| An analysis of ISO 26262: Using machine learning safely in automotive software R Salay, R Queiroz, K Czarnecki arXiv preprint arXiv:1709.02435, 2017 | 224 | 2017 |
| GeoScenario: An Open DSL for Autonomous Driving Scenario Representation R Queiroz, T Berger, K Czarnecki IEEE Intelligent Vehicles Symposium, 2019 | 105 | 2019 |
| A study of feature scattering in the linux kernel L Passos, R Queiroz, M Mukelabai, T Berger, S Apel, K Czarnecki, ... IEEE Transactions on Software Engineering 47 (1), 146-164, 2018 | 64 | 2018 |
| The shape of feature code: an analysis of twenty C-preprocessor-based systems R Queiroz, L Passos, MT Valente, C Hunsen, S Apel, K Czarnecki Software & Systems Modeling 16 (1), 77-96, 2017 | 57 | 2017 |
| Towards predicting feature defects in software product lines R Queiroz, T Berger, K Czarnecki Proceedings of the 7th International Workshop on Feature-Oriented Software …, 2016 | 27 | 2016 |
| Does feature scattering follow power-law distributions? an investigation of five pre-processor-based systems R Queiroz, L Passos, MT Valente, S Apel, K Czarnecki Proceedings of the 6th International Workshop on Feature-Oriented Software …, 2014 | 14 | 2014 |
| A driver-vehicle model for ADS scenario-based testing R Queiroz, D Sharma, R Caldas, K Czarnecki, S García, T Berger, ... IEEE Transactions on Intelligent Transportation Systems, 2024 | 7 | 2024 |
| A hierarchical pedestrian behavior model to generate realistic human behavior in traffic simulation S Larter, R Queiroz, S Sedwards, A Sarkar, K Czarnecki 2022 IEEE Intelligent Vehicles Symposium (IV), 533-541, 2022 | 1 | 2022 |
Krzysztof CzarneckiProfessor of Electrical and Computer Engineering在 gsd.uwaterloo.ca 的电子邮件经过验证
