| 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 | 161 | 2021 |
| 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 | 100 | 2018 |
| 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 12, 70676-70689, 2024 | 98 | 2024 |
| 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 | 88 | 2017 |
| 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 | 71 | 2022 |
| 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 | 63 | 2023 |
| 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 (5), 3396-3429, 2020 | 51 | 2020 |
| 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 | 43 | 2019 |
| 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 | 42 | 2021 |
| 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 | 39 | 2024 |
| 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 | 38 | 2021 |
| Model context protocol (mcp) at first glance: Studying the security and maintainability of mcp servers MM Hasan, H Li, E Fallahzadeh, GK Rajbahadur, B Adams, AE Hassan arXiv preprint arXiv:2506.13538, 2025 | 31 | 2025 |
| 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 | 24 | 2023 |
| 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 | 20 | 2023 |
| Revisiting reopened bugs in open source software systems A Tagra, H Zhang, GK Rajbahadur, AE Hassan Empirical Software Engineering 27 (4), 92, 2022 | 18 | 2022 |
| Jiahuei (Justina) Lin, Wali Mohammad Abdullah, and Zhen Ming (Jack) Jiang. 2024. Rethinking software engineering in the era of foundation models: A curated catalogue of … AE Hassan, D Lin, GK Rajbahadur, K Gallaba, FR Cogo, B Chen, ... Companion Proceedings of the 32nd ACM International Conference on the …, 2024 | 16 | 2024 |
| 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 34 (1), 1-31, 2024 | 15 | 2024 |
| 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 | 13 | 2019 |
| 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 | 12 | 2021 |
| Implementing AI Bill of Materials (AI BOM) with SPDX 3.0: A Comprehensive Guide to Creating AI and Dataset Bill of Materials K Bennet, GK Rajbahadur, A Suriyawongkul, K Stewart arXiv preprint arXiv:2504.16743, 2025 | 11 | 2025 |
Ahmed E. HassanMustafa Prize Laureate, ACM/IEEE/NSERC Steacie Fellow, ACM Influential/IEEE Distinguished EducatorVerified email at cs.queensu.ca
