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Filters: Author is Paolo Arcaini  [Clear All Filters]
2020
A. Calò, P. Arcaini, S. Ali, F. Hauer and F. Ishikawa. Generating Avoidable Collision Scenarios for Testing Autonomous Driving Systems In IEEE International Conference on Software Testing, Verification and Validation (ICST) 2020, Edited by J. Micco and M. Pistoia. IEEE, 2020.
S. Ali, P. Arcaini, D. Pradhan, S. A. Safdar and T. Yue. "Quality Indicators in Search-Based Software Engineering: An Empirical Evaluation." ACM Transactions on Software Engineering and Methodology (TOSEM) (2020).PDF icon tosem_qis_preprint.pdf (1.22 MB)
A. Calò, P. Arcaini, S. Ali, F. Hauer and F. Ishikawa. Simultaneously Searching and Solving Multiple Avoidable Collisions for Testing Autonomous Driving Systems In The Genetic and Evolutionary Computation Conference (GECCO). ACM, 2020.
2019
N. Lee, P. Arcaini, S. Ali and F. Ishikawa. Stability Analysis for Safety of Automotive Multi-Product Lines: A Search-Based Approach In The Genetic and Evolutionary Computation Conference (GECCO). ACM, 2019.
S. Ali, P. Arcaini, I. Hasuo, F. Ishikawa and N. Lee. Towards a Framework for the Analysis of Multi-Product Lines in the Automotive Domain In Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems, Edited by G. Perrouin. New York, NY, USA: ACM, 2019.