Seguir
Gopi Krishnan Rajbahadur
Gopi Krishnan Rajbahadur
Senior Researcher, Centre for Software Excellence, Huawei
Dirección de correo verificada de huawei.com
Título
Citado por
Citado por
Año
The impact of feature importance methods on the interpretation of defect classifiers
GK Rajbahadur, S Wang, GA Oliva, Y Kamei, AE Hassan
IEEE Transactions on Software Engineering 48 (7), 2245-2261, 2021
1022021
A survey of anomaly detection for connected vehicle cybersecurity and safety
GK Rajbahadur, AJ Malton, A Walenstein, AE Hassan
2018 IEEE Intelligent Vehicles Symposium (IV), 421-426, 2018
832018
The impact of using regression models to build defect classifiers
GK Rajbahadur, S Wang, Y Kamei, AE Hassan
2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017
782017
Towards training reproducible deep learning models
B Chen, M Wen, Y Shi, D Lin, GK Rajbahadur, ZM Jiang
Proceedings of the 44th International Conference on Software Engineering …, 2022
422022
An empirical study of the characteristics of popular minecraft mods
D Lee, GK Rajbahadur, D Lin, M Sayagh, CP Bezemer, AE Hassan
Empirical Software Engineering 25, 3396-3429, 2020
372020
Is my transaction done yet? an empirical study of transaction processing times in the ethereum blockchain platform
M Pacheco, G Oliva, GK Rajbahadur, A Hassan
ACM Transactions on Software Engineering and Methodology 32 (3), 1-46, 2023
332023
Impact of discretization noise of the dependent variable on machine learning classifiers in software engineering
GK Rajbahadur, S Wang, Y Kamei, AE Hassan
IEEE Transactions on Software Engineering 47 (7), 1414-1430, 2019
302019
Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction
L Gong, GK Rajbahadur, AE Hassan, S Jiang
IEEE Transactions on Software Engineering, 2021
242021
Towards a consistent interpretation of aiops models
Y Lyu, GK Rajbahadur, D Lin, B Chen, ZM Jiang
ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (1), 1-38, 2021
242021
Revisiting reopened bugs in open source software systems
A Tagra, H Zhang, GK Rajbahadur, AE Hassan
Empirical Software Engineering 27 (4), 92, 2022
132022
Rethinking software engineering in the era of foundation models: A curated catalogue of challenges in the development of trustworthy fmware
AE Hassan, D Lin, GK Rajbahadur, K Gallaba, FR Cogo, B Chen, ...
Companion Proceedings of the 32nd ACM International Conference on the …, 2024
112024
Pitfalls analyzer: quality control for model-driven data science pipelines
GK Rajbahadur, GA Oliva, AE Hassan, J Dingel
2019 ACM/IEEE 22nd International Conference on Model Driven Engineering …, 2019
112019
Towards privacy preserving cross project defect prediction with federated learning
H Yamamoto, D Wang, GK Rajbahadur, M Kondo, Y Kamei, N Ubayashi
2023 IEEE International Conference on Software Analysis, Evolution and …, 2023
102023
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
H Li, GK Rajbahadur, D Lin, CP Bezemer, ZM Jiang
IEEE Access, 2024
92024
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study
M Pacheco, GA Oliva, GK Rajbahadur, AE Hassan
Empirical Software Engineering 28 (2), 39, 2023
72023
Can I use this publicly available dataset to build commercial AI software?--A Case Study on Publicly Available Image Datasets
GK Rajbahadur, E Tuck, L Zi, D Lin, B Chen, Z Ming, DM German
arXiv preprint arXiv:2111.02374, 2021
62021
Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware.
AE Hassan, D Lin, GK Rajbahadur, K Gallaba, FR Côgo, B Chen, ...
arXiv preprint arXiv:2402.15943, 2024
52024
Can I use this publicly available dataset to build commercial AI software? most likely not
GK Rajbahadur, E Tuck, L Zi, Z Wei, D Lin, B Chen, ZM Jiang, ...
CoRR, abs/2111.02374, 1-1, 2021
32021
Studying the impact of tensorflow and pytorch bindings on machine learning software quality
H Li, GK Rajbahadur, CP Bezemer
ACM Transactions on Software Engineering and Methodology, 2024
22024
SimClone: Detecting Tabular Data Clones using Value Similarity
X Yang, GK Rajbahadur, D Lin, S Wang, ZM Jiang
ACM Transactions on Software Engineering and Methodology, 2024
12024
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20