QoS-aware Metamorphic Testing: An Elevation Case Study. - Jon Ayerdi; Sergio Segura; Aitor Arrieta; Goiuria Sagardui; Maite Arratibel (ISSRE, 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 (RE, 2020)

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 (AST@ICSE, 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 001; Tao Yue 002; Aitor Agirre; Goiuria Sagardui; Maite Arratibel (ICSA Companion, 2021)

Genetic Algorithm-based Testing of Industrial Elevators under Passenger Uncertainty. - Joritz Galarraga; Aitor Arrieta Marcos; Shaukat Ali 001; Goiuria Sagardui; Maite Arratibel (ISSRE Workshops, 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 (SAC, 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 (ESEC/SIGSOFT FSE, 2021)

Evolutionary generation of metamorphic relations for cyber-physical systems. - Jon Ayerdi; Valerio Terragni; Aitor Arrieta; Paolo Tonella; Goiuria Sagardui; Maite Arratibel (GECCO Companion, 2022)

Multi-Objective Metamorphic Test Case Selection: an Industrial Case Study (Practical Experience Report). - Jon Ayerdi; Aitor Arrieta; Ernest Bota Pobee; Maite Arratibel (ISSRE, 2022)

Are elevator software robust against uncertainties? results and experiences from an industrial case study. - Liping Han; Tao Yue 002; Shaukat Ali 001; Aitor Arrieta; Maite Arratibel (ESEC/SIGSOFT FSE, 2022)

Uncertainty-aware transfer learning to evolve digital twins for industrial elevators. - Qinghua Xu; Shaukat Ali 001; Tao Yue 002; Maite Arratibel (ESEC/SIGSOFT FSE, 2022)

Automating Test Oracle Generation in DevOps for Industrial Elevators. - Aitor Arrieta; Maialen Otaegi; Liping Han; Goiuria Sagardui; Shaukat Ali 001; Maite Arratibel (SANER, 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)

Automated Misconfiguration Repair of Configurable Cyber-Physical Systems with Search: an Industrial Case Study on Elevator Dispatching Algorithms. - Pablo Valle; Aitor Arrieta; Maite Arratibel (ICSE-SEIP, 2023)

Applying and Extending the Delta Debugging Algorithm for Elevator Dispatching Algorithms (Experience Paper). - Pablo Valle; Aitor Arrieta; Maite Arratibel (ISSTA, 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)

Uncertainty-Aware Robustness Assessment of Industrial Elevator Systems. - Liping Han; Shaukat Ali 001; Tao Yue 002; Aitor Arrieta; Maite Arratibel (ACM Trans. Softw. Eng. Methodol., 2023)

Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context. - Xinyi Wang 004; Shaukat Ali 001; Aitor Arrieta; Paolo Arcaini; Maite Arratibel (SIGSOFT FSE Companion, 2024)

Assessing Quantum Extreme Learning Machines for Software Testing in Practice. - Asmar Muqeet; Hassan Sartaj; Aitor Arrieta; Shaukat Ali 001; Paolo Arcaini; Maite Arratibel; Julie Marie Gjøby; Narasimha Raghavan Veeraragavan; Jan F. Nygård (CoRR, 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., 2024)

Pretrain, Prompt, and Transfer: Evolving Digital Twins for Time-to-Event Analysis in Cyber-Physical Systems. - Qinghua Xu; Tao Yue 002; Shaukat Ali 001; Maite Arratibel (IEEE Trans. Software Eng., 2024)

An industrial experience report on applying search-based boundary input generation to cyber-physical systems. - Pablo Valle; Vincenzo Riccio; Aitor Arrieta; Paolo Tonella; Maite Arratibel (Empir. Softw. Eng., 2025)