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ORCIDAbdul Ali Bangash
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2020 – today
- 2024
[j5]Zhimin Zhao
, Yihao Chen, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan:
An empirical study of challenges in machine learning asset management. Empir. Softw. Eng. 29(4): 98 (2024)- [j4]Hareem Sahar, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa:
IRJIT: A simple, online, information retrieval approach for just-in-time software defect prediction. Empir. Softw. Eng. 29(5): 131 (2024) - [j3]Ernesto Lang Oreamuno, Rohan Faiyaz Khan, Abdul Ali Bangash, Catherine Stinson, Bram Adams:
The State of Documentation Practices of Third-Party Machine Learning Models and Datasets. IEEE Softw. 41(5): 52-59 (2024) - [i6]Zhimin Zhao, Yihao Chen, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan:
An Empirical Study of Challenges in Machine Learning Asset Management. CoRR abs/2402.15990 (2024) - [i5]Zhimin Zhao, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan:
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards. CoRR abs/2407.04065 (2024) - [i4]Adekunle Ajibode, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan:
Towards Semantic Versioning of Open Pre-trained Language Model Releases on Hugging Face. CoRR abs/2409.10472 (2024) - 2023
- [c8]Abdul Ali Bangash:
Cost-effective Strategies for Building Energy Efficient Mobile Applications. ICSE Companion 2023: 281-285 - [c7]Abdul Ali Bangash, Kalvin Eng, Jamal Qasim, Karim Ali, Abram Hindle:
Energy Consumption Estimation of API-usage in Smartphone Apps via Static Analysis. MSR 2023: 272-283 - [c6]Weijie Sun, Samuel Iwuchukwu, Abdul Ali Bangash, Abram Hindle:
An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS). MSR 2023: 352-356 - [c5]Anisha Islam, Nipuni Tharushika Hewage, Abdul Ali Bangash, Abram Hindle:
Evolution of the Practice of Software Testing in Java Projects. MSR 2023: 367-371 - [i3]Ernesto Lang Oreamuno, Rohan Faiyaz Khan, Abdul Ali Bangash, Catherine Stinson, Bram Adams:
The State of Documentation Practices of Third-party Machine Learning Models and Datasets. CoRR abs/2312.15058 (2023) - 2022
- [c4]Abdul Ali Bangash, Karim Ali, Abram Hindle:
Black Box Technique to Reduce Energy Consumption of Android Apps. ICSE (NIER) 2022: 1-5 - [i2]Hareem Sahar, Yuxin Liu, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa:
IRJIT - An Information Retrieval Technique for Just-in-time Defect Identification. CoRR abs/2210.02435 (2022) - 2021
- [c3]Abdul Ali Bangash, Daniil Tiganov, Karim Ali, Abram Hindle:
Energy Efficient Guidelines for iOS Core Location Framework. ICSME 2021: 320-331 - 2020
- [j2]Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali:
On the time-based conclusion stability of cross-project defect prediction models. Empir. Softw. Eng. 25(6): 5047-5083 (2020)
2010 – 2019
- 2019
- [j1]Hareem Sahar, Abdul Ali Bangash, Mirza Omer Beg:
Towards energy aware object-oriented development of android applications. Sustain. Comput. Informatics Syst. 21: 28-46 (2019) - [c2]Abdul Ali Bangash, Hareem Sahar, Shaiful Alam Chowdhury, Alexander William Wong, Abram Hindle, Karim Ali:
What do developers know about machine learning: a study of ML discussions on StackOverflow. MSR 2019: 260-264 - [i1]Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali:
On the Time-Based Conclusion Stability of Software Defect Prediction Models. CoRR abs/1911.06348 (2019) - 2017
- [c1]Abdul Ali Bangash, Hareem Sahar, Mirza Omer Beg:
A Methodology for Relating Software Structure with Energy Consumption. SCAM 2017: 111-120
Coauthor Index
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last updated on 2024-10-14 23:32 CEST by the dblp team
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