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2020 – today
- 2024
[j5]Iñigo Aldalur, Aitor Arrieta, Aitor Agirre, Goiuria Sagardui, Maite Arratibel:
A microservice-based framework for multi-level testing of cyber-physical systems. Softw. Qual. J. 32(1): 193-223 (2024)- [j4]Qinghua Xu
, Tao Yue, Shaukat Ali, Maite Arratibel:
Pretrain, Prompt, and Transfer: Evolving Digital Twins for Time-to-Event Analysis in Cyber-Physical Systems. IEEE Trans. Software Eng. 50(6): 1464-1477 (2024) - [c15]Xinyi Wang, Shaukat Ali, Aitor Arrieta, Paolo Arcaini, Maite Arratibel:
Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context. SIGSOFT FSE Companion 2024: 399-410 - [i4]Xinyi Wang, Shaukat Ali, Aitor Arrieta, Paolo Arcaini, Maite Arratibel:
Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context. CoRR abs/2402.12777 (2024) - 2023
- [j3]Liping Han, Shaukat Ali, Tao Yue, Aitor Arrieta, Maite Arratibel:
Uncertainty-Aware Robustness Assessment of Industrial Elevator Systems. ACM Trans. Softw. Eng. Methodol. 32(4): 95:1-95:51 (2023) - [j2]Jon Ayerdi, Pablo Valle, Sergio Segura, Aitor Arrieta, Goiuria Sagardui, Maite Arratibel:
Performance-Driven Metamorphic Testing of Cyber-Physical Systems. IEEE Trans. Reliab. 72(2): 827-845 (2023) - [c14]Pablo Valle, Aitor Arrieta, Maite Arratibel:
Automated Misconfiguration Repair of Configurable Cyber-Physical Systems with Search: an Industrial Case Study on Elevator Dispatching Algorithms. ICSE-SEIP 2023: 396-408 - [c13]Pablo Valle, Aitor Arrieta, Maite Arratibel:
Applying and Extending the Delta Debugging Algorithm for Elevator Dispatching Algorithms (Experience Paper). ISSTA 2023: 1055-1067 - [i3]Pablo Valle, Aitor Arrieta, Maite Arratibel:
Automated Misconfiguration Repair of Configurable Cyber-Physical Systems with Search: an Industrial Case Study on Elevator Dispatching Algorithms. CoRR abs/2301.01487 (2023) - [i2]Pablo Valle, Aitor Arrieta, Maite Arratibel:
Applying and Extending the Delta Debugging Algorithm for Elevator Dispatching Algorithms (Experience Paper). CoRR abs/2305.17803 (2023) - [i1]Qinghua Xu, Tao Yue, Shaukat Ali, Maite Arratibel:
Pretrain, Prompt, and Transfer: Evolving Digital Twins for Time-to-Event Analysis in Cyber-physical Systems. CoRR abs/2310.00032 (2023) - 2022
- [j1]Aitor Gartziandia, Aitor Arrieta, Jon Ayerdi, Miren Illarramendi, Aitor Agirre, Goiuria Sagardui, Maite Arratibel:
Machine learning-based test oracles for performance testing of cyber-physical systems: An industrial case study on elevators dispatching algorithms. J. Softw. Evol. Process. 34(11) (2022) - [c12]Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, Maite Arratibel:
Evolutionary generation of metamorphic relations for cyber-physical systems. GECCO Companion 2022: 15-16 - [c11]Jon Ayerdi, Aitor Arrieta, Ernest Bota Pobee, Maite Arratibel:
Multi-Objective Metamorphic Test Case Selection: an Industrial Case Study (Practical Experience Report). ISSRE 2022: 541-552 - [c10]Qinghua Xu, Shaukat Ali, Tao Yue, Maite Arratibel:
Uncertainty-aware transfer learning to evolve digital twins for industrial elevators. ESEC/SIGSOFT FSE 2022: 1257-1268 - [c9]Liping Han, Tao Yue, Shaukat Ali, Aitor Arrieta, Maite Arratibel:
Are elevator software robust against uncertainties? results and experiences from an industrial case study. ESEC/SIGSOFT FSE 2022: 1331-1342 - [c8]Aitor Arrieta, Maialen Otaegi, Liping Han, Goiuria Sagardui, Shaukat Ali, Maite Arratibel:
Automating Test Oracle Generation in DevOps for Industrial Elevators. SANER 2022: 284-288 - 2021
- [c7]Aitor Arrieta, Jon Ayerdi, Miren Illarramendi, Aitor Agirre, Goiuria Sagardui, Maite Arratibel:
Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms. AST@ICSE 2021: 30-39 - [c6]Aitor Gartziandia, Jon Ayerdi, Aitor Arrieta, Shaukat Ali, Tao Yue, Aitor Agirre, Goiuria Sagardui, Maite Arratibel:
Microservices for Continuous Deployment, Monitoring and Validation in Cyber-Physical Systems: an Industrial Case Study for Elevators Systems. ICSA Companion 2021: 46-53 - [c5]Joritz Galarraga, Aitor Arrieta Marcos, Shaukat Ali, Goiuria Sagardui, Maite Arratibel:
Genetic Algorithm-based Testing of Industrial Elevators under Passenger Uncertainty. ISSRE Workshops 2021: 353-358 - [c4]Aitor Gartziandia, Aitor Arrieta, Aitor Agirre, Goiuria Sagardui, Maite Arratibel:
Using regression learners to predict performance problems on software updates: a case study on elevators dispatching algorithms. SAC 2021: 135-144 - [c3]Jon Ayerdi, Valerio Terragni, Aitor Arrieta, Paolo Tonella, Goiuria Sagardui, Maite Arratibel:
Generating metamorphic relations for cyber-physical systems with genetic programming: an industrial case study. ESEC/SIGSOFT FSE 2021: 1264-1274 - 2020
- [c2]Jon Ayerdi, Sergio Segura, Aitor Arrieta, Goiuria Sagardui, Maite Arratibel:
QoS-aware Metamorphic Testing: An Elevation Case Study. ISSRE 2020: 104-114 - [c1]Jon Ayerdi, Aitor Gartziandia, Aitor Arrieta, Wasif Afzal, Eduard Enoiu, Aitor Agirre, Goiuria Sagardui, Maite Arratibel, Ola Sellin:
Towards a Taxonomy for Eliciting Design-Operation Continuum Requirements of Cyber-Physical Systems. RE 2020: 280-290
Coauthor Index
aka: Aitor Arrieta Marcos
aka: Goiuria Sagardui
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last updated on 2024-10-07 22:23 CEST by the dblp team
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