Export 7 results:
Filters: Author is Maite Arratibel  [Clear All Filters]
2022
L. Han, T. Yue, S. Ali, A. Arrieta, and M. Arratibel. Are Elevator Software Robust Against Uncertainties? Results and Experiences from an Industrial Case Study In The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). ACM, 2022.
A. Arrieta, M. Otaegi, L. Han, G. Sagardui, S. Ali, and M. Arratibel. Automating Test Oracle Generation in DevOps for Industrial Elevators In 29th IEEE International Conference onSoftware Analysis, Evolution and Reengineering, Edited by M. Ciolkowski and F. Palomba. IEEE, 2022.
L. Han, S. Ali, T. Yue, A. Arrieta, and M. Arratibel. "Uncertainty-aware Robustness Assessment of Industrial Elevator Systems." ACM Transactions on Software Engineering and Methodology (2022).
L. Han, S. Ali, T. Yue, A. Arrieta, and M. Arratibel. Uncertainty-aware Robustness Assessment of Industrial Elevator Systems. Simula Research Laboratory, 2022.PDF icon tr_mutants.pdf (2 MB)
Q. Xu, S. Ali, T. Yue, and M. Arratibel. Uncertainty-Aware Transfer Learning to Evolve Digital Twins for Industrial Elevators In The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). ACM, 2022.PDF icon 3540250.3558957.pdf (1 MB)