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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)., 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)
N. Oldfield, T. Yue and S. Ali. Investigating Cause-Effect Graphs In Q-SE 2022 (WS). Q-SE 2022, 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 (2022).
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) (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 44th International Conference on Software Engineering (ICSE 2022), Edited by D. Hao and L. Zhang. IEEE/ACM, 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) (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)., 2022.
S. Ali, T. Yue and R. Abreu. "When Software Engineering Meets Quantum Computing." Communications of ACM (2022).
2021
K. Yin, P. Arcaini, T. Yue and S. Ali. Analyzing the Impact of Product Configuration Variations on Advanced Driver Assistance Systems with Search In The Genetic and Evolutionary Computation Conference. ACM, 2021.
Q. Xu, S. Ali and T. Yue. Anomaly Detection with Digital Twin in Cyber-Physical Systems In 2021 14th IEEE Conference on Software Testing, Verification and Validation (ICST). IEEE, 2021.PDF icon digital_twin_icst_2.pdf (447.31 KB)
Q. Xu, S. Ali and T. Yue. Anomaly Detection with Digital Twin in Cyber-Physical Systems In IEEE International Conference on Software Testing, Verification and Validation (ICST)., 2021.
X. Wang, P. Arcaini, T. Yue and S. Ali. Application of Combinatorial Testing to Quantum Programs In IEEE International Conference on Software Security and Reliability, Edited by F. Wotawa and X. Wang. IEEE, 2021.
S. Ali, P. Arcaini, X. Wang and T. Yue. Assessing the Effectiveness of Input and Output Coverage Criteria for Testing Quantum Programs In IEEE International Conference on Software Testing, Verification and Validation (ICST), Edited by R. Hierons and F. Ferrari. IEEE, 2021.PDF icon quito.pdf (1021.96 KB)
S. Ali, P. Arcaini and T. Yue. Do Quality Indicators Prefer Particular Multi-Objective Search Algorithms in Search-Based Software Engineering? (Hot Off the Press) In The Genetic and Evolutionary Computation Conference., 2021.
R. Abreu, S. Ali and T. Yue. "First International Workshop on Quantum Software Engineering (Q-SE 2020)." ACM SIGSOFT Software Engineering Notes 46, no. 2 (2021): 30-32.
X. Wang, P. Arcaini, T. Yue and S. Ali. Generating Failing Test Suites for Quantum Programs with Search In 13th Symposium on Search-Based Software Engineering. LNCS, 2021.
A. Gartziandia, A. Arrieta, S. Ali, T. Yue, A. Agirre, G. Sagardui and M. Arratibel. Microservices for Continuous Deployment, Monitoring and Validation in Cyber-Physical Systems: an Industrial Case Study for Elevators Systems In ICSA Software Architecture in Practice (SAIP) . IEEE, 2021.
E. Mendiluze, S. Ali, P. Arcaini and T. Yue. Muskit: A Mutation Analysis Tool for Quantum Software Testing. Technical Report, Simula Research Laboratory, 2021.PDF icon quantum_mutation_tool_ase_tr.pdf (317.39 KB)
E. Mendiluze, S. Ali, P. Arcaini and T. Yue. Muskit: A Mutation Analysis Tool for Quantum Software Testing In The 36th IEEE/ACM International Conference on Automated Software Engineering. IEEE/ACM, 2021.
F. O. Catak, T. Yue and S. Ali. Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving In 2021 IEEE International Conference on Artificial Intelligence Testing (AITest). Oxford, England: IEEE, 2021.PDF icon 2107.04991.pdf (6.56 MB)
S. Ali, P. Arcaini, D. Pradhan, S. A. Safdar and T. Yue. Quality Indicators in Search-Based Software Engineering: An Empirical Evaluation In 43rd International Conference on Software Engineering. IEEE, 2021.

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