Sarah Nadi
Sarah Nadi
Associate Professor, New York University Abu Dhabi
Verified email at - Homepage
Cited by
Cited by
Jumping through hoops: Why do Java developers struggle with cryptography APIs?
S Nadi, S Krüger, M Mezini, E Bodden
Proceedings of the 38th International Conference on Software Engineering …, 2016
An empirical evaluation of GitHub copilot's code suggestions
N Nguyen, S Nadi
Proceedings of the 19th International Conference on Mining Software …, 2022
Mining configuration constraints: Static analyses and empirical results
S Nadi, T Berger, C Kästner, K Czarnecki
Proceedings of the 36th international conference on software engineering …, 2014
A systematic evaluation of static api-misuse detectors
S Amann, HA Nguyen, S Nadi, TN Nguyen, M Mezini
IEEE Transactions on Software Engineering 45 (12), 1170-1188, 2018
Cognicrypt: Supporting developers in using cryptography
S Krüger, S Nadi, M Reif, K Ali, M Mezini, E Bodden, F Göpfert, F Günther, ...
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
Where do configuration constraints stem from? an extraction approach and an empirical study
S Nadi, T Berger, C Kästner, K Czarnecki
IEEE Transactions on Software Engineering 41 (8), 820-841, 2015
A study of visual studio usage in practice
S Amann, S Proksch, S Nadi, M Mezini
2016 IEEE 23rd International Conference on Software Analysis, Evolution, and …, 2016
The love/hate relationship with the C preprocessor: An interview study
F Medeiros, C Kästner, M Ribeiro, S Nadi, R Gheyi
29th European Conference on Object-Oriented Programming (ECOOP 2015), 2015
MUBench: A benchmark for API-misuse detectors
S Amann, S Nadi, HA Nguyen, TN Nguyen, M Mezini
Proceedings of the 13th international conference on mining software …, 2016
The msr cookbook: Mining a decade of research
H Hemmati, S Nadi, O Baysal, O Kononenko, W Wang, R Holmes, ...
2013 10th Working Conference on Mining Software Repositories (MSR), 343-352, 2013
An empirical evaluation of using large language models for automated unit test generation
M Schäfer, S Nadi, A Eghbali, F Tip
IEEE Transactions on Software Engineering, 2023
Adaptive test generation using a large language model
M Schäfer, S Nadi, A Eghbali, F Tip
arXiv preprint arXiv:2302.06527, 2023
Mining Kbuild to detect variability anomalies in Linux
S Nadi, R Holt
Software Maintenance and Reengineering (CSMR), 2012 16th European Conference …, 2012
Investigating next steps in static API-misuse detection
A Sven, HA Nguyen, S Nadi, TN Nguyen, M Mezini
2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019
On the positive effect of reactive programming on software comprehension: An empirical study
G Salvaneschi, S Proksch, S Amann, S Nadi, M Mezini
IEEE Transactions on Software Engineering 43 (12), 1125-1143, 2017
Predicting merge conflicts in collaborative software development
M Owhadi-Kareshk, S Nadi, J Rubin
2019 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2019
Are refactorings to blame? an empirical study of refactorings in merge conflicts
M Mahmoudi, S Nadi, N Tsantalis
2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019
The Linux Kernel: A Case Study of Build System Variability
S Nadi, R Holt
Clone-based variability management in the android ecosystem
J Businge, M Openja, S Nadi, E Bainomugisha, T Berger
2018 IEEE International Conference on Software Maintenance and Evolution …, 2018
Towards secure integration of cryptographic software
S Arzt, S Nadi, K Ali, E Bodden, S Erdweg, M Mezini
2015 ACM International Symposium on New Ideas, New Paradigms, and …, 2015
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