Continuous and Efficient Evolution of ML Systems: an Ecosystem-driven Approach. MLEvol

Publications

The publications related to the project are:

A) Journals

  • Vincenzo De Martino, Silverio Martínez-Fernández, Fabio Palomba. Green Architectural Tactics in ML-enabled Systems: An LLM-based Repository Mining Study. Empirical Software Engineering, vol. 32, no. 1, February 2027, 1. https://doi.org/10.1007/s10664-026-10865-9
  • Santiago del Rey, Luís Cruz, Xavier Franch, Silverio Martínez-Fernández. Estimating Deep Learning energy consumption based on model architecture and training environment. Computer Standards & Interfaces, vol. 99, January 2027, 104170. https://doi.org/10.1016/j.csi.2026.104170
  • Joel Castaño, Jaime Bustillo, Xavier Franch, Silverio Martínez-Fernández. Data-driven multi-objective optimization of ML inference hardware configurations for energy, performance and cost. Sustainable Computing: Informatics and Systems, vol. 50, June 2026, 101347. https://doi.org/10.1016/j.suscom.2026.101347
  • Vincenzo De Martino, Stefano Lambiase, Fabiano Pecorelli, Willem-Jan van den Heuvel, Filomena Ferrucci, Fabio Palomba. Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner’s Perspective. ACM Transactions on Software Engineering and Methodology, vol. 35, no. 7, July 2026, pp. 1–41. https://doi.org/10.1145/3777553
  • Antonios Kontaxakis, Dimitris Sacharidis, Alberto Abelló, Sergi Nadal, Alkis Simitsis. CAPS: Cost-Aware ML Pipeline Selection. Proceedings of the VLDB Endowment, vol. 19, no. 7, 2026, pp. 1427–1440. https://www.vldb.org/pvldb/vol19/p1427-kontaxakis.pdf
  • Cristina Gómez, Lidia López, Claudia Ayala, Miguel López. MLSToolbox Code Generator: A tool for generating quality ML pipelines for ML systems. SoftwareX, vol. 32, December 2025, 102379. https://doi.org/10.1016/j.softx.2025.102379

B) Conferences

  • Alberto Abelló, Enrico Gallinucci. DORM: Dynamic Object-Relational Mapping. 28th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2026), CEUR Workshop Proceedings, vol. 4186, pp. 1–17, March 2026. https://ceur-ws.org/Vol-4186/paper1.pdf
  • Joel Díaz, Alberto Abelló. Embedding Generation: Gembed an Open In-Database Extension to Use Them All. Advances in Databases and Information Systems (ADBIS 2026), LNCS vol. 16937, Springer, pp. 371–387, September 2026. Best Paper Award. https://doi.org/10.1007/978-3-032-39820-8_24
  • Alexandra González, Oscar Cerezo, Xavier Franch, Silverio Martínez-Fernández. A Tool for Automatically Cataloguing and Selecting Pre-Trained Models and Datasets for Software Engineering. 34th ACM International Conference on the Foundations of Software Engineering (FSE Companion 2026), pp. 117–121, July 2026. Tool Demonstration. https://doi.org/10.1145/3803437.3806403
  • Alexandra González, Xavier Franch, Silverio Martínez-Fernández. SEMODS: A Validated Dataset of Open-Source Software Engineering Models. 2026 IEEE/ACM Third International Conference on AI Foundation Models and Software Engineering (FORGE 2026), pp. 238–242, April 2026. Data Paper. https://doi.org/10.1145/3793655.3793717
  • Nil Macià, Marc Oriol. Quality Requirements for Quantum Software Engineering: A Systematic Mapping Study. XXX Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2026), Sistedes, 2026. https://hdl.handle.net/11705/JISBD/2026/164
  • Matias Martinez, Xavier Franch. What’s in a Benchmark? The Case of SWE-Bench in Automated Program Repair. IEEE/ACM 48th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP 2026), pp. 647–658, April 2026. https://doi.org/10.1145/3786583.3786904
  • Max Tiessler, Quim Motger. FeClustRE: Hierarchical Clustering and Semantic Tagging of App Features from User Reviews. Requirements Engineering: Foundation for Software Quality (REFSQ 2026), LNCS vol. 16497, Springer, pp. 145–160, March 2026. https://doi.org/10.1007/978-3-032-21423-2_10
  • Xavier Franch. Green AI in Enterprise Modeling: Challenges and Roadmap. PoEM (In press, 2025). Extended Abstract.

C) Preprints

  • Vincenzo De Martino, Giovanna Broccia, Fabiano Pecorelli, Jennifer Horkoff, Riccardo Coppola, Antonino Ferraro, Quim Motger, Emma McKenzie, Shahbaz Siddeeq. From Prompting to Engineering: A Research Agenda for Prompt Engineering in Software Engineering. arXiv preprint arXiv:2609.02248, September 2026. https://arxiv.org/abs/2609.02248
  • Alexandra González, Xavier Franch, David Lo, Silverio Martínez-Fernández. Cataloguing Hugging Face Models to Software Engineering Activities: Automation and Findings. arXiv preprint arXiv:2506.03013, June 2025. https://arxiv.org/abs/2506.03013