Abdul Ali Bangash

According to our database, Abdul Ali Bangash authored at least 29 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository.

Adekunle Akinjobi Ajibode, Abdul Ali Bangash, Oussama Ben Sghaier, Bram Adams, Ahmed E. Hassan

Empir. Softw. Eng., September, 2026

HAFix: history-augmented large language models for bug fixing.

Yu Shi, Abdul Ali Bangash, Emad Fallahzadeh, Bram Adams, Ahmed E. Hassan

Empir. Softw. Eng., July, 2026

Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild.

Zhimin Zhao, Zehao Wang, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan

CoRR, May, 2026

On the Footprints of Reviewer Bots Feedback on Agentic Pull Requests in OSS GitHub Repositories.

Syeda Kaneez Fatima, Yousuf Abrar, Abdul Rehman Tahir, Amelia Nawaz, Shamsa Abid, Abdul Ali Bangash

CoRR, April, 2026

Reliability of AI Bots Footprints in GitHub Actions CI/CD Workflows.

Syed Muhammad Ashhar Shah, Sehrish Habib, Muizz Hussain, Maryam Abdul Ghafoor, Abdul Ali Bangash

CoRR, April, 2026

Novice Developers Produce Larger Review Overhead for Project Maintainers while Vibe Coding.

Syed Ammar Asdaque, Imran Haider, Muhammad Umar Malik, Maryam Abdul Ghafoor, Abdul Ali Bangash

CoRR, February, 2026

On the Adoption of AI Coding Agents in Open-source Android and iOS Development.

Muhammad Ahmad Khan, Hasnain Ali, Muneeb Rana, Muhammad Saqib Ilyas, Abdul Ali Bangash

CoRR, February, 2026

Understanding Prompt Management in GitHub Repositories: A Call for Best Practices.

Hao Li, Hicham Masri, Filipe Roseiro Côgo, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan

IEEE Softw., 2026

2025

The State of the SBOM Tool Ecosystems: A Comparative Analysis of SPDX and CycloneDX.

Abdul Ali Bangash, Tongxu Ge, Zhimin Zhao, Arshdeep Singh, Zitao Wang, Bram Adams

CoRR, December, 2025

Cluster-guided LLM-Based Anonymization of Software Analytics Data: Studying Privacy-Utility Trade-offs in JIT Defect Prediction.

Maaz Khan, Gul Sher Khan, Ahsan Raza, Pir Sami Ullah, Abdul Ali Bangash

CoRR, December, 2025

On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository.

Adekunle Akinjobi Ajibode, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan

CoRR, August, 2025

Towards semantic versioning of open pre-trained language model releases on hugging face.

Adekunle Akinjobi Ajibode, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan

Empir. Softw. Eng., June, 2025

On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards.

Zhimin Zhao, Abdul Ali Bangash, Filipe Roseiro Côgo, Bram Adams, Ahmed E. Hassan

IEEE Trans. Software Eng., April, 2025

Does faster mean greener? Runtime and energy trade-offs in iOS applications with compiler optimizations.

José Miguel Aragón-Jurado, Abdul Ali Bangash, Bernabé Dorronsoro, Karim Ali, Abram Hindle, Patricia Ruiz

Sustain. Comput. Informatics Syst., 2025

2024

IRJIT: A simple, online, information retrieval approach for just-in-time software defect prediction.

Hareem Sahar, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa

Empir. Softw. Eng., September, 2024

An empirical study of challenges in machine learning asset management.

Zhimin Zhao, Yihao Chen, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan

Empir. Softw. Eng., July, 2024

The State of Documentation Practices of Third-Party Machine Learning Models and Datasets.

Ernesto Lang Oreamuno, Rohan Faiyaz Khan, Abdul Ali Bangash, Catherine Stinson, Bram Adams

IEEE Softw., 2024

2023

An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS).

Weijie Sun, Samuel Iwuchukwu, Abdul Ali Bangash, Abram Hindle

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Evolution of the Practice of Software Testing in Java Projects.

Anisha Islam, Nipuni Tharushika Hewage, Abdul Ali Bangash, Abram Hindle

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Energy Consumption Estimation of API-usage in Smartphone Apps via Static Analysis.

Abdul Ali Bangash, Kalvin Eng, Jamal Qasim, Karim Ali, Abram Hindle

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Cost-effective Strategies for Building Energy Efficient Mobile Applications.

Abdul Ali Bangash

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022

IRJIT - An Information Retrieval Technique for Just-in-time Defect Identification.

Hareem Sahar, Yuxin Liu, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa

CoRR, 2022

Black Box Technique to Reduce Energy Consumption of Android Apps.

Abdul Ali Bangash, Karim Ali, Abram Hindle

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results ICSE (NIER) 2022, 2022

2021

Energy Efficient Guidelines for iOS Core Location Framework.

Abdul Ali Bangash, Daniil Tiganov, Karim Ali, Abram Hindle

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

2020

On the time-based conclusion stability of cross-project defect prediction models.

Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali

Empir. Softw. Eng., 2020

2019

Towards energy aware object-oriented development of android applications.

Hareem Sahar, Abdul Ali Bangash, Mirza Omer Beg

Sustain. Comput. Informatics Syst., 2019

On the Time-Based Conclusion Stability of Software Defect Prediction Models.

Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali

CoRR, 2019

What do developers know about machine learning: a study of ML discussions on StackOverflow.

Abdul Ali Bangash, Hareem Sahar, Shaiful Alam Chowdhury, Alexander William Wong, Abram Hindle, Karim Ali

Proceedings of the 16th International Conference on Mining Software Repositories, 2019

2017

A Methodology for Relating Software Structure with Energy Consumption.

Abdul Ali Bangash, Hareem Sahar, Mirza Omer Beg

Proceedings of the 17th IEEE International Working Conference on Source Code Analysis and Manipulation, 2017