Maite Arratibel

According to our database, Maite Arratibel authored at least 21 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Pretrain, Prompt, and Transfer: Evolving Digital Twins for Time-to-Event Analysis in Cyber-Physical Systems.

Qinghua Xu, Tao Yue, Shaukat Ali, Maite Arratibel

IEEE Trans. Software Eng., June, 2024

A microservice-based framework for multi-level testing of cyber-physical systems.

Iñigo Aldalur, Aitor Arrieta, Aitor Agirre, Goiuria Sagardui, Maite Arratibel

Softw. Qual. J., March, 2024

Assessing Quantum Extreme Learning Machines for Software Testing in Practice.

Asmar Muqeet, Hassan Sartaj, Aitor Arrieta, Shaukat Ali, Paolo Arcaini, Maite Arratibel, Julie Marie Gjøby, Narasimha Raghavan Veeraragavan, Jan F. Nygård

CoRR, 2024

Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context.

Xinyi Wang, Shaukat Ali, Aitor Arrieta, Paolo Arcaini, Maite Arratibel

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

2023

Uncertainty-Aware Robustness Assessment of Industrial Elevator Systems.

Liping Han, Shaukat Ali, Tao Yue, Aitor Arrieta, Maite Arratibel

ACM Trans. Softw. Eng. Methodol., July, 2023

Performance-Driven Metamorphic Testing of Cyber-Physical Systems.

Jon Ayerdi, Pablo Valle, Sergio Segura, Aitor Arrieta, Goiuria Sagardui, Maite Arratibel

IEEE Trans. Reliab., 2023

Applying and Extending the Delta Debugging Algorithm for Elevator Dispatching Algorithms (Experience Paper).

Pablo Valle, Aitor Arrieta, Maite Arratibel

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Automated Misconfiguration Repair of Configurable Cyber-Physical Systems with Search: an Industrial Case Study on Elevator Dispatching Algorithms.

Pablo Valle, Aitor Arrieta, Maite Arratibel

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

2022

Machine learning-based test oracles for performance testing of cyber-physical systems: An industrial case study on elevators dispatching algorithms.

Aitor Gartziandia, Aitor Arrieta, Jon Ayerdi, Miren Illarramendi, Aitor Agirre, Goiuria Sagardui, Maite Arratibel

J. Softw. Evol. Process., 2022

Automating Test Oracle Generation in DevOps for Industrial Elevators.

Aitor Arrieta, Maialen Otaegi, Liping Han, Goiuria Sagardui, Shaukat Ali, Maite Arratibel

Proceedings of the IEEE International Conference on Software Analysis, 2022

Uncertainty-aware transfer learning to evolve digital twins for industrial elevators.

Qinghua Xu, Shaukat Ali, Tao Yue, Maite Arratibel

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Are elevator software robust against uncertainties? results and experiences from an industrial case study.

Liping Han, Tao Yue, Shaukat Ali, Aitor Arrieta, Maite Arratibel

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Multi-Objective Metamorphic Test Case Selection: an Industrial Case Study (Practical Experience Report).

Jon Ayerdi, Aitor Arrieta, Ernest Bota Pobee, Maite Arratibel

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Evolutionary generation of metamorphic relations for cyber-physical systems.

Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, Maite Arratibel

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Generating metamorphic relations for cyber-physical systems with genetic programming: an industrial case study.

Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, Maite Arratibel

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Using regression learners to predict performance problems on software updates: a case study on elevators dispatching algorithms.

Aitor Gartziandia, Aitor Arrieta, Aitor Agirre, Goiuria Sagardui, Maite Arratibel

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Genetic Algorithm-based Testing of Industrial Elevators under Passenger Uncertainty.

Joritz Galarraga, Aitor Arrieta Marcos, Shaukat Ali, Goiuria Sagardui, Maite Arratibel

Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

Microservices for Continuous Deployment, Monitoring and Validation in Cyber-Physical Systems: an Industrial Case Study for Elevators Systems.

Aitor Gartziandia, Jon Ayerdi, Aitor Arrieta, Shaukat Ali, Tao Yue, Aitor Agirre, Goiuria Sagardui, Maite Arratibel

Proceedings of the 18th IEEE International Conference on Software Architecture Companion, 2021

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

Proceedings of the 2nd IEEE/ACM International Conference on Automation of Software Test, 2021

2020

Towards a Taxonomy for Eliciting Design-Operation Continuum Requirements of Cyber-Physical Systems.

Jon Ayerdi, Aitor Gartziandia, Aitor Arrieta, Wasif Afzal, Eduard Enoiu, Aitor Agirre, Goiuria Sagardui, Maite Arratibel, Ola Sellin

Proceedings of the 28th IEEE International Requirements Engineering Conference, 2020

QoS-aware Metamorphic Testing: An Elevation Case Study.

Jon Ayerdi, Sergio Segura, Aitor Arrieta, Goiuria Sagardui, Maite Arratibel

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020