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2023
Q. Xu, S. Ali and T. Yue. "Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems." ACM Transactions on Software Engineering and Methodology (2023).
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.
L. Han, T. Yue, S. Ali and A. Arrieta. Classifying Uncertainties in an Industrial Elevator with the Cynefin Framework. Simula Research Laboratory, 2022.PDF icon tr_cynefin.pdf (2.03 MB)
Q. Xu, S. Ali and T. Yue. Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems. Simula Research Laboratory, 2022.PDF icon tr_dt.pdf (1.01 MB)
Q. Chen, T. Wang, C. Lu, T. Yue and S. Ali. Enhancing the realism of autonomous driving simulation with real-time co-simulation In 4th International Workshop on Multi-Paradigm Modelling for Cyber-Physical Systems (MPM4CPS'22) , Edited by M. Amrani, D. Blouin, M. Challenger, J. Exelmans, R. Heinrich and R. Paredis. IEEE/ACM, 2022.
X. Wang, P. Arcaini, T. Yue and S. Ali. Generating Failing Test Suites for Quantum Programs with Search (hot off the press track at GECCO 2022) In GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. ACM, 2022.PDF icon gecco_2022_hop_ssbse_2021.pdf (311.38 KB)
T. Yue. Identifying and Classifying Uncertainties to support Testing of Industrial Elevators In 9th UCAAT - User Conference on Advanced Automated Testing., 2022.
N. Oldfield, T. Yue and S. Ali. Investigating Quantum Cause-Effect Graphs In 2022 IEEE/ACM 3rd International Workshop on Quantum Software Engineering (Q-SE). IEEE, 2022.PDF icon q_se2022_q_cause_effect.pdf (1.3 MB)
C. Lu, Y. Shi, H. Zhang, M. Zhang, T. Wang, T. Yue and S. Ali. "Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions." IEEE Transactions on Software Engineering 49, no. 1 (2022): 384-402.
C. Laaber, T. Yue and S. Ali. "Multi-Objective Search-Based Software Microbenchmark Prioritization." arXiv (2022).PDF icon smb-mo-prioritization-submission.pdf (1.08 MB)
X. Wang, T. Yu, P. Arcaini, T. Yue and S. Ali. Mutation-Based Test Generation for Quantum Programs with Multi-Objective Search In GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. ACM, 2022.PDF icon gecco_2022-3.pdf (989.61 KB)
J. Wu, P. Arcaini, T. Yue, S. Ali and H. Zhang. "On the Preferences of Quality Indicators for Multi-Objective Search Algorithms in Search-Based Software Engineering." The Empirical Software Engineering Journal (EMSE) 27, no. 6 (2022): 144.
T. Yue. Quantum Software Analysis, Evolution and Reengineering In ICSA-LITE., 2022.
T. Yue, P. Arcaini and S. Ali. "Quantum Software Testing: Challenges, Early Achievements, and Opportunities." the European Research Consortium for Informatics and Mathematics News (2022).
X. Wang, P. Arcaini, T. Yue and S. Ali. QuSBT: Search-Based Testing of Quantum Programs In 2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). IEEE, 2022.PDF icon qusbt_icse22.pdf (941.89 KB)
T. Yue. Testing Self-Healing Cyber-Physical Systems under Uncertainty with Reinforcement Learning: An Empirical Study In The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022)., 2022.
T. Yue, S. Ali, P. Arcaini, F. Ishikawa and C. Â. G. Gomes. Towards Requirements Engineering for Digital Twins of Cyber-Physical Systems In 11th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation, Edited by J. Fitzgerald, T. Margaria, P. G. Larsen and J. Woodcock. LNCS, 2022.
F. O. Catak, T. Yue and S. Ali. "Uncertainty-Aware Prediction Validator in Deep Learning Models for Cyber-Physical System Data." ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (2022): 1-31.
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)
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).
T. Yue. Uncertainty-aware Testing of Complex Software Systems In COEMS Forsterk Seminar 2022., 2022.
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)
T. Yue. When Software Engineering Meets Quantum Computing In Tekna's event on: The quantum revolution is moving closer., 2022.
T. Yue. When Software Engineering Meets Quantum Computing In The 1st Working Symposium on Quantum Software Engineering, Innsbruck, Austria. Innsbruck, Austria, 2022.
S. Ali, T. Yue and R. Abreu. "When Software Engineering Meets Quantum Computing." Communications of ACM 65, no. 4 (2022): 84-88.

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