Rodrigo Queiroz
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
932017
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
44*2017
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, 2018
312018
GeoScenario: An Open DSL for Autonomous Driving Scenario Representation
R Queiroz, T Berger, K Czarnecki
IEEE Intelligent Vehicles Symposium, 2019
202019
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
92016
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
92014
Feature Scattering in the Linux Kernel: A Developer’s Perspective
R Queiroz
CS646 Topics in Empirical Software Evolution Course Project, 2016
2016
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