement to improving energy efficiency", University of Bari, November, 30th, 2023.
  • Silverio Martínez-Fernández: "Green AI systems: from measurement to improving energy efficiency", University of L'Aquila, November, 29th, 2023.
  • Silverio Martínez-Fernández: "Towards sustainable ML-based software systems", University of Stuttgart, online, July 18th, 2023.
  • Silverio Martínez-Fernández: "The GAISSA project Towards green AI-based software systems: an architecture-centric approach", TU Delft, March, 16th, 2023.
  • Silverio Martínez-Fernández: “Towards green AI-based software systems: an architecture-driven approach (GAISSA)”, University of Bari, February, 2nd, 2023.

  F) Related publications from other related projects (not GAISSA):