Grant IT1519-22 GRUPOS ING SW
Ingeniería de Software y Sistemas
Funder: Gobierno Vasco
Call: Ikertalde 2022 (Gobierno Vasco)
Of Regional scope. With a Public character. It has been granted under a regime of Competitive.
Researchers
Former participants (3)
- Carrera Rivera, Angela Isabel 20222024
- Ochoa Agurto, William Steven 20222024
- Ugarte Querejeta, Miriam 20222024
Publications related to the project
Show by type2025
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ASTRAL: Automated Safety Testing of Large Language Models
Proceedings - 2025 IEEE/ACM International Conference on Automation of Software Test, AST 2025
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Automated Repair of Cyber-Physical Systems
Proceedings - International Conference on Software Engineering
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An industrial experience report on applying search-based boundary input generation to cyber-physical systems
Empirical Software Engineering
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Defining and generating multi-level and uncertainty-wise test oracles for cyber-physical systems
Software and Systems Modeling
2024
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OptiTwin: Data-Driven Machining Process Optimization Platform for SMEs
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
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A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
Procedia CIRP
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From Past to Present: Human–Machine Interfaces Evolve Toward Adaptivity
Future Perspectives on Human-Computer Interaction Research
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Monitorización del estado de la herramienta en mecanizado mediante redes neuronales residuales robustas
Revista DYNA
2023
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Structured dataset of human-machine interactions enabling adaptive user interfaces
Scientific Data
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Exploring the transformation of user interactions to adaptive human-machine interfaces
ACM International Conference Proceeding Series
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Monitorización de estado de la herramienta en mecanizado mediante redes neuronales residuales robustas
Congreso de Fabricación Avanzada y Máquinas-herramienta 2023 (23CMH). Donostia-San Sebastian, 25-27 de octubre, 2023
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Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning
Procedia CIRP
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How Do Deep Learning Faults Affect AI-Enabled Cyber-Physical Systems in Operation? A Preliminary Study Based on DeepCrime Mutation Operators
International Symposium on Empirical Software Engineering and Measurement