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Rodrigo Queiroz
Rodrigo Queiroz
Ph.D., University of Waterloo
Verified email at uwaterloo.ca
Title
Cited by
Cited by
Year
An analysis of ISO 26262: Using machine learning safely in automotive software
R Salay, R Queiroz, K Czarnecki
arXiv preprint arXiv:1709.02435, 2017
2092017
GeoScenario: An Open DSL for Autonomous Driving Scenario Representation
R Queiroz, T Berger, K Czarnecki
IEEE Intelligent Vehicles Symposium, 2019
952019
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
582018
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
572017
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
252016
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
142014
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
42024
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
12022
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