| What do developers know about machine learning: a study of ml discussions on stackoverflow AA Bangash, H Sahar, S Chowdhury, AW Wong, A Hindle, K Ali 2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019 | 67 | 2019 |
| On the time-based conclusion stability of cross-project defect prediction models AA Bangash, H Sahar, A Hindle, K Ali Empirical Software Engineering 25 (6), 5047-5083, 2020 | 49 | 2020 |
| Towards energy aware object-oriented development of android applications H Sahar, AA Bangash, MO Beg Sustainable Computing: Informatics and Systems 21, 28-46, 2019 | 36 | 2019 |
| A methodology for relating software structure with energy consumption AA Bangash, H Sahar, MO Beg 2017 IEEE 17th International Working Conference on Source Code Analysis and …, 2017 | 26 | 2017 |
| Ensights: A tool for energy aware software development HM Alvi, H Sahar, AA Bangash, MO Beg 2017 13th International Conference on Emerging Technologies (ICET), 1-6, 2017 | 23 | 2017 |
| A black box technique to reduce energy consumption of android apps AA Bangash, K Ali, A Hindle Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022 | 16 | 2022 |
| Energy efficient guidelines for ios core location framework AA Bangash, D Tiganov, K Ali, A Hindle 2021 IEEE international conference on software maintenance and evolution …, 2021 | 14 | 2021 |
| An Empirical Study of Challenges in Machine Learning Asset Management Z Zhao, Y Chen, AA Bangash, B Adams, AE Hassan Empirical Software Engineering 2024, 2024 | 8 | 2024 |
| Energy consumption estimation of API-usage in smartphone apps via static analysis AA Bangash, K Eng, Q Jamal, K Ali, A Hindle 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 8 | 2023 |
| The state of documentation practices of third-party machine learning models and datasets EL Oreamuno, RF Khan, AA Bangash, C Stinson, B Adams IEEE Software, 2024 | 6 | 2024 |
| Evolution of the practice of software testing in java projects A Islam, NT Hewage, AA Bangash, A Hindle 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 3 | 2023 |
| Towards semantic versioning of open pre-trained language model releases on hugging face A Ajibode, AA Bangash, FR Cogo, B Adams, AE Hassan Empirical Software Engineering 30 (3), 1-63, 2025 | 2 | 2025 |
| An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS) W Sun, S Iwuchukwu, AA Bangash, A Hindle 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 2 | 2023 |
| IRJIT: A simple, online, information retrieval approach for just-in-time software defect prediction H Sahar, AA Bangash, A Hindle, D Barbosa Empirical Software Engineering 29 (5), 131, 2024 | 1 | 2024 |
| Cost-effective Strategies for Building Energy Efficient Mobile Applications AA Bangash 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 1 | 2023 |
| On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards Z Zhao, AA Bangash, FR Côgo, B Adams, AE Hassan IEEE Transactions on Software Engineering, 2025 | | 2025 |
| HAFix: History-Augmented Large Language Models for Bug Fixing Y Shi, AA Bangash, E Fallahzadeh, B Adams, AE Hassan arXiv preprint arXiv:2501.09135, 2025 | | 2025 |
| Cost-effective Strategies to Develop Energy-Efficient Mobile Applications AA Bangash | | 2023 |
| IRJIT--An Information Retrieval Technique for Just-in-time Defect Identification H Sahar, Y Liu, AA Bangash, A Hindle, D Barbosa Empirical Software Engineering 2024, 2022 | | 2022 |
| Sustainable Computing: Informatics and Systems H Sahar, AA Bangash, MO Beg | | 2018 |
Abram HindleUniversity of AlbertaE-mail confirmado em ualberta.ca