Publications

The publications related to the project are:

A) Journals

  • 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/
  • 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 Transactions on Software Engineering Methodology 31(2): 37e:1-37e:59 (2022). [pdf]

B) Conferences

  • Santiago del Rey: Software Design Decisions for Greener Machine Learning-based Systems, DS@CAIN 2024
  • Francisco Durán, Silverio Martínez-Fernández, Matias Martinez, Patricia Lago: Identifying architectural design decisions for achieving green ML serving, CAIN@ICSE2024. [pdf]
  • Joel Castaño, Silverio Martínez-Fernández, Xavier Franch, Justus Bogner: Analyzing the Evolution and Maintenance of ML Models on Hugging Face, MSR2024. [pdf]
  • Joel Castaño, Silverio Martínez-Fernández, Xavier Franch: Lessons Learned from Mining the Hugging Face Repository, WSESE@ICSE 2024
  • Matias Martinez, Silverio Martínez-Fernández, Xavier Franch: Energy Consumption of Automated Program Repair, Póster track ICSE 2024. [pdf]
  • Santiago del Rey, Silverio Martínez-Fernández, Luís Cruz and Xavier Franch. Do DL models and training environments have an impact on energy consumption? Accepted in DSD/SEAA 2023 conference. https://ieeexplore.ieee.org/document/10371661
  • Silverio Martínez-Fernández, Xavier Franch and Francisco Durán. Towards green AI-based software systems: an architecture-centric approach (GAISSA). Accepted in DSD/SEAA 2023 conference. https://ieeexplore.ieee.org/abstract/document/10371616
  • H. Ahmed, A. Boshchenko, N. Khan, D. Knyajev, D. Garifollina, G. Scoccia, M. Martinez, I. Malavolta. Evolution of Kotlin Apps in terms of Energy Consumption: An Exploratory Study.  (ICT4S 2023). [pdf]
  • Joel Castaño, Silverio Martínez-Fernández, Xavier Franch, Justus Bogner: Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study. (2023). Accepted in the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) 2023. [pdf]
  • Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta: Teaching MLOps in Higher Education through Project-Based Learning. ICSE SEET (2023) [pdf]
  • Santiago del Rey, Silverio Martínez-Fernández and Xavier Franch A review on green deployment for Edge AI. ICT4S 2023
  • Xavier Franch, Andreas Jedlitschka, Silverio Martínez-Fernández. A Requirements Engineering Perspective to AI-Based Systems Development: A Vision Paper. In Proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2023). LNCS 13975: 223-232, Springer. https://doi.org/10.1007/978-3-031-29786-1_15.
  • Yinlena Xu, Silverio Martínez-Fernández, Matias Martinez, Xavier Franch. Energy Efficiency of Training Neural Network Architectures: An Empirical Study. In Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS 2023): 781-790. https://hdl.handle.net/10125/102727 [pdf]
  • Xavier Franch, Silverio Martínez-Fernández, Claudia P. Ayala, Cristina Gómez. Architectural Decisions in AI-based Systems: An Ontological View. In Procedings of the 15th International Conference on Quality of Information and Communications Technology (QUATIC 2022). CCIS 1621: 18-27, Springer. https://doi.org/10.1007/978-3-031-14179-9_2
  • Roger Creus Castanyer, Silverio Martínez-Fernández, Xavier Franch. Integration of Convolutional Neural Networks in Mobile Applications. In Proceedings of the 1st IEEE/ACM Workshop on AI Engineering-Software Engineering for AI (WAIN 2021): 27-34. https://doi.org/10.1109/WAIN52551.2021.00010 [pdf]

C) In arxiv

 D) Master and bachelor theses