| 2023 | ESEM | How Do Deep Learning Faults Affect AI-Enabled Cyber-Physical Systems in Operation? A Preliminary Study Based on DeepCrime Mutation Operators. | Aitor Arrieta, Pablo Valle, Asier Iriarte, Miren Illarramendi |
| 2023 | ICSE | RoadSign at the SBFT 2023 Tool Competition Cyber-Physical Systems Track. | Jon Ayerdi, Aitor Arrieta, Miren Illarramendi |
| 2023 | SAFECOMP | Using Runtime Information of Controllers for Safe Adaptation at Runtime: A Process Mining Approach. | Jorge Da Silva, Miren Illarramendi, Asier Iriarte |
| 2023 | SSBSE | A Novel Mutation Operator for Search-Based Test Case Selection. | Aitor Arrieta, Miren Illarramendi |
| 2022 | NOMS | Node-RED Workflow Manager for Edge Service Orchestration. | Felix Larrinaga, William Ochoa, Alain Perez, Javier Cuenca, Jon Legaristi, Miren Illarramendi |
| 2021 | AST | Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms. | Aitor Arrieta, Jon Ayerdi, Miren Illarramendi, Aitor Agirre, Goiuria Sagardui, Maite Arratibel |
| 2020 | IECON | Advantages of Arrowhead Framework for the Machine Tooling Industry. | Iigo Aldalur, Miren Illarramendi, Felix Larrinaga, Txema Perez, Fernando Senz, Gorka Unamuno, Inaxio Lazkanoiturburu |